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00:00 So what? Yes I think it . Should have been you're not finding

00:18 one grain at a time. Um right. What's your email again?

00:46 four? There you are. Yeah. What you know her

01:01 Is that her? Yes. Oh 52 MB. Well I think we

01:17 still email that. What we use use mail drop. It'll work.

01:27 take a minute. No thank Yes thank you. Wonderful. Okay

01:59 megabytes. It was easy. Um that looks like that's done. So

02:07 got your notes we can get So we had finished last time And

02:20 like 2nd too many things here. . Mhm. Mhm. Yeah.

02:41 do I get rid of that? you. Okay so we talked last

03:08 about how we can use the tribal is to understand the tectonics and the

03:12 . How by looking at the uh time, the age of the

03:20 the edge of the stratum to the of the cooling age that came out

03:24 the out of the of the We're going to look at a couple

03:28 variations on that just now. So going to zoom in on this region

03:37 in the Himalayas. Just gonna pay to this this bit right here.

03:43 This one sample is from a the the mari Andy Marchionne di river

03:51 which covers all of these rivers are in to that one spot. And

03:56 the advantage the advantage of doing this the tribal stuff is we're going to

04:00 about all the tectonics of this region having to go and collect all these

04:09 now. The disadvantage of course is we don't know exactly where these samples

04:13 coming from. They're coming from the up here somewhere. But you know

04:17 that's the trade off. You get sample, you learn about a lot

04:20 information but not not not location Um And for this we're gonna be

04:27 at sort of more recent activity in to understand the variation of topography in

04:33 active mountain range like this. So we think of closure temperatures, think

04:41 death ah but as we've talked about when we when we vary the surface

04:49 the earth by having valleys and Um That will complicate things a little

04:55 ah at the very it's the very bit when we have tall mountains we

05:02 compare the ages at the top and bottom. Um And if we I

05:08 see the slides changing in the Okay, you can't see the

05:14 Can you see the slides changing? what are we doing wrong here,

05:19 back to how do I get I can't hear you. Okay so

05:44 stop share and start again. Let's . Uh huh. There it

06:08 Yes, I can see now. So the what the mineral we're gonna

06:19 looking at in this application is muscovite that's because muscovite is very common in

06:27 rocks that are common all over the . And that's nice because muscovites present

06:34 all on almost all the outcrops were be considering if we were going to

06:38 at some mineral like garnett or some mineral, you know, we can't

06:43 sure it's in every place, but this is, this is Himalayas,

06:48 everywhere. That's good. Another thing that because let me ask what's the

06:54 temperature of argon and muscovite? 400 about 400. Yes. Okay,

07:03 that means because it's so hot, don't have to worry too much about

07:07 variations in the mountains and the valleys for what the ice with the 400

07:13 icy therm is doing 400 degrees is line down there about 13 kilometers.

07:20 so when we see a mountain such this one, the sample at the

07:25 would have would have reached that ice ice a therm first and then the

07:30 afterwards, Just like that example we at with the bio types last

07:35 Um Well if we were to take sample from the river that was looking

07:44 these mountains and these valleys, we then plot a distribution of their ages

07:51 what we're gonna do is compare that of ages to the distribution of elevations

07:58 in a simple, let me see a simple situation, we ought to

08:01 able to take the hip summitry, is the graph of elevation where we

08:07 the fractional area versus elevation. That us that most of the elevations are

08:12 , but this is the lowest this is the highest elevation and this

08:15 the most common elevation. Um There to be a if if we have

08:21 simple age elevation relationship which we would , if there was like steady state

08:27 through this thing, then we should able to take this and and and

08:31 in with relation to this and get a diagram which was showing the uh

08:39 of ages for the Bedrock Valley uh . And so we could get a

08:49 probability diagram. I talked about those time. That's how we're gonna compare

08:53 things. And so to get a probability diagram for elevation, all we

08:59 to do is to have a digital model, right, that's available to

09:05 sorts of things all over the And so you can just say,

09:08 the lowest elevation is zero m and highest elevation is 2500 m. And

09:13 some relationship in between. You can the same thing with the ages that

09:19 got from the river. You gather sand from the river and you date

09:23 bunch of the samples from the river then the youngest one is this and

09:26 oldest one is this. And you draw a curve. But how are

09:30 going to compare these curves? How we compare things with different units on

09:35 we're going to compare an elevation curb an age curve. We're gonna have

09:40 find a way to relate these together the way we're going to do that

09:45 by non dimensional izing both curves. gonna plot not elevation but what we

09:51 Z. Star and not age but we call T. Star, Z

09:56 is the elevation in question minus the elevation divided by the range abilities.

10:04 it's basically the star is what percentage the way we are up the men

10:08 the range and T. Stars the thing. And so we're now we're

10:12 at these non dimensional ized values as as a function of how far they

10:17 above the range of our data from whatever the lowest ages to the highest

10:22 , whatever the lowest elevation is to highest elevation. And now then we

10:26 compare these two things on the same because they both are dimension lists.

10:31 so we can see are these cumulative diagrams equal to one another. But

10:37 let me just stop. Does that sense? Does he follow what I'm

10:40 here? Okay. Um but we have a problem because for the amount

10:49 for for ages the bread curve and going to be somewhere between 50 and

10:55 . I mean you know maybe you crazy and you date 1000 minerals.

10:58 would be a lot. But let's say we did 100 and 17 are

11:02 favorite number. How many elevator? many points are there for? For

11:08 digital elevation model. There are many of points. If you have a

11:12 good remote sensing information. Is it is it fair to compare a sample

11:20 many thousands to a sample of many . You have an issue there.

11:26 so the way we're going to do is that we're gonna take the age

11:32 whatever they are. Um In this the age in this sample on on

11:38 I hear the number the end of . Star equals 295. That means

11:45 we analyzed 295 grains. And that's red curve. What we're gonna do

11:51 Z. Star is randomly Sample the elevation model 295 times. So that

12:03 are comparing apples to apples. We're a sample of 295 to a sample

12:07 2 95. But we're gonna do . Random sampling of the elevation model

12:14 different times and plot them all on curve. And so the why the

12:21 blue lines are all of the individual . The dark blue line is the

12:25 of all of them. And so gives us a better sense of how

12:29 can compare the data. And so when we compare these two curves we

12:35 then test out various assumptions and these these are the things we're wondering about

12:40 . Star and Z. Star. two curves will correspond if the following

12:47 are true. If we have thermal topographic steady state, that is.

12:53 are. Well actually the most important is well, a topographic steady state

13:00 that we are not we're not changing The surface conditions in significant ways.

13:09 the second most important one. Oh thing about topographic steady state is that

13:14 don't have big false in our in region if we have a big fault

13:22 going to affect the distance that the had to travel from their cooling age

13:26 the surface. So that's what topographic states referring to. And that's also

13:31 to uniform erosion rates across the If everything is is eroding the same

13:37 . We should see that the elevation the age should be correlate herbal in

13:42 way we describe. And we also to worry that of all the places

13:47 there in the catchment, we're sampling of them. Um because we have

13:52 in just about every outcrop here. feel pretty good about that. And

13:58 um what we did here was look some uh Detroit old data from this

14:07 in the Himalayas. Um There's a of different rock types in the

14:13 Um But I'm not sure that's very right now. Let's see, I

14:17 what does that say? Oh we the uniform erosion rates is a tough

14:24 because, you know, you've you've got steep slopes and flat

14:27 so that might not be a very way to keep think of things we

14:32 think of representative sampling being okay because I said, muscovites are everywhere.

14:38 and so here are the data. comes from a variety of publications that

14:42 been put together and what we have is a catchment. Let me

14:47 I didn't show you exactly where that this, where's, here's a

14:51 here's 40 kilometers and we're looking at region that is about in here out

14:57 . And so that this this is black line here is the is the

15:02 catchment of this sample right here, . 02 17. Inside that river

15:10 are other smaller rivers that have smaller bits in there. And then the

15:16 , the age probability diagram for each is shown with that red line,

15:22 can see that some of these are broad, like M. O.

15:25 17. That that's good. That's sense because it's the one that's covering

15:29 most region. Some of these are covering very small up this one

15:34 like, like good or S. S. 40 or uh M.

15:40 . M. O. Yeah, 40 is a good one. They

15:46 very high up the river. And there's a very small amount of samples

15:50 collect from that. And so you'd there to have a more narrow

15:55 And so this is the result of of the various catchment areas that we

16:01 . And remember if these two things match up the red and the blue

16:08 , Those those assumptions we made are correct. And the biggest correct.

16:14 biggest assumptions are is that there have no major faults since closure and that

16:23 , that the samples were coming up least kind of straight together and that

16:28 rate of erosion hasn't changed much over . You'll notice that in some places

16:34 things fit together in some places they and it's it's a bit interesting in

16:38 these numbers here represent the drainage area the individual samples in square kilometers.

16:45 we have a drainage area of only square kilometers. And the data match

16:49 pretty well. Sometimes we have a great drainage area of 81,000 square kilometers

16:57 those actually show up not too Some of these others turned out to

17:02 pretty bad, like, like this here in the upper mar sandy,

17:06 quite different from the blue curve. one's bad. This one's bad.

17:12 You know, it varies. This pretty good. This one's quite

17:16 Uh This one is very good, that you can see that for for

17:21 places, the assumption about our drainage can be shown to be pretty good

17:28 questionable. It's interesting that the the that have the largest drainage areas show

17:34 pretty well on this diagram and that's counterintuitive, isn't it? Because the

17:39 the drainage area gets, the more it is, it's not going to

17:42 uniform and everything is gonna be the and we're not gonna have big

17:46 And I've always thought the only reason that's the case is those look good

17:49 that somehow you've got some sort of going on and where it's bad in

17:53 area, it's good in another and ends up looking good overall. Um

17:59 anyway, it is a it is illustration of how we can use modern

18:04 and dating of samples from rivers To us something about tectonics of the recent

18:11 not, you know from today, back to the time at which these

18:16 were closing to Argon loss, which back in some of these cases

18:21 20 million years. So we can modern topography to tectonics over a 10

18:26 year period. And so if you're in how the how the are the

18:32 of the mountains has changed how the of material from the mountain to the

18:38 has changed. This is one way understand it without analyzing samples from all

18:43 the place, you could just go one river scoop up some sand,

18:47 two or 300 grains. And that's lot less work than analyzing this sample

18:52 this sample and this sample. But downside is the spatial spatial information is

19:02 . Oh, I put green boxes the ones that really worked well and

19:06 red boxes around the ones that don't well. Yeah. Um Okay,

19:15 that was all in this region this Nar Eonni basin. Let's now

19:20 over here. We have another sample NAG 12 and it comes from the

19:28 River, which has a different brain over here. And let's compare the

19:34 from those two places. Here are age distributions for the muscovites from the

19:40 places. And you can see that pretty different. I think we have

19:45 on one diagram. No, we we don't go back. You can

19:50 they're quite different. The M. . to 17 samples are almost all

19:58 than 12 million years old, Whereas energy 12 samples are almost all older

20:04 12 million years old. Um and there's some some details you might want

20:10 look but and look at the look the end value, have an equal

20:14 and equal 177. This is beginning be enough samples to begin to say

20:19 we have a reasonably good characterization of we should see. You know,

20:23 is nice, it's not 1000 but 20. So what does this tell

20:30 about? So to now we're looking bigger scale information about the mountain range

20:34 we've got these big rivers now and we can say that this tells us

20:39 the tectonics of the eastern region has much more active in the last

20:45 10 million years than in the Western . Because we are sampling muscovites from

20:50 entire rested region And age is less 10 million years are quite, quite

20:57 and that wouldn't be what you'd expect you've been having a lot of tectonic

21:01 since that time. That's what you over here in the east, you

21:05 something else in the west. And , we learned that by not going

21:10 every outcrop in the west and we just got two samples of two

21:16 . Um And it makes sense if look at the geology of the

21:21 there's a big fault system that goes there. The western Nepal fault system

21:25 which uh you know, doesn't perfectly these regions by by by great river

21:33 . And here's the here's the boundary the river catchments and here's the boundary

21:37 the tectonic zones. But it's close . Um and it explains that on

21:42 side of the fault, we're getting action on this side, it's

21:45 it's it's older. So there's a a structural Explanation for why these two

21:51 are different. Um So now I to look at, Yeah, I

21:58 to look now just at the Karnali and what we have here, I've

22:02 showed you this sample in A. . 12. What we have is

22:10 addition to the muscovite data which are on this side of the diagram,

22:18 also have fishing track zircon data from or less the same place. This

22:23 from a different paper but they got got data from the bullets. The

22:28 place. We have muscovite data from modern river, we have appetite fishing

22:33 from a modern river. We also samples that go back in time.

22:37 sand stones that are in the foreland of the Himalayas are called a shopaholic

22:43 group. And we have a sample about seven million and a sample at

22:48 15 million. And what we have are distributions of Muscovite ages and fish

22:54 track Zircon ages or the two samples the for the three times license 15

23:01 , seven million. Modern. What's closure temperature of fishing track? Zircon

23:12 . Yeah, I would. Let's say around 200. Yeah, around

23:17 21275 is pretty darn high. But just go with 200. So what

23:22 got here are are places that 11 of data is telling us broadly when

23:29 region was coming to to temperatures of 400. And then the next state

23:33 data are telling us broadly when we're to temperatures of about 200. And

23:39 notice that they're um they're full of variation I think the next diagram.

23:44 what we're gonna do is consider a of three locations. We've got

23:52 B. And A. And we're talk about those places as zones that

23:59 in the crust, but deep deep the crust that are coming out.

24:03 so if we look at the 15 the that says 13, that says

24:09 , I don't know. Let's call 15, I think this might be

24:12 . Um the 15 million year old here, the zircons are about Focused

24:22 around 16 million and the Muscovites are older, 2020 million years and

24:30 And that's good. We're gonna call the green rocks that were coming to

24:33 surface Around 13 million years ago. that are the blue rocks and the

24:39 rocks. So 22 million years ago green rocks were passing through 400°. That's

24:50 telling us that's telling us this because most of these muscovites are 22

24:56 . So around then, based on information, the green rocks, the

25:01 that came to the surface 13 million ago and we say they came to

25:05 surface 13 million years ago because they're a 13 million year old sedimentary

25:09 we're assuming that the amount of time took for them to get to the

25:13 and then deposited in this basin is small. So We can say that

25:20 rocks were at 400° in this period million years. We'll call it

25:27 These same rocks based on the zircon track data, which are also from

25:32 same sandstone, they must have been around 200 degrees around 16 million years

25:40 . Based on that peak of samples there. So we can take these

25:44 rocks and they were at at Zone has has mostly muscovites around 20.

25:50 they were going to put it But this same zone has zircons In

25:55 in this 10-20 range. So that's put them here at around 16

26:03 So, we've taken that group of that that group of samples that made

26:07 to the surface at 13. We put it back and say where they

26:11 at 16 and where they were at depth wise, or temperature wise.

26:17 then 13 million years ago, we that this group of rocks came to

26:22 surface. That's not told to us any thermal chronology. That's told to

26:26 by this tree geography. These rocks in a great Sandstone. That's 13

26:32 . Okay, what about the other ? Well, we know that rocks

26:38 we call Group B rocks in blue , that excuse me, Group B

26:44 were coming to the surface right around million years for the muscovites. And

26:52 about the same time for the So, what we see here in

26:56 Yukon and the appetite and the fishing . Excuse me, in the Zircon

27:01 track and the argon muscovite. The are pretty close together. This suggests

27:07 we had an acceleration of uplift around time, so that we moved from

27:11 from from from, from muscovite ages appetite. Zircon ages pretty quickly.

27:18 so we can put zone B you know, near the surface About

27:24 million years and pretty much gone from surface by seven million because of these

27:28 things. And then finally, Zone , which was below all of those

27:32 , We know that it was Um the We go, if we

27:38 back zone C was at about 400° 16 million years ago. And that's

27:46 with this, right? We've got ages here that are about 16,

27:51 going back. We can put zone here. And then we put zone

27:57 through the fishing track. Zircon time at about 10 million. Excuse

28:02 at about 10 million. And then they made it to the surface.

