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00:00 So the multiple, multiple choice is gives me a good opportunity to expand

00:07 them. Share the the exam on , I don't know where this

00:24 That's on canvas. OK? That's . We can do the other

00:59 We're gonna do this anyway. Right. Yeah. Since nobody did

01:08 , I can do what I So we on canvas isn't where,

01:41 on canvas is the that exam? . What? There's an exam in

01:49 if you go to the files tab There is a final exam that's uploaded

02:15 and we waste a lot of this . So I think this is all

02:21 by to somebody else. OK? Brown from previous question. So here

02:27 12. So I didn't share this you. No, I did get

02:35 . Yeah, because I put it somewhere else. Yeah, you

02:51 All right, we can just do here. OK. Chris be

02:58 They, they have mhm All As long as there's interest in doing

03:08 . All right. Uh So the multiple multiples, what are the

03:12 about this? These are basically for and false. So the top gives

03:17 a heading for it, right. these four questions are first for

03:21 are related to the gamma ray OK. So first one true or

03:27 is a measurement of gamma ray intensity to the disintegration of plutonium potassium and

03:35 . True or false. What three false? Why is it false?

03:45 uh uranium and thorium. This is difference than the one you printed.

03:51 is on canvas. Yeah, it's not glutton like those three elements that

03:59 part of the uh uh basically the ray, one of the gamma ray

04:05 actually distinguished between those with spectral gamma distinguished between those three elements,

04:13 Uh which of the three was related organics, which of the 22 of

04:17 are related to claves, which two those which were related to organic.

04:28 have a lot of studying to do . You remember we went, we

04:35 through a uh subsurface example where we at that uh and uranium is related

04:44 organic tai thorium clays. So typically are grouped the pats thorium together some

04:51 those because that's clay indicator and then uh uranium uh looks separately particularly that's

05:02 and unconventional pick sweet spots, things that. People look at the uranium

05:08 , we looked at an example of gamma ray log has a depth of

05:16 of 3 ft and a resolution of inches to repulse. Yeah,

05:28 it's not, it would be much if that were true, it has

05:31 depth of investigation for the tool of inches and a uh vertical resolution of

05:39 ft. The opposite of that works in hard rocks as the SP

05:50 So the SP is often substituted, example of this. Again. Remember

05:58 looked at that, we talked about the field lines are pulled into the

06:02 resistivity formations. Uh Remember how you how do you pick, right?

06:09 do you pick be boundaries? Where you pick them when you want?

06:18 were three rules we had for picking zoning squaring logs. If you remember

06:24 were the three roles, the inflection , the be boundaries that inflection

06:41 your memory specifically went through, that through the reasoning as to why as

06:47 pull it, pull a tool up a borehole, you approach a pet

06:52 , right? The signal is going be increasing, it's could be increasing

06:56 an increasing rate. Second derivative when straddles the bed boundary, what's gonna

07:03 is now it's still gonna increase. we pull the tool into the

07:07 it's gonna be increasing at a smaller . And therefore the bed boundary on

07:13 tools is picked at the inflection OK. Which is what that

07:18 That's basically when the sign of the derivative changes uh or the other tool

07:29 . And the reason this comes up , if your number in very resistive

07:34 , you literally can't use the but it's all smeared out.

07:38 And you can't tell where the PF are. You had a specific slide

07:43 it's not a slide but a powerpoint where we looked at that. And

07:49 , uh it's even if you have high resistivity contrast, it's hard to

07:54 up that boundary still at the inflection , it just doesn't really look like

07:58 . Uh So that was one of big rules, right? That inflection

08:05 over the other 21 was mentioned already the maximum development of the log that

08:12 either direction where you pick it because the closest to the true answer.

08:19 , in thinner beds where you have bed, right? You're never gonna

08:23 the maximum development of the law because averaging to adjacent beds, but your

08:29 value will be the maximum development of law, right? Therefore, you

08:37 pick that, that's the point where would make shoulder back corrections from that

08:43 development. What was the third Yeah, you, you, you

08:54 only where it affects your calculation, it is. So again, for

09:00 gamma ray, why did they introduce exception to the gamma ray as long

09:05 we're on this project? The gamma ? Yeah, absolutely because there's statistical

09:17 in it and therefore the peaks really what you want because that's reflected with

09:23 . So you go through the average of gamma ray at the peak,

09:27 ? You try to average that high . Notice it, it's um whenever

09:34 showed you the logs, the gaming noisier than the speed of the brain

09:39 because of that reason. All Uh And so works poorly in the

09:46 rock of the sp. So the , so that one's true uh is

09:52 useful for determining the degree of shass a formation. Yeah, it's

10:01 It's useful for it. Can you quantitative with it? That's pretty

10:06 Just beware of generating four significant figures this is how j something that's based

10:14 the game, I think, particularly you're normalizing based on, on uh

10:19 either the overburden or the under burden that formation, if you're going to

10:25 the under burden or overburden, which should you be using? Mentioned that

10:32 the course too. I know which one is more of, of

10:39 sort of depositional setting, which one more to that depositional setting, an

10:45 burden or an overburden, the one of you had to get it

10:53 ? Uh It's not necessarily closer, it's the end member of,

10:56 So usually you have a high energy and then the energy gets lower and

11:01 as you, as you approach the turbo die or whatever it is,

11:06 ? So the overburden would be the of choice. It's probably gonna be

11:10 one that's more related to the clays are deposited. Uh in that

11:16 Whereas