28:06 , by looking at two thermal kilometers three strata, graphic levels, we

28:11 we can sort out the overall history this big region, you know,

28:16 the past. What we've done is to take a single sample and and

28:20 it by different ways and do the sort of thing, temperature time diagram

28:25 , we're looking more broadly, but the same idea. Um Okay,

28:32 more thing from this region and then move on something else. Finally,

28:39 this is the work one of my students did a couple of years ago

28:43 what she did was go back to eastern region. And we have,

28:52 make we can make a map of bedrock ages. There's lots of bedrock

28:56 . We were talking about the tribal before, but it just so happens

28:59 this region. A lot of that bedrock data is also available. And

29:05 you can make a map of of of those bedrock ages here and in

29:10 region here. And we're just looking this region here, which is the

29:15 of this river that we've talked about uh M. 02 17. And

29:21 you can see that based on we have a zone here right along

29:25 fault Called the main central thrust where agents are quiet, you know,

29:31 million. And then on either side ages get older, this pretty much

29:41 that assumption We had to make That for the big drainage basin,

29:45 coming up at the same rate because they're not. We've got some muscovite

29:49 that are four million. That means . And remember muscovite 400 degrees.

29:54 that means that they have come up 12 or 13 kilometers in just three

29:57 four million years. That's very whereas on either side, not so

30:04 . Um, but we also have sample right down here from the drainage

30:13 that, that samples all the the tribal ages. So we can do

30:19 couple of of things here, we calculate what's called an enrichment factor Where

30:24 gonna take a particular age range whatever range you want, say like 10

30:29 to 12 million. And we're going calculate the proportion of that age range

30:37 this to try to sample as shown , you know, we've got this

30:41 try to sample how much falls between this is 12-16 million that curve,

30:48 much, what proportion of that blue portion is this whole thing. That's

30:54 the dominator, the numerator and the of this of this quotient is the

31:02 sort of proportion. But how much we see of that age range in

31:08 bedrock math. And but if if , if the area of these two

31:15 were the same, then the proportion enrichment factor would be equal to

31:19 And that means that we'd have the in the, in the bedrock,

31:26 the distribution in the, in the , in the sand grades. Um

31:32 that helps. Um Okay, so where those things come from. Well

31:39 is a map of enrichment factor and see that we took the log of

31:44 enrichment factor because the enrichment factor actually quite a lot by taking the log

31:49 put the numbers back down But where , where the value is less than

31:54 . The enrichment factor is is excuse ? Where the log is greater than

31:59 , the enrichment factor is greater than and where the log is less than

32:03 so forth. And so what we here is the enrichment factor mimics very

32:09 the age math in that this zone here is represented much more in the

32:18 try to sample right down here. represented in the Detroit. It'll sample

32:23 more than it is represented in the of the attachment. Remember if

32:30 if all of these regions for every centimeter of this region was eroding at

32:34 same rate, we'd expect an enrichment to be one everywhere. But here

32:39 have a very different enrichment factor in middle which tells us that this fault

32:44 goes right through here is a place enhanced erosion. That place in the

32:50 ranges eroding much more than either place above it or below it or north

32:55 it or south of it. And can do that by comparing the bedrock

32:59 to the tribal data. Sometimes I've that sometimes you don't have the bedrock

33:05 to compare to and that's true. here we did. So we

33:10 Um And you can see that the of bedrock ages and the contours of

33:15 enrichment factor are pretty similar. Uh so again, by comparing that information

33:23 can really highlight. I mean there's fault here and it's not surprising that

33:27 are, you know, zones of and something going on. But by

33:31 the tribal data to the bedrock we can show that that fall has

33:35 been a focused point of erosion for long time, which then will lead

33:40 to all sorts of understanding about the history here. We have to come

33:45 with a structural story that squirts out from here but doesn't erode at high

33:50 or a low elevation. This is of moderate elevation. Um Okay,

33:58 more thing than about the Himalayas is one here? Um I I showed

34:07 the data earlier of the uh the and we talked a little bit about

34:11 , but this comes from um there's broader bunch of information that comes from

34:16 paper by sulks at all 2006. what they did was looked at a

34:23 of these symbolic sections in these in these different cola's uh the Karnali

34:29 , the samurai cola, the These are just little valleys that are

34:33 where they can look at this and collected samples and they did paleo Mag

34:38 this. So they know the age these things pretty well and then they

34:42 the dating of the Detroit. It'll lights and these are the results they

34:47 . And again, I'm plotting the age versus the deposition all age.

34:54 they they they made they made much the fact that in this diagram there

35:00 to be an increasing lag time. and indeed that's what we got doing

35:06 other way that that looks like that time that 16 million was a much

35:10 active time than than since then. it's unfortunate that they did it the

35:15 they did it because if you look these red numbers up here, that's

35:19 number of samples they analyzed in in each stratum. In some cases

35:25 analyzed as few as 13 grains. talked last time about how many you

35:31 need to feel good. 100 is better, right? 200 of course

35:35 better and 1000 is better, but is not good. Um And You

35:44 , even this one here with 40 , they are making a case that

35:49 here, there's an absence of grains . But you know, you always

35:54 to remember that the absence of evidence not the evidence of absence. And

35:58 when you've only analyzed 40 grains Um is the sample that that that they

36:04 is the distribution they have for these . You know, we're looking at

36:08 data in a different way. Here's age of of sedimentation, here's the

36:12 at about 12 million. And they saying, well that's excuse me,

36:18 the that's the lag time, But is equal to 40 here. Let's

36:24 back to this graph graph we saw . If N is equal to

36:28 that means the detection limit is is . We're we're we're likely to miss

36:36 that represents less than 12% of the . And so it's quite possible that

36:44 that's not here, It's not here we just didn't look hard. 12%

36:49 a pretty significant amount. Um And they measured in all of this study

36:57 grains. That's great. But I that should you ever want to embark

37:03 a study like this? Don't? and and we always have to remember

37:08 amount of that this big in here going to be a factor of time

37:12 money. These things, these things effort, They cost money, that's

37:17 . But if you have enough time money to measure 400 grains, don't

37:22 them out among 123456789, 10, different strata. Because then you end

37:30 with 13 grains there that are Well actually not so meaningless here and

37:34 we do have a grain right down . But these guys over here,

37:38 is the problem is this an increasing time or did we just not analyze

37:44 ? What if instead of analyzing these grains and these 13 grains and these

37:50 grains we took, we didn't you know, they analyzed strata every

37:56 million years or so. What if analyzed every two million years but had

38:02 each one of them 90 or 100 , then they would have much better

38:07 that if they saw a pattern like , it's probably real. So if

38:13 have enough money to analyze one analyze it, that's better than

38:18 But if you only have enough money analyze 100 grains, do it all

38:23 the same sample. If you have enough money to analyze 400 grains,

38:29 you don't want to split that up more about four or five samples because

38:32 you'll have four good samples instead of . Not very good samples. So

38:40 that's part of, you know, again, if all you have money

38:43 is is 40 samples. Well, great. Okay. Any questions about

38:52 that stuff to talk about provenance and in the product. All right,

39:01 gonna move on to another topic then dating the tribal minerals. And this

39:06 a big topic and a lot of nowadays. And it's using the dating

39:13 doctrinal minerals to tell us about the of deposition. And this comes about

39:20 um Well, why not just date rock itself? Well, plastic rocks

39:26 made up of pieces of older So we can't really date the rock

39:29 tell us about the rock itself. difficult. Um Chemical sedimentary rocks generally

39:35 sufficient concentrations of uranium. Fantastic. um the dating of the tribal

39:43 The disadvantages there's no true age, guarantee of the true age other ways

39:48 always better. But sometimes this is only way. But we talked about

39:53 in the beginning. What if we these two tribal strata? How are

39:56 going to figure out the age of or the age of one of

40:00 And you know, we've got the of superposition. We know one is

40:03 than the other one. That's a to start. Um But how many

40:07 ago was that? Well, remember A is to date inter bedded volcanic

40:12 . That's the best way we can volcanic rocks. Or even if we

40:15 find, you know, those volcanic right next to each other bam we've

40:19 we've got that thing sorted, but not always, that's always option.

40:24 maybe we're gonna use fossils. Um you know, Don has given you

40:29 bunch of lectures on how we can fossils and sometimes that's quite useful,

40:33 not always. Sometimes we'll have fossils are not uh particularly diagnostic. Sometimes

40:39 are. Um But what if neither of those options are there, maybe

40:44 have no inter bedded volcanic rocks and fossils you have aren't very helpful.

40:50 maybe you have no fossils because you're at strata which were deposited in a

40:54 energy environment, like a river and have good fossil preservation. If those

41:00 don't exist, you've got to go plan C. Some other alternative to

41:04 out how old these things are. you know, we've decided for some

41:08 on our geologic study that we wanted hold these sedimentary strata are That's a

41:12 problem. Right? Well, we have fossils and we don't have volcanic

41:16 . Plan C can take a variety approaches. You could do magneto strategic

41:22 . Um That's that works. That pretty well. If you have a

41:28 of layers that you can analyze, know, you gotta analyze 150 samples

41:34 . But if you've got a nice section that might work. You can

41:38 the orbital forcing where you look at Milan Covic cycles and look at variations

41:43 thickness and relate that to changes in in the the motion of the planets

41:49 been done to. But both of techniques involve many samples up and down

41:55 strata. Graphic column. But if all, you're interested in this one

41:59 , you don't want to collect a of them. You can just collect

42:01 sandstone and go to the plant. third version of Plan C. Which

42:05 to try to dating. Um And in that in that sample, you

42:11 , we've got we've got 11, simple thought that unit two must be

42:17 than the youngest grain observed, Okay, so um what has what

42:26 been done into tribal dating mostly is dating of Detroit als or cons.

42:32 has two reasons. One because tribal are quite common even in very mature

42:38 rocks, because they're so durable in sedimentary environment. Um They also are

42:45 likely to be disturbed by burial. mean, you know, closure temperature

42:51 so high that you're always going to looking uh back to the original

42:57 And one of the most influential papers this regard was the paper by these

43:02 guys at University of Arizona build their and George Garrel 9 2009. And

43:08 looked at a series of sand stones uh the Colorado plateau and adjacent areas

43:16 new Mexico and texas. And I these are all Mesozoic samples And they

43:24 zircons um around 100 maybe more. they analyzed zircons from these various

43:30 I believe there were 54 of And what we have here is plotted

43:35 comparison of the oldest end of the age that you know this,

43:41 this part of the of the uncertainty sigma uncertainty and the youngest end of

43:48 strata graphic age and the strata graphic in these samples either comes from well

43:53 fossils or from inter bedded volcanic rocks were dated by argon. Um And

43:59 you'll see is that on and this line is when those two things are

44:03 same and we never want to have that fall below that line because that

44:08 mean the zircon um existed before the was deposited. That's not right.

44:15 so we see that there's a good good news about this diagram is that

44:19 never really violate any of the rules . We never get floated down here

44:22 the forbidden cell. And you back in 2009 this was this was

44:27 a bit of news. And they at the conclusion of their paper,

44:31 said our analysis confirms the utility of the youngest uranium lead age for individual

44:37 zircon grains to constrain maximum times of . Our results are testament to the

44:43 , full record of the uranium lead preserved by the title Zircon grains.

44:49 sounds pretty good. And yet they stop there. They had another thing

44:55 did. They said, well we're to offer alternative ways in which to

45:00 the maximum deposition. They're going to this one technique that we've just

45:05 The youngest. Single grain seems pretty but they said, well what about

45:10 if what if we did some other ? They proposed several methods. The

45:15 most the two methods that become most in the literature since then are what

45:20 called Y C one sigma and Y two sigma. The first is the

45:26 cluster of grains that overlap by one and have at least two grains in

45:33 cluster. The other one is the young a cluster of at least three

45:39 that overlap in the two sigma uncertainty there's a bunch of others, people

45:45 have published other rules, other ideas how to do this. But I'm

45:50 going to concentrate on those two right now, just a spoiler alert,

45:57 not a big fan of this and I'm going to talk to you about

46:00 I don't think it's a good Um And let's start out with some

46:04 data and how you might approach This is some real data and you

46:09 see that there's a range in They're just they're just listed in rank

46:12 here. And the the problem from perspective of those clustering approaches is when

46:20 have one data out by itself, that one there it doesn't overlap at

46:25 sigma or one sigma, it's off itself. And so these techniques here

46:32 exclude that, great because it doesn't within the cluster. And so what

46:40 would do is say exclude that take the average of those grains,

46:44 us something like that, that would the and they would say then that

46:48 maximum de positional age for a sample this is not this youngest grain of

46:55 but the average of these four grains a significant difference. Um Now I

47:03 say that I cheated a little bit when I told you that these were

47:06 data, they are real data but units are not millions of years.

47:10 units are seconds and these are the of the data points And this is

47:17 picture of the date of where the was collected. These are the times

47:20 the 2009 World Championship 200 m sprint Berlin. And you see winning the

47:26 here is Usain bolt, famous sprinter he's winning the race by a whole

47:31 , right? But if we applied Y C two sigma three plus

47:38 if this was zircons, we, know, we would we would have

47:42 saying both disappear because their data approach these people have advocated is a top

47:48 itself can't be trusted. We'll look these other guys and I I would

47:53 would say that, you know, have to say what's going on because

47:55 purpose of these endeavors, whether it's whether it's a race around the track

48:01 whether it's a dating of zircons to the age of the sandstone. The

48:05 of these endeavors is to identify the that's the most important grade and by

48:11 by insisting that you average them. sometimes by insisting that you average and

48:17 you're not even just averaging grades You're throwing out the youngest one and

48:21 a few older ones. You're not what you need to do. So

48:28 an example. Excuse the double, , bit at the bottom. But

48:31 think you can read it. I'd that you saying Bolt would not approve

48:35 something like this. This is an of some data published by Schwartz at

48:39 . Now they didn't actually do but but their data is appropriate to

48:44 this is that you could take these , there's a one zircon out there

48:47 82 million and it's got a nice on it. But by the rules

48:53 clustering, Which a lot of papers that, you know, that's what

48:58 doing. You're gonna end up with with an age of 95.3 with a

49:04 worse uncertainty because some of these data not very good. But that's what

49:09 people feel more comfortable with these days saying that 95.3 is a better estimate

49:14 the age of the deposition than the , that's eight. No shoot me

49:19 million year difference By ignoring that one . Um So I have to say

49:26 would you do this? Because you , here's the here's the data.

49:29 you plot the youngest single grain from Dickinson and girls, you plot the

49:34 data with the Y C two sigma plus and you get a very different

49:40 course the data move up because you're going to be making things older this

49:44 if we take the difference of these techniques and subtract the one from the

49:49 , we get ages, sometimes Sometimes it doesn't matter very much because

49:53 got a bunch of brains right down together averaging a few won't matter.

49:57 sometimes you'll ignore that youngest one and average really old ones and the difference

50:01 be as much as 100 million years so, you know, two thirds

50:07 the time, the difference is more 10 million years. Um, the

50:12 point here is trying to figure out to do this. So why would

50:15 do this? Well, the reason some people would use any one of

50:19 other things instead of the youngest single . And people have argued that

50:24 these techniques are more conservative. They're precise, they're more statistically rigorous and

50:31 generally disquieted by the by the N one problem. Just having one an

50:38 . People don't like that. this paper by Jackson and all specifically

50:44 what they're worried about, They say of the numerous geologic factors such as

50:48 loss and laboratory contamination that may affect interpretation. A weighted mean average of

50:54 youngest population with an end value greater three is required to ensure precision.

51:01 , I think if you speak some with that sentence, you'll see it

51:03 pretty poorly written and that's probably because have a pretty poor sense of what

51:07 up to. Um, but basically , this, this expresses what a

51:14 of people have in mind when they're this. So let's look at some

51:17 these things in turn, people will this is more conservative and I suppose

51:23 is If you have these this is from Jackson at all. They have

51:27 sample here at 202 And then all other ones that go to the next

51:32 one is to 12 and they range 2-12 to 23. This is a

51:38 of data which all overlap at two . And so they took the

51:43 the weighted mean average of all of and they got this to 16.8 plus

51:47 minus 0.4. They argue that this more conservative and I suppose it is

51:54 conservative means we're not wrong ah but does it doesn't maximize conservatism. If

52:03 2 16 is conservative, 3 16 more conservative and 4 16 is more

52:08 than that. And you know, you want to maximize your conservative nous

52:12 have to just say, well it's than four billion right conservative is not

52:17 what we and I should point out there's nothing wrong with this point is

52:21 go to if we plot that on weather will diagram to give us a

52:24 of what kind of data it It plots right there on Concordia what

52:29 expect from a good analysis, there's wrong with that data except it exists

52:35 itself, but they threw it away of the rules that somebody put down

52:40 them. Um But you know, the the engineers of this bridge might

52:49 been more conservative if they evaluated the height that might go under it rather

52:54 the average height that might go You get this problem if you try

52:57 pay attention to the averages rather than extremes. Um and so, you

53:04 , just because saying something is more doesn't mean it's good because what,

53:08 know, we didn't, we didn't up in the morning to say I'm

53:10 maximize conservatism in my approach is now trying to understand something about the geologic

53:15 here. And so let us let do that, which increases the chance

53:21 maximizing geologic insight. And that's not saying, well, it's more

53:27 Other people are are are happy because way to mean will get things that's

53:32 precise. Imagine a uh bunch of here that are all plus or -10

53:39 might range from 100-95. Like The weighted mean of those of all

53:45 points here is 100 pleasure -3. just how weighted means. Workout.

53:50 another example and the weighted mean of goes down to so you're always going

53:55 put the weighted mean, the weighted helps in that regard. But this

53:59 the sample I showed earlier. Here's example of where the grain that was

54:05 actually has a better precision than the of the grains which are not

54:10 Uh So it doesn't always guarantee that gonna get more precise data. But

54:15 , once again and again this this here falls directly on the weather will

54:20 . It's a perfectly concordant point. nothing wrong with it acceptance by

54:25 Um And so You know, this million year difference is not worth

54:34 Uh Because and and and and even this case we didn't improve the

54:39 Um Here's a here's the paper from at all. They looked at a

54:44 of sand stones in into china Tibet those are the here are the ages

54:52 different um different strata all stone The age from about 1 92 to

54:58 here. And they took those data and and and basically did this is

55:05 in each case almost each case they a point here, this kind of

55:09 itself and they ignored it in each to get the average of these other

55:15 here. And so if you look the youngest grain, you start at

55:19 11 to 10 209208222 oh two. all kind of go up as you

55:24 up section. But if you ignore youngest ones and you look at the

55:29 is you get to 16 to 15 14 to 14 to 16. They're

55:34 about the same. And they made a fuss about that in their paper

55:38 saying, oh look the deposition, age of this entire strata graphic section

55:42 very close together. Well, all can say even by their approach is

55:47 in every case it's less than 16. All of these could be

55:51 be 100 right, it's just gonna less than 2, 16. But

55:55 we assume that, you know, gonna have some zircons near the age

55:58 deposition, you might say that makes . But then you've ignored all these

56:03 grains. So uh you know, don't think that that, you

56:08 this is a better diagram if you it, if you do it their

56:12 , you know, you've got these that are all the same. If

56:15 do it by the youngest single grain , you get you get a less

56:19 uh result, you get ages that younger at the top and older at

56:24 bottom instead of all the same. so what are we trying to maximize

56:32 ? You know, the precision goes the precision gets better. All these

56:36 plus -1. All those are most those are plus -3. Um And

56:44 here's another example, we talked about example earlier, I think we did

56:48 , we talked about this example where talking about the analyzing the uh the

56:54 model for the logo formation where you know, we have two basins

56:57 one basin but we can also use data to tell us about the age

57:02 the sandstone just straight away. And we look at the uh the victorian

57:09 , We say that the youngest grain is 57 And then there's a cluster

57:14 grains, but not until you get here to about 100. If you

57:18 to ignore, it's all by by itself. But if you were

57:23 ignore that grain, then you've learned from the zircons because we surely knew

57:28 grains were less than 90 million But you have that one great.

57:33 by itself but it's quite useful. so by paying attention to that

57:38 which is again a perfectly good Um you shouldn't have any problem.

57:43 again, precision or geologic insight, are we trying to do? Um

57:49 should also point out that this technique introduced. This statistical technique is interesting

57:54 you if we were to this is data, R I C P

57:58 S. Data and we talked about saturday that the I. C.

58:02 . M. S. Is fast cheap but it's the data are not

58:08 . If you analyze these same zircons Tim's instead of my eye. I

58:14 A PMS. And if if we that the central age doesn't change,

58:18 we change the precision, we move a bunch of data points that look

58:22 this. And with Tim's precision of the problem from the perspective of the

58:30 approaches. Now none of these days data overlap because the precision got so

58:35 good. And so I would argue a technique that falls apart when the

58:41 gets better, it's not really a technique. They've they've they've they've they've

58:45 this technique to be look good when data aren't good when the data become

58:50 good, this technique falls apart. just consider that. Now the other

58:57 that people argue for doing this way it's more statistically rigorous. I've tried

59:02 find, you know, some some measure of statistical rigor but there's no

59:07 thing. People just people just do and I like to think of you

59:11 what counts as statistically rigorous. Um may not know. But there was

59:17 A famous Supreme Court case in uh was uh Jacobellis versus Ohio 1964.

59:24 it's famous because this guy down here the left corner was named Potter Stewart

59:30 Potter Stewart wrote the opinion here was pornography, he said is this work

59:36 and they couldn't decide how to define . But Potter Stewart said well I

59:41 when I see it and that's what people are doing with statistical rigor,

59:45 don't they don't have a definition for , but they just assert that this

59:49 statistically rigorous and this is not and paper by Sigman at all really.

59:54 know, they think they know it they see it. They specifically say

59:58 is the order of statistical rigor, first the youngest single grain that's a

60:03 you can do but it's not as as the weighted mean of within one

60:08 of at least two grains or the the even better would be Y C

60:13 sigma three plus the most rigorous because got more grains I guess. But

60:21 the extent to which they justified this this declaration of rigor. But if

60:28 look too, if you talk to mathematicians and not geologists, they'll tell

60:31 that there are some fundamental things about average. We need to keep in

60:36 first of all that the mean is S. The mean of of data

60:41 an estimation of some true value. that averaging helps to eliminate the noise

60:47 the data to better see this true . And logically this this would form

60:52 kind of statement that if A. B. If the mean is an

60:57 of trump value then yes the averaging to eliminate noise in the data to

61:01 see the true value. But it logically follows that if not A.

61:06 not be if the mean is not estimation of some true value then averaging

61:10 doesn't doesn't gather doesn't make you things . You have to start with an

61:15 that the mean is the estimation of true value and the mean is only

61:19 estimation of some true value. If you are sampling from the same

61:24 the zircons or the appetites of the is whatever you're looking at have to

61:29 come from the same rock. They come from the same rock and it's

61:32 it's not an estimation of some true . It's just an estimation of different

61:37 . Take for example, these there's some numbers that have some

61:42 We could then, you know, that it's statistically rigorous to get the

61:46 average. There's a weighted average, a better number than those three by

61:50 I suppose. But maybe you don't that's true when I tell you that

61:56 numbers are the number of Electoral College the republicans got in the 20th

62:01 the number of strikeouts Nolan Ryan had year in his baseball career or the

62:05 of calories in in Kellogg cereal. can take the average of those

62:11 but clearly nobody's gonna make anything of because they're different things. And

62:16 um, if not a then not because these because if the numbers don't

62:22 from the same place, then averaging make the noise go away. It

62:27 makes it worse in the sense that end up thinking there's something there,

62:30 you're averaging something that never, you know, that's not a

62:35 And so here's a great example. guys junkin and gans, they went

62:39 further than some of these other They didn't they didn't have anything to

62:43 . They just said, well, analyzed a bunch of grains in this

62:48 and we've decided to say that the maximum de positional age we're going to

62:55 as the average of all the grains age is less than 200 million.

63:00 was their rule. And they could said 190 million or 300 million they

63:05 , they picked 200 took the But the youngest great. And they

63:10 an age, an average of But the youngest grain is off here

63:14 159 and that's a 14 million year . And of these grains here that

63:21 averaged Magmatic systems don't exist for 14 years. These can't be zircons that

63:30 came from the same thing, same . So they're violating that idea that

63:36 is good if you're looking at the population, but they're not the same

63:40 . This this this uh average is meaningful. So it's a, you

63:47 , it's a, it's a there's, you know, it makes

63:50 thing, something happened at 165, this is just an average of things

63:54 happened to be sitting in the same together. Um One more example

63:59 of questionable choice of this sort of came from a study of some rocks

64:05 Wales and these were sand stones again they analyzed the zircons on the

64:11 We see the data without the uncertainties the right, we see the data

64:14 the uncertainties and they decided to these all these are all the tribal

64:20 Zircons from sandstone. But they did , they decided to treat them as

64:25 they came from one igneous rock. they plotted a discord a line which

64:33 an intercept of uh 537 million Based 110 of their subset of 140 from

64:44 . I should point out that their 142 zircons ranged from 477 all the

64:49 up to 2500. So clearly some these grains didn't come from the same

64:54 , but they have treated 110 of as if they did and they got

65:01 value there. Now it's it's interesting point out that this uh this was

65:08 to be a Cambrian rock, but all of those grains that plot down

65:15 on the other side of that red , they have ages which are less

65:20 the apparent boundary between the Cambrian and division. So either, You

65:28 we either have to treat all of grains as if they came from a

65:31 537 million year old rock, even they're sandstone. But another option would

65:37 that. Well, you take a at these guys, these guys are

65:41 . This is the deposition alleges the , but that requires you to revise

65:45 paleontology because that would require this rock be coordination Because those rocks, those

65:51 are 488 million 488 was not in Cambrian. Okay, so when we

66:02 at these Igneous sir, cons like are shown here, it's perfectly good

66:07 average them together. And that's what did for that study I showed you

66:11 week where we looked at the Royal figured out how the age of the

66:14 was average away. They all came Mariah Light, which has an understandable

66:20 . But when you have zircons that from sand stones and these are the

66:24 are guns, look how nice and they are, you don't have the

66:28 luxury to say, well just average because you know, they're, they're

66:31 zircons and they're all in the That's not enough. That doesn't make

66:37 the same. And because they could come from anywhere, this, you

66:42 , like we could get a sample texas that could have come from north

66:47 and the fact that this grain could come from one part of north America

66:51 this grain from another part of and so, oh, and it

66:59 also the case that, you sometimes people do this as we've

67:02 sometimes do this to try to stuff do both of these at the same

67:05 . They want to understand the paleo , the description of the provenance.

67:09 know, you know that there's an peak here that tells us that we're

67:13 grains from, from Wyoming. That's . But then they also try to

67:17 the maximum deposition at the same time that's fine. That's fine to do

67:20 of them. But it's not fine apply different foundations to the data.

67:26 you're doing the provenance stuff, you they came from different places and you

67:33 them that way. You never would look at the distribution like this and

67:36 would never say that's a variety of . We're not going to average them

67:41 . But when we're going to look the grades down here at the

67:45 we're gonna say this one here, a single source. And we can

67:48 averaging to get well, when do , when you make that transition

67:51 Clearly it's a single source too. it's a variety of sources. You

67:55 , that's not a statistically rigorous thing do. That's just making stuff up

67:59 you go along. Um Now here's example of where it really wasn't statistically

68:07 . They had these samples from china think. And they these are the

68:11 , these samples here. There's one and there's six here and then this

68:15 the, this is the way to . But these zircons had something that

68:19 done. Sometimes you can measure other geochemistry and zircon when you're measuring the

68:25 and sometimes they measure half the um and this epsilon half name is just

68:30 measure of the variety of athenaeum isotopes happening. Isotopes are another way of

68:36 crustal history of these zircons when things different half the um isotope compositions,

68:41 probably came from different ages of And so what we have here are

68:49 the um isotopes that vary from minus to plus 15. And I know

68:53 haven't discussed half the m isotopes, just let me tell you that's a

68:57 big range. That's not the same chamber. There's no way one magma

69:02 is gonna producer cons that have a the isotope of minus 20 and also

69:07 10. But they looked at these and they said well but they have

69:11 the same age. So let's just them together. But clearly they had

69:17 their own paper, they had demonstration these things have very different geochemistry.

69:22 know, here's an example where we demonstrate that the assumption that some other

69:27 make is truly false. In the case, we just have to say

69:30 an assumption that's unproven. Here's an which has been falsified. Um Getting

69:38 to this, this discussion by Jackson all. They're very worried about lead

69:42 and laboratory contamination. This all gets to the N equals one problem.

69:46 some people just take this quiet about to deal with one sample. That's

69:51 right? One is not as good two but and we have to keep

69:57 mind that in this example one is what we're after. The whole point

70:02 this endeavor is what are the extremes that means looking at the grains one

70:05 a time. Um Some people you know, they say well the

70:11 is is that with the reason we to add to average things together is

70:18 grains come from what might be, know, when you analyze something you're

70:23 to get some theoretical distribution of a curve, right? That's that's

70:28 And and if we had access to arai light, you know they all

70:32 grains wouldn't be exactly the same. be a range that's that's that's

70:38 And some so some people are worried what if that unequal one that we

70:42 at turned out to not be in troop near the true age. But

70:45 here like this. Well by definition of your distribution falls more than two

70:52 minus two sigma away from your your . And so people worry that as

70:57 push that down away from it, going to start interacting with you know

71:01 getting a problem with the age of the deposition. Well that's that's a

71:07 . And so that means that one of 40 times you'll you'll get,

71:11 get this out over here in that business. And here's some real

71:16 This is a riot a site in which was analyzed by Argon 4039 dating

71:22 Macintosh in Ferguson 1988. I I think 36 grains and they got

71:27 range in ages. And that if if you believe that it's a system

71:31 which you can average and it probably you get this average here in the

71:35 . But if you take the youngest of that, that's shown here in

71:40 , it's still overlaps with this. it's not, it doesn't overlap a

71:44 , but it's not. If this the actual deposition, all age of

71:47 sample, this was still overlap with . Um and we can think of

71:54 problem a little bit like this, that, you know, what are

71:56 worried about? We're worried about getting wrong. And so imagine we have

72:02 age of a deposition or rock sedimentary and an age of a volcanic rock

72:07 is shedding material into that sandstone. we have a situation like this where

72:13 green dot represents green dotted line represents deposition age of the sedimentary rock that

72:18 sampling, the volcanic rock is just little bit older. It's a

72:24 small problem. If that one out 40 times we would analyze in this

72:31 here and we would get an That's just a wee bit younger than

72:35 age of the sedimentary rock. Probably so much younger that it wouldn't overlap

72:40 uncertainty. But you could call that very small problem. Um This,

72:48 , will never be a problem as as this thing is a little bit

72:52 . You really like the idea of from this blue portion of the,

72:58 the Gaussian curve. That's the best to analyze it because it's pushing your

73:04 of mexican deposition further down. We want to analyze a 10 billion year

73:09 zircon every time. That doesn't tell anything we want to analyze the

73:13 that's right up next to it. this in equal one problem, they

73:17 , well what if it's what if two sigma outlier that's terrific. As

73:21 as it doesn't, as long as don't have this this issue,

73:25 That would be kind of. But have to keep in mind that we

73:31 chosen Plan C here, we didn't any fossils in this rock, we

73:36 have an inter bedded volcanic rock. when you when you're when you're,

73:40 you're embarking on Plan C, you to remember that sometimes there's going to

73:43 a price you have to pay. the price you have to say is

73:46 , Yeah, but this this all prices only paid here if you have

73:50 volcanic rock, which is the source the sediment that is just very,

73:56 close in age to the time it's erupted and then it's, it's eroded

74:02 that the difference between these two is small. Um, and and,

74:09 this will never be a problem if source that we're talking about is a

74:16 metamorphic or sedimentary rock, it's it's only going to trouble us if

74:21 have a volcanic rock which was erupted because if it's a plutonic metamorphic or

74:27 rock, there are always going to enough time. But these things have

74:30 be that seems to be brought up the surface and that's always going to

74:34 us lots of time to be. a difference between the age of this

74:37 and the age of the sedimentary The only time we have to worry

74:40 is if we made this igneous rock the surface of the rock on the

74:44 of the earth yesterday. So I a problem here. Uh, what

74:53 I do? I said that So yeah, worrying about the unequal

74:58 problem is not worth it. If end up changing the maximum deposition of

75:03 from 84 to 95. That seems me just not maximizing geologic understanding.

75:12 then these guys also say, but what about loss of daughters or

75:16 of, you know, loss of or yeah, loss of daughters in

75:20 in the case of lead loss, , it's a bit of an

75:24 And as I quoted these guys before Reiners at all said, you

75:27 the greatest advances in the accuracy of led geo chronology has not come from

75:32 LED Los, but instead of learning to avoid it. And so these

75:37 represent lead loss or inheritance or it's to know. It's hard to

75:43 Um but for assignment of maximum de ages, we don't care unless the

75:51 loss occurred after the deposition in the . Take a take a look at

75:55 distribution here. Now there's a distribution and most people wouldn't give that distribution

76:01 thought. But but to this one them pause because we got some data

76:06 there by themselves. And they well, what about lead loss?

76:09 would have made it younger. that's a problem. Well, only

76:15 that led loss occurred after the age deposition. If it occurred before the

76:20 of deposition were happy. Because once , it's pushing the estimate even

76:26 The only time we worry about it when the age of deposition is

76:31 And and that led loss puts it the to the unhappy zone. But

76:36 only gonna happen if you disturb your . And if we're looking at uranium

76:42 , injure cons they love Zircons because don't get messed up. This is

76:47 unlikely if you're looking at an unmet , beautiful little sandstone when you see

76:52 off by itself. It's probably not it's less than the age of

76:56 it's just off by itself. And , and then the final thing about

77:00 loss and contamination is all right. you say that guy's been subject to

77:06 loss. Okay, well then we're get rid of it. What about

77:14 one? Now, it's off by . Well, blood loss and before

77:18 know it, you can apply that every single sample once you, once

77:23 quality question, a process that could worked on the youngest one. Why

77:27 you trust in the other ones? the same thing goes with,

77:32 and then you can you can do same thing for argon loss.

77:36 is a little bit. Well, the same thing for our gun

77:39 I'll just say, and then people about contamination, contamination is not a

77:44 problem. It's a laboratory problem. is when you mix your samples

77:48 don't do that. Of course. . You gotta be careful, clean

77:52 out when you're doing when you're doing . But if you, you

77:54 people have had contaminated samples before. contamination is the same problem. If

78:00 if you say, well, that's by itself because contamination, well,

78:06 , that grain is bad. But not that great, Why not?

78:11 you have evidence of contamination. I'm , but all that work that went

78:15 your sample, you gotta throw the thing away because contamination is not something

78:19 just happens to the youngest grain. when we worry about lead loss,

78:26 N1 contamination, all of these Um, the data from this paper

78:32 Dickinson and Garrels go back to the and look at, it doesn't seem

78:36 be a problem. The data pretty plot either on the line or above

78:40 . So after going through all that averaging always bad. Well,

78:46 but you can average stuff, but if it's clear the data came from

78:49 same population. If you're looking at and breakfast cereal, it's probably not

78:55 it to average things together. Um zircons, we have ways of testing

79:00 they have similarities. You could look the halftime isotopes or the fishing track

79:04 or the helium age. You could at the other geochemistry, like the

79:08 thorium ratio, the rare earth element , the shape of the zircon called

79:13 coupon typology in argon dating. You've other things we can look at that

79:18 us about the chemistry of these And if these things match up in

79:22 way, you might want to well they're the same, they're close

79:25 the same age and they have these characteristics that make them likely to be

79:30 together. Um And back in the 19 eighties, there was all this

79:37 about this thing called the plateau age argon data mentioned, but people stopped

79:42 attention to it because they realize that a lot of information in plateau information

79:47 variable age spectrum. Um and so , you know, you can look

79:51 the age spectrum like that and say got no plateau or you can say

79:55 has valuable information and I won't bother that second diagram. But um you

80:00 , the the thing to remember is this is Plan C. But don't

80:05 too upset about it. It's what have to deal with. And that

80:09 people, whether it's plateau ages or ages in in sand stones, people

80:17 comfort in rules, they've been told follow a rule, but a rule

80:21 not a substitute for thinking If you've this rule that says throw away your

80:26 grain and make your maximum de positional 50 million years, older. is

80:31 really a good rule? Now, rules are not constants of nature,

80:36 ideas from people. And so when see a situation like this, you

80:42 , your your I should naturally be to the winner of the race,

80:46 this cluster of things way back And the same thing should be true

80:49 zircons. Okay, one more thing can do in looking at sedimentary

80:55 then we'll take a break and then go to look at things more

80:58 Our last reason to look at the of sedimentary rocks is to look at

81:05 post deposition all thermal history of a . And remember if we're looking at

81:11 post deposition of thermal history, we're gonna be able to do these other

81:15 , because post deposition and thermal history that we have disturbed the signal

81:21 Whatever system we're looking at because of heating of the basis. Now we

81:29 look at, we can look at paleo geography. If we look at

81:32 lead zircon and we look at post , all thermal history. If we

81:36 at uranium, uh helium con, are two systems. But in

81:41 but in one system we can do or the other. We can't do

81:45 . Um And so again, advantages disadvantages. Well, of course,

81:51 we got a lot of different thermo is available to us and then we

81:55 pick the right one and we can , we can understand how hot things

82:00 , we can understand when they got . We may wish to add that

82:03 the organic methods of understanding basin evolution as victor night reflected for these organic

82:10 . Uh those those methods tell us little bit about peak temperature, but

82:15 don't tell us when this disadvantage is course, if we're doing any of

82:20 , we lose information about the but that's just, you know,

82:23 not our fault. Um And you know, these these sorts of

82:29 are made for sedimentary basins. Looking the history of the, of the

82:34 versus time. And and and then top of these, on top of

82:38 things may add maybe added a Uh Yes. Oh, jeez,

82:48 , thank you. Well, you what if that's Yeah, you're

82:55 We're at 10%. So maybe it's for us. This is this is

83:00 good place to stop. I'll go to my office and get my power

83:04 and then we'll we'll fix up. , thanks for mentioning that.

83:09 so we'll take a break now. I'm gonna stop sharing and they'll stop

83:18 recording. Okay, We're ready to again. Thanks. Very good.

83:28 , back to sharing our screen. I'm gonna start over. I'm gonna

84:23 Thank you. Very good. Um we were here talking about green is

84:35 and so we'll have to start Stop sharing, share again. Where

84:42 it? Oh, there we Okay, good. Doesn't move.

85:29 , it doesn't. Okay, so can you can you can see that

86:56 . Right, okay, let's see happens when I go to slide

87:02 Good. Okay, okay, so up. Still working. Okay,

87:45 we are interested in the post all thermal history, you know,

87:52 example, did the basin get hot to produce hydrocarbons? Um So,

87:59 want to make a model. This model. Um you know, would

88:03 just assume a a temperature based on static geothermal gradient question. Okay.

88:13 but you could do better about that by taking, you know, modeling

88:17 certain approaches. For example, here's a modeling of some fishing tracks

88:23 appetites and it tells us that this , these various samples were at about

88:29 degrees here at about 60 million, . All of these are getting to

88:36 degrees about 60 million years. The before 60 million. It's fair,

88:41 unconstrained because we're only really good at what happened to the sample since it's

88:46 at 100 degrees. But all of fishing track modeling and remember that,

88:51 is an approach that takes it and into account the number of fission tracks

88:56 their links. The distribution of Do we have all old long ones

89:00 there are long ones and short And this modeling then I would say

89:04 we were at 100 degrees 60 million ago and we cooled pretty rapidly ever

89:09 . That's, you know, that then be used to put into whatever

89:12 whatever basic model you wanted to sort . Um suppose you had um a

89:22 exposure of of some sample and you , that they went down and came

89:27 up, but, you know, was the geothermal gradient? Was it

89:32 high or very low? If it's high, we got two temperatures,

89:34 know, of 300 degrees, if was very low we got to temperatures

89:39 only 100 degrees. So not knowing geothermal gradient, then, you

89:44 doesn't tell, you know, the graffiti tells us that this sample got

89:47 than this one, but how much if you don't know the geothermal

89:51 you know, you're going to be off. Um and so you may

89:55 to try and and sort that out seeing which of your samples were reset

90:00 various, you know, various if have appetite helium, for example,

90:05 a geothermal gradient was 15 to 25 expect appetite helium to be in this

90:10 . An appetite fishing track to be this range, cooling versus depth.

90:15 cooling age versus depth would be a different group of samples if the geothermal

90:20 was 25 to 35. So by at some samples that are constrained in

90:27 their strata graphic location, you can model what the evolving geothermal gradient was

90:32 that's a huge, huge information to you because because often in talking about

90:40 models, perhaps the most important parameter can come up with is t max

90:46 was the maximum temperature of the basin ? The next, The next thing

90:50 want to know was, how long it experience that maximum temperature? Um

90:56 an understanding of geothermal gradient, strategic is not going to take you

91:01 Um Here's an example of how you be able to uh sort that out

91:06 argon. This comes from the uh basin and We have four feldspar is

91:17 look at here, they're all single fell spars and they've all been analyzed

91:22 the Argon 40 39 technique. Some these felt sparks come from this well

91:27 others from this well. And the between these two wells is their depth

91:31 , 10,001 is 13,000 and the 10,000 well was producing liquid hydrocarbon, Whereas

91:39 13,000 ft well was producing dry So a different hydrocarbon dry gasses a

91:46 thing, liquid oil is a lower thing. And what we have here

91:50 the age spectrum for these individual felt , the de positional age of the

91:57 in which these felt sparks were obtained and here at the boundary between the

92:04 and the pink. And you can that for these samples from wells that

92:10 producing liquid oil, the age Spectra to be just the kind of age

92:16 you'd get from a slowly cooled rock had an age of about a billion

92:21 and then was brought to the surface then deposited in this uh, devonian

92:27 , you know, as it's shown . But then that sample was never

92:32 . You see the apparent ages of of these steps are older than the

92:37 will age here, which is But compare that to the ages of

92:44 samples that come from the dry gas area. Dry gas means hotter.

92:51 clearly it was hotter because these they're both, they're all case else

92:55 . These two K sells cars have spectra that indicate that they were reheated

93:00 deposition because we're getting apparent ages that down there in the Mesozoic, not

93:05 the early paleozoic when the rock was . So this is a sort of

93:13 we were in a frontier area and didn't know that there was oil or

93:16 here. You would, you would at a sample like this and

93:20 aha, this area got pretty hot it is disturbed the argon obviously you

93:25 need to disturb the argon to make . This sample shows it, but

93:30 you and that might be fine, , maybe that's what you want to

93:34 are gone. Data from, from all fell spars that have all their

93:38 older than de positional age. That say oil is a possibility if you

93:43 getting gauges that are younger than the . All age best you could probably

93:47 for is gas. If if if and and of course if this age

93:52 , You know, this age spectrum a lot of gas that's older than

93:55 deposition allayed. But if you got age spectrum that was down here at

93:59 40 million, that would indicate that sample, the sample got really hot

94:05 and that's bad for oil. So checking and again, this is just

94:10 belts bars, they have a very closure temperature if you wanted to do

94:13 same sort of analysis for appetite fishing . You'd have, you know these

94:18 are probably completely reset from appetite fishing but not completely reset for our

94:27 That's the end of my Detroit. there's dating discussion. So that was

94:35 lot of detritus dating. Any questions to mute? You have to ask

94:47 I'm asking you? Oh, never . Um So no questions. Okay

94:54 then I think since we just had little break we'll we'll go on to

95:01 my my exercises, they're not So let's go change area exercises.

95:29 I email you the exercises? I that's fine. I want you to

95:33 through them with me. 1st share please share screen uh exercises.

95:55 Is that working now? You see ? Okay. Good. Alright so

96:00 have 20 different questions here. Are are you just moving the slides Because

96:06 only see the home page of I don't see the presentation.

96:10 so it's not working. Thank you benching that we're gonna start over.

96:19 let's try this again. Let's uh that here, scare screen exercises.

96:32 you see it now? Okay, can you see it move?

96:38 Okay great. So I've got a of little questions here about data.

96:45 me based on these two age spectra you know what you're what you're gonna

96:52 in here are some some ice a data of some sort and some geologic

96:58 . Sometimes the only geologic information might the kind of rock, but that's

97:03 . So interpret the history of this light. What can we say about

97:08 rye light that has these data? are the why are the by typing

97:32 case? Bar a specter different Well, they do have different closure

97:40 . But but but for a real , what would we expect them to

97:48 ? No, no, no. don't care for a wry light.

97:53 doesn't matter what the closure temperature Right? Because remember Riley lights or

97:57 rocks, they should always they should the same age, no matter what

98:01 closure temperature. I could say fishing . I could say uh uranium lead

98:08 lights cool rapidly. You know, go from a magnet on the surface

98:13 the earth in a day. It matter what system we use to date

98:19 . We should get the same Why are we not getting the same

98:44 ? What about you off there in cyber cyber world? Can you tell

98:49 why they're different? Probably not. you gonna do you have a good

99:10 ? Start of the closure temperatures It has something to do.

99:15 let's, let's, let's start What are the two closure temperatures in

99:19 in in in play here we're talking this is an argon diagram.

99:30 okay. Yeah. 302 100 Something like that. 39 or

99:38 Well, don't that is not that that that that that was just one

99:42 of one part of one feldspar. we can think in general that this

99:48 ranges from probably 2 50 to 1 something like that. But if that's

99:55 case, why aren't these? And is a highlight reel lights ought to

99:58 a very simple history. This is that maybe it's not so simple.

100:04 are they different? Yes, this these these these two minerals are from

100:15 same, same rock, same specimen? If this was a

100:27 would it be any, would would be any potential problem? I

100:32 this is telling us that the by clothes temperatures 300°. That means this rock

100:37 at 300°90 million years ago. But the closure temperature of case bar is

100:42 to 1 50 this says that 30 years later, it was at 100

100:46 50 degrees. How do we explain ? 30 million year difference? This

100:50 a highlight. They're supposed to cool an afternoon. Did this rock take

100:57 million years to cool? What's the option? The other option is that

101:12 reheated something happened to the rock to these two things. Not the

101:18 When did that reheating take place? , that's the first event, I

101:26 to know when the second reheating event place. The weathering Russian.

101:35 there might have been erosion, but importantly, there was probably burial or

101:38 an intrusion nearby. Something had to heat erosion doesn't add heat erosion would

101:43 the rocks off. So we have come up a reason to get this

101:47 hotter because this rock cooled down the it was erupted. Right, a

101:54 weeks after this realistic eruption, this is surface temperature. But yet these

102:00 , these these minerals are different. only that means that there's been a

102:04 in the system. The best way disturb it is to heat it

102:07 How do we heat rocks up But again, inside the burial is

102:14 way another way was to bring up igneous intrusion next door. Right,

102:17 either have you have the our burial you have contact metamorphose. Let's just

102:23 burial, simple burial. Can we when the maximum burial was, There's

102:30 60, right? That's the youngest down here. We know that this

102:34 was still at 150°60 million years And we know that it was probably

102:41 this reheating event probably didn't exceed 300° the by type. And the case

102:48 would have the same age here. we can say that this real

102:52 We know it's a real light. that means that you have a simple

102:55 . It doesn't these ages are This tells us this area has been

103:01 . If this was a real that was, you know, in

103:04 interesting sedimentary basin, that would be way to tell because you know,

103:10 just this is a simple test of of the model that the basin never

103:15 hot. This basin, if this a basin, it got hot,

103:20 got over 100 degrees hot because that's you got the case bar to

103:24 you know, now I'm sort of that the bio tied hasn't been,

103:29 been disturbed, that this eruption occurred million years ago. That's a good

103:35 , but it's not guaranteed. How we test that assumption? I'm saying

103:39 is a bright light. It got , it got erupted 90 million years

103:43 . It got buried such that 60 years ago. It got re heated

103:47 to about 100 or 200° How could , how could I be sure that

103:51 bright light was actually erupted 90 million ago? That's 100. Well,

104:04 keep it. Just look at this here. What else can we do

104:08 this rock? We just dated. talked about how many different dating

104:18 12 of them. There's two of . Can you think of another

104:22 We might want to do that would helpful. You're just all over the

104:37 , uranium lead in what kind of ? Yeah, in the right

104:42 Not in a theatrical value in the light itself. If we did uranium

104:46 on Zircon, that's gonna be the age of eruption. Right? You

104:52 have to worry about reheating. So we dated. So if if I

104:57 say this rock is a was a that was erupted 90 million years

105:01 What does that if I'm right, does your uranium lead zircon value

105:09 Know how many million years, It be 90 because that those two things

105:21 be the same. And the reheating has only affected the case from the

105:26 was sufficient to remove argon from the bar but not bother these other

105:32 And so we could say that the basin was buried to temperatures above

105:37 but below 250. And then you put that into your geologic model because

105:45 a really light. We've got we've got those assumptions that everything should

105:49 the same when it's not the that that gets interesting. They got

105:57 questions from you back there, you ? Okay, Yeah, you

106:06 You do have a question or no . Okay, good. Let's move

106:12 to number two. Here we have bunch of data from a granite.

106:17 want you to tell me about the history of this mountain range that it's

106:24 in. What's, what can we about it. Okay, let's go

106:38 and be bold and put a geologic associated with that. What what thing

106:43 then? Yeah. Well, I mean, what do you mean

106:54 ? Has it magma moving around? , the Magma could have been there

106:58 125. But the Zircon was created . Right? So I'm trying to

107:03 you to say that that was the of crystallization. Probably the whole

107:10 Why then? Is the horn blend a little bit younger? Different closure

107:17 . What's the closure temperature? So it took about three million years

107:23 this rock to go from 7 50 500. That's a lot of temperature

107:29 not a lot of time. What that tell us? But then it

107:34 a long time. Another 42 million to cool down to whatever that closure

107:40 is. Argon in bio tight. what temperature 200 300. 300.

107:51 how can we explain the fact that cooled pretty rapidly from 700 to 500

107:56 rather slowly from 500 to 300. cooled pretty slowly because of the veteran

108:12 the process of the what of the process? Just you mentioned the

108:19 Okay, so the erosion was slow ? Yeah but why did it cool

108:25 from 1 25 to 1 22. that fast erosion? I would say

108:34 probably wasn't fast erosion. This is example what we're talking about. Is

108:37 because we can we can say that granite was intruded at a depth that

108:42 temperature was less than 500 but more 300. Because it took a long

108:47 to get to 300. But it it took a relatively short time to

108:51 to 500. So it's probably intruded a depth of temperature four or 500°,

108:57 not shallow, because otherwise all three those ages would be the same.

109:02 of these. And look the bio and the fishing track and the helium

109:06 almost all the same. This is separate event over here. When we

109:11 that the bio tight and the fishing appetite and the uranium helium appetite are

109:16 the same. What does that This is the erosion you were talking

109:19 ? Right. We see an acceleration erosion from in the cretaceous here in

109:27 late cretaceous. In the early this rock was intruded, but in

109:32 lake rotations here, It experienced rapid and rapid cooling, which we can

109:39 to mean rapid erosion. Perhaps perhaps deposition in some basic if we're

109:45 to look for a complimentary base into mountain that this rock was found

109:49 We would look for ages of sediments 75 million or 70, something like

109:59 . Okay, move on to number . If there's no questions, it's

110:04 time. Is it three o'clock. in pretty good shape. All

110:09 This is a much simpler question. how would you interpret this diagram?

110:24 have a bunch of discordant points. is a granite. There are

110:35 Tell me how old the granite What do we do with dessert

110:55 with discordant points like this? Sometimes a line through them. Right.

111:04 line? What what does this line to you? Draw a line that

111:10 of went through here. Right. old is this granite? Well,

111:29 , Can you do better than Probably around About 4 40, something

111:34 that. Right. So I would the line through here. Upper intercept

111:40 going to be here around 4 44 something like that. This and

111:44 And I'm going to say that's the intercept is the age of crystallization because

111:48 the points are up here closer to . Hey, you know this,

111:52 , this, this actually looks like might have a negative age of lower

111:57 . We can ignore that doesn't So that's all I want to get

112:01 that diagram as we look at the values to draw a line for

112:05 Now, if I told you something about the geologic environment, you might

112:11 able to make a more nuanced But without me telling you what kind

112:16 rocks it's around as it is in contact is an in fault. Contact

112:21 an intrusive contact. Maybe that would the story. But in this

112:26 I would say that this means that rocks about 4 50 suppose we have

112:37 another rye a light here and we've a bunch of single crystal sanity ages

112:43 this rock? And we get all these points here? Why explain what's

112:51 age of this rye light and what uh what are the, what are

112:57 other, what's the whole distribution telling again, we would be looking at

113:08 Royal Light to data to understand to a chrono strata graphic marker in our

113:13 sequence. This might be our best to know the age of these sand

113:18 that don't have fossils in them. at this, what do you suppose

113:23 ages 32, maybe 32.5 ish, like that. What's, what's going

113:34 with these guys? It's 40 and and 50. Why are they

113:39 Why are you you seem to be them in determining the age. Um

113:49 have a geologic explanation for their Shouldn't a riled Light all give the

113:56 answer, but it doesn't what's going ? It isn't uplifted uplift. I

114:09 know what you mean, Like maybe the 40 and 44 um due to

114:17 anyone comic activity. Did it come the surface or something? Okay,

114:24 , I think probably, I mean want to think about these are all

114:27 in one rock. This is this a this is a volcanic rock.

114:30 not talking about a sandstone here. . So we're all looking at the

114:35 the products of a single eruption? not discuss that in terms of different

114:41 Or are you, are you saying these are from some older eruption?

114:48 did they get in this in this rock? I think you're on the

114:54 track, but we're just looking at single rock here. How does it

114:59 components of an older eruption? This back to the nature of explosive volcanism

115:09 . This wouldn't be found in a , but it might be found in

115:12 big eruption. Big blow up These are the pieces that might have

115:19 incorporated during that eruption that fell in the older rocks and the reason that

115:25 , and and because of that this is why we date these,

115:30 rye lights, wanted to top one at a time so that we can

115:35 these, these oddballs, these any , because if we have analyzed all

115:39 these grains at a time, we have gotten 32 a half, we

115:42 have gotten 33 or 34 not known difference, but having a 50 out

115:48 is gonna make a difference. Just one of those in and the whole

115:51 shifts a little bit and this thing being 32.5 and starts being 33.1 and

115:56 never know. Okay, um let's come back to that granite when

116:21 got too many igneous rocks for I want to talk about?

116:26 let's talk about this one. This good for now. I'm showing you

116:34 of ages. Let's say we have lot of ages, maybe 100 different

116:37 that have been analyzed and we have distribution of appetite. Fishing track ages

116:44 zircon uranium lead ages. And I you to give me three different interpretations

116:50 this one. If the sandstone if deposition will age is Eocene one of

116:58 Miocene and one of its unknown. with the thought that this is an

117:08 rock. When is when is the ? In millions of years? You

117:15 know you guys have been drilled in ? You know the answer to

117:21 Yes it would be between 55 and . So if this is an Eocene

117:33 explain the distribution of these two The fishing drugs of the appetite are

117:57 how decrease they're what the fission tracks the appetite are going a downfall in

118:04 region. Yes, I mean the . What I mean? I'm not

118:08 sure what I mean. The slope slope you mean that that there's a

118:15 narrow range of gray of ages? that's true. But that that's going

118:21 be true in all of these Why does it what does it matter

118:24 the rock is Eocene Miocene. What what how does that change our interpretation

118:30 the history? This is an Eocene , what does the appetite fishing track

118:35 tell us if the if the rock E. S. C. Let's

118:38 say let's let me let me not me not try and confuse you with

118:43 . What if I say the deposition age of this rock is 40 million

118:52 . What does that tell us about history of this rock? That

119:04 Okay, so how did how did happen? The rocks get hotter because

119:14 erosion cooling down but it's a I mean sand stones originated the

119:31 So we got a 40 million year sandstone with 80 million year old zircon

119:36 , lad and 20 million year old fishing track. Why? Why are

119:42 group of age is older than the and one group of age is younger

119:46 the deposition. This is the I didn't hear something dyke, but

120:10 mean you haven't speak in complete sentences . A dyke does what?

120:24 wait, wait a second. Are saying the zircons came from the

120:28 Now all of these zircons and all these appetites are in our sandstone.

120:33 you can you can call for you call in a dyke to do something

120:36 fine. I just want to make we're not we're not calling on the

120:39 to be from some other place there our sandstone. If you want to

120:43 a date in the story, that's . I mean, Before you start

120:52 on dykes or something, just just to me how broadly speaking, how

120:57 it be that the appetites are 20 years younger than the age deposition just

121:14 to heat them up. Maybe by by a dyke. That's a fancy

121:19 . There's a simpler way. How you heat sand stones up? Easy

121:33 . Yes, you do. Where you get oil from? How is

121:40 made? Excuse me. Did you erosion? Oh, carriage in is

121:53 source? Yeah, but how did that that that is Karajan has to

121:56 heated up. Right, You make by taking, yeah, thermal maturation

122:03 you get that by taking material that deposited at the surface and burying it

122:08 . Right? So we're talking about sort of burial here. That explains

122:15 the appetites are younger. Right? the closure temperature of fishing tracks in

122:24 Lower than that? About 100. 100. Um So what this is

122:34 us if the if the deposition all . Eocene, then this tells us

122:39 in the Miocene in 20 million years this rock was buried to temperatures in

122:45 of 100 degrees. Now, what the fact that these Zircon ages all

122:55 to be between 60 and 100 million ? Tell us if the age of

123:03 deposition is E. S. About 40 million, that's telling us

123:10 the provenance. We've got two different here and they're telling us about two

123:15 things. In one case we're learning where the grains came from. They

123:19 from a place that had predominantly cretaceous is just from 60 to 90.

123:25 very narrow range. But they but can't be reheated in the sedimentary

123:32 That's the uranium lead zircon closure temperature high. But the appetites can be

123:39 . That's only a close juncture of . So does that make sense?

123:47 because of burial? Now, what I told you now? Oh I

123:51 wrong. So in in in in a we've got this story in which

123:56 says there's this there's this there's a area of cretaceous blue thons and they

124:03 being eroded and they make a sedimentary in the Eocene which is subsequently buried

124:09 that 20 million years ago. Is above 100 degrees? That's interpretation.

124:14 But that assumes that a deposition in E. S. C. What

124:18 I now told you that the age deposition is 10 million years? It's

124:24 late Miocene. It's not that it's the middle of the EEC what what

124:30 are we going to put on this ? Now, give me the

124:34 Give me this burial history. The all history. The provenance history.

124:39 this rock is only 10 million years . The Sandstone Age of Deposition is

124:52 vs 40. We're just talking about . Now I've moved it to

125:09 Now we've got the appetite ages which older than the age of deposition right

125:14 they were younger. If the appetite track ages are older than the age

125:24 deposition, what does that tell us the depth of burial? The thermal

125:30 of this sandstone? Why did five is 100 and 10 degrees, maybe

125:49 . But don't think in terms of , just think in terms of

125:59 This rock was deposited 10 million years . And yet the appetites are much

126:04 , 2030, 40 million years How can that be a simple

126:16 We would go down to Galveston's this picked up some appetites. What ages

126:19 they be? Well, they'd be than zero. Right? Why?

126:28 ? And and if we were to that, why are they not younger

126:32 the date of deposition? Well, it's zero, it's kind of a

126:39 example. But um All right, stick with this example. Let's take

126:44 and add 10 million years. These are older, just like the grains

126:51 in Galveston's are older because they haven't buried yet. The grain. If

126:56 looked at appetite fishing track ages in Galveston's sand today, they would be

127:01 the fishing track ages are in the they came from from the llano uplift

127:05 the big bend region or whatever these in texas are coming from.

127:12 if we had ages of the sandstone are clearly older than the sedimentary

127:19 what does that tell us about how the sample could have gone Not very

127:27 . That's the answer I'm looking That's all there is to it.

127:30 very deep. Right? Because they been reheated. If this rock is

127:37 is if this rock is 40 million old, they've been heated above 100

127:41 . If this rock is 10 million a row, they haven't been two

127:45 different histories for this granite for this and two very different potential exploration targets

127:52 rock that's never been to 75 degrees a rock that's been 100 and 50

127:57 . It's very different potential for hydrocarbon . One has never been hot

128:02 Clearly, if you can't, if can't start reheating a few appetite fishing

128:08 , You might not be interested in $100 million dollars to drill down

128:14 But if you but if this rock eocene, you've clearly taken this rock

128:18 to above 100°. That might be good me. And in both cases,

128:34 Zircon uranium lead data aren't telling us about post deposition all history because they

128:41 do because the closure temperatures too The reserve con uranium lead data are

128:46 us about the provenance. Where did grains come from? We're gonna look

128:50 a place in our geologic understanding of that has grains that are that that

128:56 an age of 80 70 80 90 . Look for that place. And

129:02 where you can say there were rivers from that place to this place.

129:06 these rocks were being deposited, that's paleo geographic consideration, which again,

129:11 be very important in our understanding of history and the appetite fishing tracks.

129:18 so if But if the age of gray at the age of the Sandstone

129:22 10 million years, then the appetite track data are also telling us about

129:27 Geographic information. We are looking for place in which the zircons are

129:33 but the fishing tracks are 20. might be a different place than where

129:38 zircons are 80. And the fishing are 60. We've got a fingerprint

129:43 our of our uh, of our . If the if the Sandstone is

129:51 , We have a we have a complicated finger pinch of our provenance.

129:55 the Sandstone is 40, Yeah, always if the Sandstone is 40,

130:03 the appetites are telling us nothing about provenance. So it's not it's not

130:08 nuanced information. All we get is zircon information. The zircon ages are

130:14 . But if the if the if the if the if the deposition

130:18 ages 10 million, then we have more complicated story because we have to

130:22 90 million year old zircons and 20 year old. F more complicated,

130:28 what I meant because you know, good and this here where I'm

130:34 you know, I went back to saying when we talk about the chronology

130:37 a sandstone. If we look at system, we're either going to be

130:42 about the post de positional history of sample or the provenance never bolts at

130:46 same time. Because if it's hot to give us the first one,

130:50 too hot to give us the All right, here's a question.

131:03 need to know the age of a of fossil pour sand stones. We

131:08 they are paleozoic and contain some bentonite . You know what Ben night

131:16 Yeah, but what's the what's the the form? What's the genesis of

131:20 beds? Where did they come Bet night beds are generally thought to

131:25 altered volcanic units. Their mud mud. They're really quite altered.

131:40 that's what we've got to go We need to know how old these

131:43 stones are for our geologic history We're studying a new region and we

131:49 to know some things about it. pretty sure they're paleozoic, but we

131:53 to do better than that fossils aren't . Are we going to figure out

131:57 age of this sequence? Well, on what? Yeah, the bed

132:15 of volcanic rock. So how are gonna date it? I'm saying that

132:21 can know the age of the sandstone just looking at the volcanic rock just

132:25 to it. Okay. But I , and I have suggested that these

132:28 tonight's came from volcanic rocks, but not, I mean it's not good

132:34 to say look at it's not good to say argon you need to give

132:39 a that's still not good enough. when you're dating something, you have

132:45 say the system and the mineral. what system and what mineral will we

132:51 to? What rock? Well, tonight means that it's really altered a

133:07 like corn blend or case bar. are really just now. Almost all

133:13 . So they probably wouldn't they probably buy type same. No, that's

133:21 the only one left. Well, the only one day. That's only

133:24 for argon. But you've got other besides argon uranium uranium uranium. What

133:32 got three kinds of uranium dating uranium , uranium fission track or uranium helium

133:43 is right. But you've got three here. You did you say uranium

133:52 ? I didn't hear uranium lead. think that's good on what material you're

133:58 to apply this uranium lead system. . Yeah, americans are probably still

134:03 to be available in a bentonite. is a very altered bentonite are usually

134:08 when a rile of a realistic deposit a distal deposit is deposited in water

134:14 that gets real altered. And all all the glass turns to clay,

134:19 the felt sparks turns to clay the tight and armband go away but there

134:24 cons are forever. Right. in this case we're picking Zircon because

134:36 it's resistant to chemical and physical Um We don't know, I mean

134:43 also nice that the closure temperature is , but it's probably the only mineral

134:49 has any chance. It's also got really high closure temperatures. And that's

134:54 we, you know, when, trying to figure out the age of

134:58 volcanic rock in a sequence of sand , your first choice is always going

135:03 be, is there a real Are they're zircons? That's number

135:07 that's always going to be the best thing because maybe, you know,

135:12 say these rocks are paleozoic, they've around a long time. That's what

135:17 said, it's it's good for dating for the whole history of the

135:26 But the event that we might be in this case is the burial of

135:29 rock. We don't, we want know the age of the deposition,

135:34 the only way we're gonna get the of the of the deposition of this

135:38 by using potassium argon. And by way, you shouldn't say potassium

135:42 we've moved on from that. It's 40 39. Right? So if

135:46 if we could date by argon that be fine. But that assumes that

135:50 rocks have never been buried or We've said their bench nights that means

135:55 , but maybe they're nice spent two with feldspar. Sin Zircon is always

136:01 than feldspar if you don't worry about cost and you don't worry about other

136:06 . Um Zircon is better because it's resistant to weathering and it's got a

136:11 closure temperature. These rocks are paleozoic think, which means they've had 400

136:17 years to be buried and then uplifted if they were buried below about 200°,

136:24 argon systems are going to be But the but the the zircon uranium

136:30 zircon system will not be reset. really, I mean if you take

136:38 home thing from you take one thing with you from these lectures is you

136:43 , your first question is can we zircons Zircons in a really light?

136:48 your if your problem is, I you've got two problems, right?

136:53 you've got your your your your going these sorts of things. These isotopes

136:58 the fossils aren't aren't good enough and know, that's the fossils may be

137:04 or they may be not diagnostic. fossils might tell you these are paley's

137:09 rocks that's not good enough. You want to know early early permian

137:13 late permian, not just paleozoic. now we have to do this isotope

137:19 . The best choice for dating just age of rocks is always going to

137:24 a zircon. Then the next we to all these other methods, then

137:29 whole then our second question for sedimentary might have nothing to do with what

137:34 age of deposition is. We know age of deposition. The fossils tell

137:38 the deposition is you know is cena or something like that, hup hup

137:45 vary it. So one of those of the of the of the Jurassic

137:48 something. We know that that's good . But now we want to know

137:52 happened to them since then. That's second bunch of stuff is when we

137:56 to say, well did these rocks hot enough to make oil or metamorphose

138:01 whatever you want? Whatever you're interested . Then you go to a different

138:05 of things. But for this we're interested in the age of sedimentation.

138:12 zircons. If you can't find a you hope you can find a feldspar

138:16 something else. What if there were . Okay but what if this bentonite

138:21 so unbelievably altered that you can't use ? And it didn't have any zircons

138:26 it? Is there any hope in the see the age of sediment the

138:32 sequence basically. I'm saying we don't fossils and we don't have volcanic rocks

138:38 we still think they're probably paleozoic and like to do the best we

138:44 Is there anything else we can There's no zircons in the bentonite?

139:00 if there was air cons in the stones. Yeah we could but why

139:11 that of all your, you gotta we got three ways today to

139:16 Right. Why did you choose that . 00 comes in the sandstone.

139:30 do you want to do with Why? He said fishing tracks

139:36 Why do you guys pick fishing We're trying to figure out the age

139:39 the deposition. Is that the best ? Uh Well, they could be

139:56 than the sandstone they're in. If been reheated, you're you're picking,

140:04 picking a system that is prone to reset. It's a palace or

140:10 If you picked fishing track in if the rock got heated up to

140:14 160 degrees, you might lose some those fishing tracks. 150°. isn't very

140:23 . This rock's been around for 400 years. What's so so you could

140:28 that? And you know, it be interesting. It probably wouldn't be

140:32 first choice if the job was to the age of deposition. What if

140:37 looked at the zircons and looked at Iranian lead ages? What would that

140:42 us? I just spent an hour about how people do things wrong in

140:49 ? You should do it this do it this way. You got

140:57 bunch of zircons in a in a And I want it. And and

141:03 that have, can that help me the deposition? All age of the

141:06 at all. What if I dated zircons. And I had a range

141:22 ages from, let's say 395 - . That's my range of ages of

141:36 100 Jerkens 395-1000. When was the deposited? I know for certain that

141:46 was deposited in the paleozoic because I a fossil that's I got a trilobite

141:51 tells me tells me that it's paleozoic nothing else. But I gotta zircons

141:58 go from 390 to 1000. When the sandstone deposited? Yeah. And

142:07 than Older than 2 45. Based the fossil the fossil the trial by

142:16 it has to be paleozoic. Right that narrows it down. It has

142:20 be younger than the youngest Circon and example I gave that's 3 90 the

142:26 sells this has to be paleozoic but not a good trial bike because it's

142:30 know it's got a whole range of paleozoic. I assume there are such

142:35 . Maybe there aren't but there are fossils that are not good that

142:39 Right so the next step remember dating try those or cons for age determination

142:51 not our first choice. First choice go to a real life. Maybe

142:56 right light didn't have any zircons. choice we go to our fossils that's

143:02 better than than our third choice. here this fossil was only telling me

143:08 I need to do better than just . So now I'm going to my

143:12 plan plan C let's just date all zircons and what this told us is

143:18 than 3 90. How much younger 3 90? We don't know younger

143:22 three nights younger than the youngest That's all we can say. But

143:27 how you would go through the plan . My first plan you say there's

143:32 bent night. That might be a bentonite. Let's find uh see if

143:36 can have any minerals in there. only mineral we're likely to find zircon

143:41 the others are gonna be too Didn't find any. Go to Plan

143:47 . Which will go to Plan The the fossils. That's not helpful

143:53 C. Now if it turns out we know it's paleozoic and we get

143:59 youngest grain is not 390 but You , 2 90, then we've narrowed

144:06 down between 2 92 45. What the youngest grain is 2 50?

144:10 now we know these rocks are late . You see that's why sometimes you

144:16 you go and you date 100 grains you still get 1000 million years and

144:20 didn't learn anything Francis dating of the . Zircons is the third choice in

144:28 and trying to figure out the age a sedimentary union dating an inter bedded

144:33 rock is always number one. If don't have that, then the fossils

144:37 usually tell you, okay. But the fossils are bad either they don't

144:43 because you're deposited in a high energy or the fossils are not diagnostic.

144:49 know, some fossils just have a long range, right? Some fossils

144:53 just be only diagnostic of the paleozoic . Some fossils might not be only

144:58 of the fan or iso if they change the whole time. That's the

145:02 they looked in the Devonian. That's way they look in the cretaceous.

145:05 fossils are like that and there they be excellent fossils for environment of deposition

145:12 they're terrible fossils for age of So if that's all you've got,

145:17 go to the third choice is to dating to tribal minerals. The problem

145:21 that is that it will only tell about whatever the youngest one is.

145:25 you happen to find a young that's the same age as your

145:28 You got it. But you'll never that. You just know that the

145:32 must be younger than that. Let's what else we got here.

145:44 we just basically discussed that one. let's see. Alright, let's look

145:57 , let's look at this. This . We've got a strata graphic sequence

146:03 . We've got a granite shale, sandstone and highlight. I want to

146:10 the deposition all age of unit B sandstone and there are no fossils to

146:21 us. I'm not gonna allow you use any of the ice a

146:29 Systems we have discussed in these three . We've been together. Um You

146:35 use more than one. You have you gotta $1 million dollar budget.

146:40 worry about that. Um How many systems. How many different rocks?

146:46 many what minerals in what rocks give a plan? I'm gonna expect more

146:52 one thing to be done here. lead. Okay, uranium leads or

147:06 on the rye like. Okay, good. That'll tell us the age

147:09 the highlight. So that means the has to be older still. Fair

147:16 . That's a start. Can we anything else? Yes. You don't

147:25 inventory. Um, uranium thorium. you say? Say it again

147:31 Yeah. Say it again mandatory. And the helium uranium thorium helium dating

147:42 what minerals in what rock? Well, um if you dated the

147:55 light by uranium lead Zircon, you tell the deposition all age of

147:59 Rye light. As good as you buy dating the uranium helium on the

148:04 rock. You would certainly, you almost certainly get either the same age

148:08 a younger age. Well, I the helium has a lower closure

148:15 So you're either going to get the age because this is simple. Relight

148:19 cooled rapidly or you're gonna get a age for the helium than you got

148:24 the lead in the in in the of learning about the deposition? All

148:29 of unit B. That won't help much because we've already got the the

148:35 oldest age we can get from the light from the uh uranium lead.

148:41 , uranium lead the uranium helium Well, tell us something about that

148:46 light. But all it will tell is if that real light has been

148:50 since then it won't help us understand age of the sandstone. Because all

148:55 we already know that the sandstone is than the age of the uranium

148:59 Zircon in the reelect. So, not sure. I would recommend

149:04 I mean, unless we are, that's part of a much larger geologic

149:09 , it's not going to tell it's not going to tell us when

149:11 sandstone was deposited if we already have the data which was already suggested.

149:18 , I'm gonna say probably not. is there anything we can do with

149:23 of these other rocks? The tribal on the sandstone? He says,

149:30 me more. The tribal dating of ? By which method? Which minerals

149:48 the sandstone? The quartz. you got to say which mineral,

149:53 can't say the tribal dating is the part then you have to say which

149:57 then you have to say on which ? That's okay. Yeah. Now

150:03 now you're thinking should I say zircon time. And the the answer is

150:07 , you should probably say zircon every . Okay, we got to know

150:11 all these answers, but Zircon is the best thing to choose.

150:16 yeah, okay, now, I there are other. So so zircon

150:21 the sandstone, uranium leads? You uranium lead. Okay. Zircon on

150:26 sandstone? Fine. What's that gonna us? And by and by how

150:31 zircons you wanna date? 117, . Okay, if you had a

150:35 budget, you might go for you're gonna date up, you're gonna

150:39 dozens of them. Alright. And of those grains is going to be

150:43 important to you? Which of those is going to be most important to

150:50 ? The youngest one. Very So when we get the youngest

150:53 we will know that the sandstone is than the youngest one. So it's

150:58 so we're going to be young. sandstone is going to be younger than

151:01 youngest Zircon in the sandstone, it's to be older than the zircons in

151:06 Royal. I so we're now we're it down. Okay. Is there

151:12 we can do with the shale? is something but we just talked about

151:20 very briefly last friday, Yeah, talked about rainy um osmium dating that

151:27 an ice a topic technique that can shales directly and that might work in

151:33 case you'd have, that might be on how good the detritus dating of

151:38 sandstone is If you date those zircons uranium lead, you know, you

151:41 get lucky and get the same age you got for the real light in

151:45 you've you've narrowed it? You've got figured. But you know, let's

151:49 say for the rye light, we an age of 100 million. And

151:54 if the youngest zircon in the sandstone a billion years old? That didn't

152:01 at all, did it? So now we know that the sandstone

152:07 between 100 and a billion years Is there anything else? Is there

152:13 else we can do? We can the uranium osmium. Fair enough.

152:18 say the radium osmium doesn't work anything we can do. We're focused on

152:27 method. We can learn about the of deposition of unit B Any method

152:32 all. But I've told you that dated the sandstone zircons and we didn't

152:36 anything younger than a billion. Which us that we've got some pre Cambrian

152:41 out there, which tells us something the paleo geography at the time.

152:46 it doesn't help us figure out the of deposition so far. All we've

152:50 down the highlights 100 million. And sandstone is sourcing an area from billion

152:55 old rocks. The shale. We the Renea mausoleum. It didn't

153:02 What would the OK. And how you date the granite uranium would

153:11 Okay. Um And what would that you then? Suppose? We got

153:16 I got an age on that granite 400 million. What does that tell

153:21 about? The agent sandstone? This is 400 right. Lights 100.

153:35 granite is 400. So now, do we know about the Sandstone?

153:42 sorry. Say again. It will between the 100 and sweet. Very

153:46 . Can we do a better, we can we narrow it down and

153:49 more? Yes, but let's say we've we've tried to get a nice

153:58 age on the shale and we keep . It's not working. Is there

154:01 else we can do? We've got uranium lead age on the granite.

154:05 got some uranium lead age on the . We've got uranium lead age on

154:09 sand stones and granite. Excuse We have a uranium lead on the

154:14 in the sandstone. But they weren't . They were all too old.

154:18 there anything else we can do to granite? What we got from the

154:25 was the crystallization age? Right. we know that this granite at some

154:30 was at the surface of the earth it has a shale on top of

154:34 ? Right. That's a deposition contact I've drawn it. That's what I

154:38 it to be. When did that get to the surface of the

154:48 Was it the same time that the in that granite crystallized? That was

154:54 long time before the zircons crystallized down . Right. Probably Appetite Which not

155:08 appetites. Appetites don't have potassium in . Iranian lead in appetite could be

155:17 thinking of maybe trying something like argon the feldspar. Mm Because that will

155:26 us an age. That is when when the granite was coming towards the

155:32 . But it's not such a low temperature that you see this granite has

155:36 subsequently been buried by a shale sandstone O'Reilly, we don't know exactly what

155:40 thickness of these things are and or much other things were deposited on

155:44 But we know this granite has has been intruded, it was uplifted brought

155:50 the surface, the shale was deposited top of it. Then some other

155:54 were deposited on top of it. I don't want to go to the

155:57 lowest closure temperature. Do I let think if we went to if we

156:03 this thing by appetite fishing track? , if we got an appetite fishing

156:10 age that was older than 100 that would be very helpful because if

156:15 older than 100 million, that means it didn't get reset by the rye

156:20 deposition. If it's younger than 100 , then then there was a lot

156:25 burial up here. But but I'm saying that in order to figure out

156:30 age of the sandstone, we want temperature that brings the temp the granite

156:34 to the sandstone uranium lead. Zircon great. It's unambiguous, but it's

156:40 a long way away from the temperature which Sandstone was being deposited. We

156:45 we could get an idea of when granite was at the surface, when

156:48 shale was being deposited. So what I did a 4039 age on a

156:53 that gave an age of 140 million ? Even though that granite is not

157:00 contact with sandstone, it's strata graphically the same basic story here. So

157:06 the granite cooled to 200 degrees 140 years ago and this rye light was

157:13 at the surface 100 million years Now we've narrowed the whole thing down

157:17 100 and 40 and 100 and That's better than the narrowing down that

157:23 were describing between 400 and 100. that's how I would go through the

157:30 here. You know the plan because I mean, our goal here is

157:34 , we need another deposition all age unity, but unit B and units

157:40 difficult to date directly. We can dating to tribal minerals. We can't

157:45 we if we date the D triple and they come up unhelpful because they're

157:49 super old that they didn't tell us . We didn't already know, then

157:52 try and date the other rocks nearby maybe we'll come into something. I

157:57 this next this next story really is kind of version of that. We've

158:05 unit A B. D and I don't know why we don't have

158:09 unit. Oh yeah. So assume we have, I want you to

158:15 with this problem for a few Look at these things. Unit A

158:21 top of unit A sits unit On top of unit D. On

158:26 of BSD on top of Dsc. are this is strata graphic column.

158:31 might go find someplace, granite, , sandstone, Riley in there.

158:38 have these various values of data. want you to spend the next 55

158:46 minimum. I'm just gonna go down hall and get a drink of water

158:49 just take a break. I want guys to look at these data carefully

158:54 think about the geologic complications that come if we've got these data and this

159:00 graffiti, I want you to interpret whole history of this sequence. Considering

159:05 it means to be a conglomerate and and a wry light. Notice that

159:09 conglomerate has grenade class in it. important. Uh So remember the closure

159:18 . Think about how you can make sequence go. I'm gonna give you

159:24 at least five minutes to sit and about it. Make a little,

159:27 some notes. Think about a Uh what this means. We've we've

159:32 from, we've gone from this example we didn't know any of this

159:36 What should we do? This is example of, we went and did

159:40 and got these data. Now I you to interpret them. So take

159:46 few minutes with that. Yes. the first. Thank you. Thank

165:11 . Okay the each of the unity some alterations come back to B and

165:52 . It should be in between of B and unity. Um You mean

165:59 you? No we're just gonna I know why the letters are like

166:03 I mean are you saying where what their unit C. Is there?

166:06 , no. I'm saying that the day age is 90. That's what

166:10 showing. Right. It should be 3 58 and wait but wait a

166:15 . That's the uranium helium age on appetite. What's the closure temperature of

166:20 system? That's I'm glad you noticed because that's an important thing here.

166:33 it's it's if you're saying that there's mistake there is not that's real.

166:38 can be that way. Because notice you're comparing different systems now, you

166:44 it should you know why is why nine You you thought that that unit

166:48 should be somewhere between 3 58 and 60. Those aren't the same.

166:54 got uranium lead zircon uranium healing appetite uranium helium zircon so those don't have

167:01 follow a standard 123 order because they're different. Does that help?

167:09 think about that mm. So you to go through it now. You

167:59 to start what can you tell Yeah that's what I mean. Clearly

168:10 are not quite the right way to it because you've got closure temperature issues

168:16 . It's young. You know the helium age of appetite of D.

168:20 younger but younger than the uranium lead of zircon. Let's start with you

168:28 . What can we tell about And B. Let's worry about dND

168:31 . What can we say about And B. What's the closure temperature

168:38 Latins of lead in spain? four or 500. That's fine.

168:45 the closure temperature of Argon and Horn ? Maybe 500. Yeah.

168:53 So what does that tell us about granite? Right, well not 500

169:04 . But I mean what we can is that this rock was that this

169:07 was at 500 degrees about 5 450 460 million years ago. Without any

169:15 information. You want to call that crystallization time. Okay, that's

169:20 So the granite started At 4 Let's say what is the feldspar?

169:29 us 200 - 3 80. It down to maybe 100 and 50 degrees

169:37 3 80. Right? So pretty to the surface. We know it

169:47 to the surface because there's a conglomerate top of it. And the class

169:52 that conglomerate have some uranium helium zircon . And their 3 60. Does

170:03 tell you where the granite class came ? It came from A.

170:09 it came from you today because that's probably exactly what you'd expect the helium

170:14 ages to be from you today? didn't if we were to actually do

170:17 helium zircon on unit A We'd probably something a little bit younger than 3-3

170:24 because the closure temperature of feldspar goes to about 201 50. The closure

170:31 of helium in Zircon Goes from like 80 - 100, something like

170:38 So that makes perfect sense that that was derived from the underlying granite.

170:44 . And so we've had erosion and that that granite was crystallized at 4

170:50 . It was brought to the surface 3 60 A little bit after

170:57 Right, What is the rest? now let's look at the rest of

171:03 story. What does unity tell Yeah, but I mean, You

171:15 move beyond the 700 and 800° business you're told what kind of rock it

171:20 . When did go ahead? I'm saying the driver volcanic rocks,

171:28 rocks. Absolutely. So we know this volcanic rock was deposited at the

171:35 3 58. Right? We know the granted in the Columbia glamorous were

171:40 to the surface just before that, somewhere around 360. So we've

171:48 we've got a granite, a conglomerate and highlight the conglomerate was at the

171:54 at 3 60. The Rye light at the surface at 3 50.

171:59 can we 3 58. Excuse How can we explain that Sandstone with

172:03 uranium helium appetite age of 90-90 million . That's the only thing that's yet

172:14 be explained. And you've both noticed , but I think you're still both

172:18 little puzzled by it. Or do have an answer now, burial?

172:31 . How much burial win? What's closure temperature of helium and appetite?

172:54 70 200. Yeah. Call call it 75. So how much

173:03 and when do you feel on the or something? I didn't hear that

173:15 part, 3 km3 km. let's let's not say it in terms

173:23 temperature. So we don't have to about the geothermal gradient. Just how

173:26 was it buried 75. Above Let's say we could have been above

173:35 . Yeah, well, we know was more than 70 but less than

173:40 than 100 and 50 maybe. So probably buried you around 100°. And when

173:48 that take place? Well, we that it cooled below 100 degrees 90

173:55 years ago. The burial, the burial was going to be at some

173:58 before 90, it cooled down below by 90. So sometime between 3:58

174:09 90. This entire package was You know, you've got a granite

174:15 came up and then was covered And then this whole thing was covered

174:19 and brought down to temperatures in excess 75° before 90 million years ago.

174:26 90 million years. But it was down to temperatures in excess of

174:31 but probably not much more than And then that whole thing was cooled

174:38 below 70 after 90. So from information, we can just, if

174:44 just look at the granite, we say that it went, it was

174:48 , it went up, it went , it went up again. We

174:51 we can, you know, if wanted to draw a history of that

174:55 , you know, you could draw , it would go up down up

174:59 then the other rocks would would move it depending on whether they existed yet

175:04 not. This is a good a Exercise that. # 13, I

175:14 it. Um Here's okay. We take a break. Yeah, go

175:25 . We'll take a quick break. , well, well, he's in

175:29 restroom um Madonna, you may wish Consider # 14. It's a similar

175:44 . So we'll do 14 in just few minutes. But it's but keeping

175:52 this 14 and 13 are are similar . We're going to look at the

175:57 and downs of of this based on data we have. So look at

176:01 various closure temperatures and the strategic see if we can sort that

176:08 Mhm. Oh that last one I . So it'll uh I'm not clear

178:15 we interpret that? We come up an interpretation of what that very

178:20 Well, no, you need a need a geologic map and some other

178:24 . All we can say from the on that slide is that it got

178:29 . I mean, obviously if you these were real samples, we'd have

178:33 have we'd have structure and strategic graffiti the whole, you know, who

178:36 this? Are these rocks? Where these rocks? You know, these

178:40 from florida or from kevin checker. mean, obviously you don't know

178:44 you know, you don't have a map. You don't have obviously that

178:48 be additional information. But but without doubt, we could say that these

178:52 were this granite crystallized at 450 came to the surface by 360 was back

178:58 by 90 was back up. Since . That much, we can say

179:03 a geologic map without a tectonic We can't say why, but we

179:09 simply say clearly it happened. We're now, we're working on the how

179:13 and when the next step is to to the, you know, to

179:18 this in the context of the broad setting the tectonic setting, the structural

179:25 and you know, but all of then has to be has to be

179:29 to the what and when, how and when that these data give us

179:34 datas tell us how hot and when the job is to interpret that in

179:39 of, you know, I'm a chronology ist. I work on the

179:42 , how hot and wind part. not a great structural geologist. So

179:47 I have to figure out the I go talk to my buddy mike

179:50 he and I work it out together I can explain to him well now

179:53 means the rock was at this hot hot this time. And he

179:57 well, okay then we gotta put fold here or a fault here or

180:00 we do. But no, you you can't figure out. Don't don't

180:05 bad that you haven't figured out why don't have any information. The next

180:09 is to work it out in terms the broad geologic context, the

180:14 the structure, that stuff. If were working on a real problem,

180:19 would know that stuff. So let's this number 14 question. We've got

180:27 shift As our basement here. It's uranium leads Orton age of 24 50

180:36 39 Muscovite of 4 60 40 bio tied at 455. And the

180:43 helium zircon of 300 sitting on top that. She just, It's a

180:51 with the uranium lead zircons that range from 325, 24 50. And

181:00 top of that we have a real with 4039 of feldspar at 250.

181:09 what can we say about how this about? First of all, we

181:18 say it's a shift. So that it's a metamorphosed rocket came from something

181:24 . Let's say those were shales. really can't shells or sand stones.

181:31 we say anything about those shells or stones that were metamorphosed to become the

181:43 ? We can. There's one thing bit of information we have about them

181:51 from here. This is a metamorphic , our basement rock in this

181:58 But we know that the the pro lift of the shift had really old

182:05 in it. Right. We had that were as old as 24:50.

182:12 , the shift contains rocks that are are key in late early protozoa.

182:20 all we can say about the total of the shift it contains this oldest

182:26 . But then what then then, else can we say about the shift

182:29 metamorphic rock? When was it Excuse me. 300. Um Why

182:50 ? Why do you say 300? , but what's the closure temperature of

182:58 helium zircon? It's quite variable, it's probably 200° and lower.

183:11 That's not the temperature at which rocks metamorphoses it? It's hotter than

183:17 So, we've got muscovite and bio those are those sound like kind of

183:21 minerals to me in a shift. . So I'd go with the metamorphosis

183:27 being in that sort of 460 Because that's when the bio types and

183:32 cooled off, the metamorphic ISM is than 4 60. Right? How

183:39 older? We don't know. It be somewhere between 4 60 24

183:46 We've got his chest, that's got in it And those Mike has cooled

183:51 350. Around 450. Oops. mean to do that. Um Are

184:21 following this at home Madonna, Did get that? Yes, that's

184:29 That's good. So, I'm gonna you to consider I'm gonna go through

184:33 again, the shift As a metamorphic . What what was metamorphosed some sort

184:40 sedimentary rocks, sand stones or those had material in them that were

184:47 as old as 2450. When was metamorphosed sometime between that Prada with age

184:56 these biker ages of 4 50 4 60. What is the uranium helium

185:03 tell us when the rock cooled down 200° And that's it. That's after

185:10 around 300. We have a sandstone sits on top of that. That

185:16 zircons in it. So you have lead ages that go somewhere between 3

185:21 And 24 50. What does that us about the age of the

185:40 Younger than 3 25. Now. fact, we already knew that because

185:46 uranium helium zircon in the schist is . So the sandstone has to be

185:52 than 300. Right? To the didn't tell us anything. The zircons

185:59 the sandstone didn't tell us anything that shift didn't already tell us. The

186:05 tells us that the Well, probably. Yeah. Yeah. The

186:12 is telling us that the that that was near the surface by 300.

186:18 so the sandstone, Well, you , the Sandstone is younger, the

186:22 is younger than 300. Um And now, so what then the

186:29 light sits on top of that? get a 4039 age of for the

186:35 of 250. So is this a , do we have a strong constraint

186:44 the age of the sandstone? Or ? Just tell me what is the

186:48 range in which we know the sandstone it could have been deposited in 2

186:56 - 300. That's correct. That's we got. If we had a

187:01 , that would help, that'd be . But without a fossil. And

187:05 dated all those zircons in the sandstone they didn't help Because we already had

187:10 300 from the underlying basement. So is old. And and notice that

187:18 sandstone has ages from 3 25 to 50 that 24 fifties the same age

187:23 the shift. Right. So some those zircons probably came from the underlying

187:27 , but just when Exactly, it's to say we know that the helium

187:33 age says that that shift came close the surface by 300. Doesn't guarantee

187:38 it got all the way to the . Uh it must have gotten to

187:42 surface before 250. That's all we say. Alright, let's see what

187:51 we got. We're running a little on time, but not terrible.

187:55 our next? I know I've got 20 of these 15 We're going

188:01 we did 13, 14, interpret the history of this sequence unit

188:09 is a granite Circon Age of By a tight age of 1400.

188:19 Fishing Track Age of 500. Then have a Triassic sandstone sits on top

188:26 that. And on top of we have a cretaceous sandstone With appetite

188:34 ages of 40 million. All tell me what happened. Sure.

189:27 , clearly the granite is old. . What is that? What what

189:34 the appetite fishing track age? Tell about the granite. That after the

189:41 age it got hotter, got Well, what's okay, certain what

189:46 age like the fishing temperature gives the , whether it got hotter and the

189:55 will disappear. Well, okay, mean, but um We've got this

190:01 . We tell the granite 1750, when it crystallized. Yeah, and

190:05 1400. That's when it got you , it was still hot 1400 million

190:10 ago. It was at a temperature say 300°. Yes. And then by

190:16 million years ago, we know, that it was at what temperature?

190:19 temperatures? Appetite fishing track? 100 maybe so far in the Cambrian.

190:27 rock was 100°. What temperature was this in the Triassic? More than

190:50 Well, we've got a sandstone deposited Triassic right, deposited on top of

190:55 granite. That means the granite was the surface in the Triassic, The

191:03 is at 100°. I don't want to in that surface Purpose would be 20°.

191:14 between 500 degree 500 million years ago it was at 100 and the Triassic

191:20 was I mean, we know that rock was never hotter Than 100° since

191:30 million. Yes. So The granite near the surface 500 million years

191:40 And then then what happened by the ? It probably didn't it didn't go

191:47 , right, because if it got , we know that this rock has

191:52 been hotter than 100 degrees since It made it to the surface in

191:58 Triassic temperature of 10° or 20°. And on top of that there's this

192:05 a much younger Sandstone that has appetite ages of 40°. What's the closure temperature

192:11 appetite helium About 75°. Right? So there's a cretaceous Sandstone, 40 million

192:22 old. Appetite healing ages. What that tell us? It was buried

192:31 to what temperature? Maybe not that , maybe only 80. In

192:38 we know it's not 100° we know not 100 degrees because if if the

192:45 sandstone got up to 100 degrees, temperature is the granite below? It

192:49 be at even harder? And we it never and we know that rock

192:55 got above 100° because it has an fishing track age of 500 million

193:02 75, And given this information, thick would you, would you predict

193:11 Triassic sandstone to be, Would you it would be thick or thin?

193:22 gonna give you two choices. Three of five m 100 m 1000 m

193:38 m. Because the difference between both 25 cents ius I'm thinking it should

193:44 around one kilometer thick, but if was if you're thinking the sandstone should

193:51 1000 m thick. This, the rock unit b you're saying that's 1000

194:00 , I think it has to be . Because if the if the appetite

194:04 age in unit C is 40 million , that means that it got heated

194:09 after the cretaceous to a temperature in of 70 degrees. If if the

194:16 sandstone is 1000 m, that means the granite is going to be another

194:22 m below that, and it would easy for that granite to have been

194:28 to a temperature above 1000 degree above degrees. But if the if the

194:34 Sandstone is nice and thin, five then we can reheat the the helium

194:41 the appetite, in the cretaceous sandstone changing the fission tracks in the appetite

194:50 the pre Cambrian granite. Which because if the pre Cambrian granite is only

194:55 m beneath the cretaceous sandstone, that's , basically in the same place,

195:02 if it's 1000 m below, then going to be at different temperatures.

195:05 granite is going to be hotter. if the if the caucasus sample got

195:09 enough to read to move helium around an appetite, that's going to be

195:14 enough in the one kilometer below to changes in the fishing tracks and these

195:20 tracks are very old there 500. I would predict that the sandstone have

195:26 be quite ship, quite thin, you'd start to see big differences in

195:31 ages or similarities in those ages, we see differences. Does that make

195:39 to you? Why the 1000 m not the right answer. Okay,

195:43 got that good. I would say . Um Okay, what else we

195:55 ? This looks similar. What's the here, granite with a zircon age

195:59 3 50 by tight age of 3 appetite. Fishing track of 200 we've

196:06 a Triassic sandstone again, we've got cretaceous sandstone again. But here we

196:12 appetite helium ages from 200 to So this is the same units.

196:20 now we give them different ages. are we going to change our

196:36 Oh so the zircon uranium lead zircon of the granite tells us that it's

196:48 pre Cambrian anymore. It's uh it's . So it's a younger. And

196:55 the fact that the uranium lead zircon the and the Argon 40 39 bio

197:01 are the same. What does that us? The youngest? Welcome.

197:12 you were you were talking about granite . So we're not we're assuming all

197:18 zircons are the same. This is a not a not a not a

197:21 where we have a spread of Although zircons are 350 And the by

197:27 is also 350. They have different temperatures. How did they get to

197:32 the same. The uranium lead zircon 3 50. The argon 40 39

197:42 tide is also 3 50. Yeah have different closure temperatures. Yes.

197:46 . Yeah we get the same It's not a highlight. So we

197:52 have the simple interpretation of everything cools the same afternoon. But this goes

197:58 to what we talked about a lot saturday is about depth of intrusion.

198:03 . What does this tell us about this granite was intruded deep or shallow

198:09 to be shallow has to mean that closure the country rocks were at a

198:14 less than 300. How much less don't know, but we know that

198:19 appetite fishing trek ages are 200. by 200 this rock was at a

198:25 of about 100 degrees 200 million years . What what time, what time

198:35 is that? So, uh Early Mesozoic 200 200. Is that

198:56 that Jurassic or Triassic? I can't . It's uh I think it's

199:06 So we've got 200 million year fishing age and a Triassic sandstone. What

199:13 that tell us? That tells us granite was was uplifted to the surface

199:19 then to cover it up pretty This this Triassic sandstone is covering up

199:25 fission tracks in the granite. And there's a cretaceous sandstone on top of

199:33 . And the appetite helium ages in thing have a broad range from 200

199:37 100. When you have a broad , that's more indication of provenance than

199:47 . Right. If you were to a bunch of appetites, we would

199:52 down to Galveston today and gather up appetites from the sand. Would they

199:56 be the same age? Because they coming from different places? Right.

200:01 be different ages. But if we that sand in the Galveston's down to

200:07 They'd all end up being the same , whatever the burial time wants.

200:11 this range in ages. 200 - . What does that tell us about

200:16 depth of burial maximum depth of burial that cretaceous sandstone. How hot does

200:38 get to need to? How hot you need to get a sandstone to

200:41 the helium in the appetites? that's helium. You're talking about helium

200:49 be about 70. Remember we just that in the last example. So

200:53 tells us that this cretaceous Sandstone has been buried past 70° because we have

200:59 big range. All older. excuse me, we have No,

201:04 well, we have a range. this probably means this cretaceous sandstone was

201:10 after 100 million years ago And that 200 million is telling us about the

201:16 . This granite, this is where helium is coming from in this

201:20 Right, so is this a good to search for oil? Why?

201:29 should be the temperature will be around . But wait a second. Which

201:38 ? Which rocks had gotten to All of these once are just some

201:42 them, some of them which what the maximum temperature that this cretaceous sandstone

201:57 ? The helium appetites ranged from 200 100. With a big range like

202:05 . That suggests to me they have been reheated. If they were

202:10 they would look more like that with narrow range of that red. That

202:17 curve tells us it's a narrow range been reheated maybe. But this has

202:21 wide range. 200 - 100. don't think they've been reheated. They

202:29 been reheated, they haven't been heated a temperature of above 70°. Cretaceous sandstone

202:36 been to 70. Of course, rocks beneath it are going to be

202:39 because they're beneath it and we don't how thick the cretaceous. Let's say

202:42 , The Triassic sandstone is 100 m . That's a thick sandstone, But

202:49 still only 100 m. Is this good place to look for oil?

202:59 would say. No, it does look like the it doesn't look like

203:04 fishing track ages on the granite are same ages as some of the of

203:08 sandstone in here. This whole region look like it's been in buried since

203:15 cretaceous And hasn't been buried to temperatures 100° certainly not above certain. Maybe

203:22 even above 70°. So we're just barely at all we may not we not

203:29 be in the oil window at all . Is that you follow that?

203:36 entirely Go back to this range of 200-100. If we if we if

203:46 is the easiest. This is the closure temperature system. We've talked about

203:51 and alien. It's really easy to rid of the helium and if you

203:56 rid of the helium in a you would expect all the ages to

204:00 up being about the same. This a large rate. I mean,

204:05 are assuming simplistically, it's actually it's a little more complicated than this,

204:09 we are assuming simplistically that all all the appetites have the same closure

204:14 . That's fine. Let's just do . If they do then the range

204:20 make sense for reheating. This range is telling us about provenance, not

204:26 post deposition, all thermal history. , we can learn about one or

204:31 other, but we don't learn about at the same time. And

204:33 you know, it all depends on deeply the rock has been buried.

204:37 which bit of information we're getting here we have a range. I'd say

204:42 wasn't very deeply, Not even to that seems a little bit cold to

204:48 start making oil? Certainly too If you start making gas 17,

205:01 need to know the deposition all age the arcos. What do you do

205:07 time is critical? I'm in a hurry. There's a there's an un

205:14 . There's a basalt below, there's arcos. There's an un conformity,

205:19 a wry light above and above that a sandstone with tyrannosaurus rex. Did

205:25 know that tyrannosaurus rex is an index . Transfer respects is only found in

205:32 district and part of the cretaceous. very last part of the cretaceous.

205:36 didn't learn that until recently, but you see tyrannosaurus rex here in the

205:41 restriction is from 71 to 66. the whole thing is older than 71

205:47 of the T rex. Now I'm give you two questions. One is

205:53 to do if time and money is no concern and what to do if

205:57 in a big big hurry, the and money is no concern we're gonna

206:01 , we're gonna do everything okay, what's the first thing we need to

206:05 if we're really quite in a big to know what the arco stages,

206:10 is, what's in Arcos? Arcos a kind of sandstone, a feldspar

206:15 sandstone. No, you can do the corn. Yeah. Yeah I

206:27 think that's what I do the that's put the that'll put a age

206:32 It must be younger than that of because there's an un conformity there,

206:37 could be a big time missing We don't know. But yeah,

206:40 think I would agree that if I had if you can you can get

206:44 done quickly. Um one quick analysis will tell you that right that our

206:49 is older than that. Okay. now that's a quick thing. What

206:57 you're gonna do your whole PhD on region and you really want to figure

207:00 exactly you've got a lot of money you've got a couple of years to

207:04 this out. What else are you do? Ryan uranium lead dirk on

207:09 the right like that's a good start we know that that highlight better.

207:13 us an age older than 66 because got tyrannosaurus rex up there. That

207:19 rex is a late cretaceous fossil. But now we're gonna go into more

207:26 what else we're gonna do because all learned so far is the is the

207:30 coast is older than the highlight. . How can we date vessels?

207:55 probably not a lot of bio tied the basalt. Maybe feldspar.

208:13 you could probably try and data feldspar the basil. Um The assaults I

208:17 you last weekend were mostly dated by the ground mass. Just not worrying

208:22 the minerals. Just maybe even dating whole rock because remember I said,

208:28 is the most potassium? And we're we're gonna try and date it by

208:32 methods. You could also maybe try do a rubidium, strontium, isotope

208:36 . Or you could try and you could try and find delight in

208:40 like that. Uh Remember zirconium the kind of thing where zirconium goes

208:47 there's no silica to go with But uh you might try to date

208:53 basalt by argon methods. Either basalt mass or maybe there's some flash

208:59 We know this rock is at least million years old. So that's

209:03 That's good, you know, we have to worry about being too

209:06 right? If we didn't have that rex there. You know we

209:09 You know this rock could be two years old. But we know the

209:12 are older than 65. So I would date. That would probably

209:16 my second thing would be to date assault by one by by maybe as

209:22 , you know, dated by argon either on the feldspar. If we

209:26 feldspar, you know, not all salts have big plastic places in

209:30 but that could be a thing or do the or just do the uh

209:34 ground mass. That might work. of course that would tell us that

209:38 basalt is older than the Arcos. else. Well, the problem is

209:59 our coast is a coarse grain sandstone made of made of minerals that came

210:03 somewhere else. How are we gonna when you say date the our

210:07 That makes it sound easy, but not What are we gonna date?

210:14 zircons. And that would again give another chance. Uh It might not

210:20 us a much. This is not as an un conformity between the coast

210:24 the basil. So we could presume there's not a lot of time difference

210:28 the two. So that's why I the dating the basalt is the second

210:34 . And and dating the tribal minerals the arcos is third choice because they're

210:39 to be older than the basalt. telling us anything in terms of

210:44 Now we always like to date the minerals because they tell us about paleo

210:50 . But I would say that you in terms of if your if your

210:53 job is to figure out when this , this our coast was deposited,

210:58 want to date the I mean, you've got you've got what is in

211:02 ways an ideal situation. You've got volcanic rock above and a volcanic rock

211:07 . The only problem is that there's nonconformity above the Arcos which puts an

211:11 time in there. But you there are many places in the world

211:16 we don't know the exact story. could be one of them. Um

211:25 we've done that. We're running Oh we did that already. Wait

211:30 second. Oh we've got different ones . We've got eight. Getting

211:36 17 and 18 are sandstone right? our coast basil since 19 is

211:43 We've just changed, okay, we it around a little bit, we're

211:45 interested in the Arcos, but now have a sandstone with trilobites beneath that

211:50 a shale beneath that is an our and then there's an un conformity and

211:55 there's a granite. We're still interested the archos. So it's trilobites.

212:03 that means, what time period are looking at? Did you talk about

212:15 with Dawn? Yeah. Do you when trilobites were found, said trilobites

212:26 paleozoic. They're mostly young. They're , most trilobites are like Cambrian or

212:33 , but they could be permanent. we know these rocks are older.

212:39 permian are older. So what if do is time is critical. We

212:45 to know something about this our coast away. What's the first thing we

212:48 do in which rock? Yeah, probably good. Iranian leads are not

213:08 the granite. The only problem is there's an un conformity there and the

213:12 formed at depths. So there's a time between the crystallization of the granite

213:17 the deposition of the archives. You want to try and narrow that time

213:21 by looking at say, argon 40 of the feldspar in the granite,

213:27 would that would be the temp. would be the time in which the

213:29 was closer to the surface. That really narrow it. You know,

213:33 that granite is you know, if trilobites are Cambrian, let's say This

213:39 this granite is our key in. could take this rock and get three

213:45 years, that wouldn't be very But if that same three billion year

213:49 rock had a felt car and that 500 million years, 600 million

213:56 Now we've got it somewhere between, know, 604 50. So I

214:02 know, I mean I might go 40 argon dating of the feldspar in

214:07 granite first of all. And then have the question what if time and

214:13 is of no concern, then I probably go to the uranium lead zircon

214:18 the granite because I mean, it still, you know, I

214:21 there's no guarantee the thing is a , you know, five billion years

214:28 . Um Then we could try the , the uranium osmium on the

214:33 you know, that works sometimes. we could try and do you know

214:39 tribal dating of the Arcos? Look the zircons in the Arcos, maybe

214:43 at the felts bars in the arcos see what their ages are. This

214:47 a, you know, not knowing about the geologic environment because this is

214:51 totally made up example. Um this this, this presents a challenge because

214:57 a big un there's a nonconformity. don't know how big there's a nonconformity

215:02 the sense the sedimentary rocks and the that's easily most easily dated. And

215:09 also have, we also know these are at least 250 million years

215:15 which means they've had a long time be buried. So, some of

215:19 low temperature information that we might get be complicated by post de positional

215:25 So, um, this is one the more challenging situations because I haven't

215:31 you very many rocks that are easy date and they're really old. So

215:37 just how that works. Um, not gonna do that one.

215:44 I guess we've gone through them. are those are those are my,

215:50 I'm good on on Wednesday, I'm ask you questions that are kind of

215:54 these, I may ask you some details, some specific questions about,

216:00 know, how do we figure out temperature of a mineral or what you

216:03 ? But I mean general, I'm ask you, I'm gonna, I'm

216:06 just gonna ask you, you multiple choice questions like what the closure

216:10 of argon in feldspar is a 300 400. So I'm just gonna

216:15 you know these things you've got, got about 12 different systems we talked

216:20 , you got, you got the , you got the argon, you

216:23 the fishing track, you got the , you've got minerals like zircon

216:27 horn blend, bio tight muscovite There's a bunch of closure temperatures and

216:36 I will ask you some questions like that provide you some data and then

216:43 your understanding of the closure temperatures and bit of understanding about geothermal gradients and

216:53 like that, Try and figure out history of the, the little,

217:00 little story that I've come together is exam going to be online? Not

217:06 potion, I thought that was question , is the exam gonna be online

217:18 in person? I don't really care does Don want, we did his

217:38 online. The bios right, first , Don wants to be it

217:43 No, we didn't have exam online it It is usually between 6-9 and

217:50 gets pretty late. So yeah, would vote for online because I have

217:58 travel late at that. Well. okay. I can give you um

218:13 if we're gonna do it online then gonna do it on blackboard.

218:18 I can give you test on blackboard and you just take it there.

218:29 what time will that be? 6:00 Wednesday? Okay. I will set

218:37 a test that that becomes available on at 6:00 on Wednesday. You'll have

218:42 certain number of minutes to take I don't know how many yet,

218:45 won't be three hours. Uh What may end up doing. You know

218:53 , you know, the downside of online test is that, you

218:56 you're not proctor, you've got the , you've got your book. Um

219:02 way to sort of determine whether you , you know, whether that whether

219:07 answers come largely from you or from ability to google things is to make

219:13 time period not very long, But mean I will I will understand that

219:21 given you only 15 minutes to answer question. You know, I won't

219:25 you a question that takes two hours figure out if you know the closure

219:28 of these things. None of these should take more than 10 minutes to

219:31 . If you know the thing, you don't if you don't know the

219:34 , there's no point in taking two , right? So um but I

219:40 the best way to do an online is to give you questions one at

219:43 time and no backsies, you finished question one and you know I'm

219:49 give you, I don't know five and each question you're gonna have say

219:54 minutes to answer and there will be what I'll do actually. I think

220:02 black boards not that sophisticated. I they can give I can you can

220:07 like a whole hour to do the but I can I can put it

220:11 that once you answer a question you go backwards um and I can also

220:16 them to you in random order so you won't be answering the same question

220:21 the same time. So there's no each other up and saying, you

220:25 what you get on number one, don't know, I haven't done number

220:27 yet. Leave me alone. So how I like to do the online

220:32 . You'll have you'll have a you a say an hour to do the

220:36 . Um you'll have four or five . Um You'll get them in random

220:42 and there'll be no returning once you you answer a question you can't go

220:48 , how does that sound? That's . Usually Howard did with dr down

220:54 that he asked us to be in zoom meeting, he showed us a

220:59 of like three questions per slide and used to email him the answer instantly

221:06 the time frame. That works Yeah. Okay. I think I'm

221:13 with doing it that way. So mean my way that we'll do it

221:17 blackboard and so you know, I've I've done blackboard tests for other classes

221:21 I'm familiar. It works okay. I guess that's what we'll do.

221:26 it'll just be on blackboard and so don't have to give me anything or

221:30 there. You're you're off the Um So that's what we'll do.

221:36 will put together a test. It take between. I mean I mean

221:41 probably give you at least 45 maybe an hour and a half depending

221:44 how many questions and how hard they . Um but you know, you

221:49 to study the closure temperatures and think , you know, think about,

221:54 through these examples we just talked about trying to make sure you understand why

221:59 means that we heating and this means means this or that. So that's

222:04 we'll do. Do you have any between now and Wednesday? Just send

222:08 an email And I guess if you have any more questions we can call

222:16 . It's almost 5:00. So we call it done for today any

222:25 Thank you. Well I mean you certainly know that. I mean I

222:37 expect you to know that every I the Triassic Jurassic boundary. I don't

222:44 that very well. But I know Mesozoic paleozoic boundary. So to you

222:49 , 5 45 to 45 65 those , that should be something you already

222:55 . Ah um Yeah, I mean would be nice if you knew that

223:03 eocene was around 50 million things like . I mean, I don't feel

223:11 I'm too much of an ogre to , you know, the geologic time

223:14 . You're in graduate school now. yeah, yeah, at least at

223:19 the order of approximate ages. I , again, I won't ask you

223:23 question that I don't know. I what is the what is the

223:27 The Devonian mississippian boundary. I don't , but I can tell you it's

223:32 around 33 54 100 something like that you know it well, you

223:39 you damn well better not think it's . Okay, 400 will probably get

223:45 there and if you know, and should know that, you know ESPN

223:48 after police. See that kind of . But yeah, it is

223:55 you know, just just as it's for, you know, when I

223:59 about the metamorphic rocks with students, know, I want them to know

224:03 the chemistry of the minerals, the of the rocks, the mineralogy of

224:07 rocks, they all go back and . So the numbers of the

224:11 The names of the ages that you . Yeah, you should know a

224:14 bit about that. And um that's I got any questions from from

224:26 You're good. Okay, you're All right. I've just got to

224:32 a test and have it ready by on Wednesday. I can do

224:39 Send me an email if you have questions. All right. That's the

224:42 of

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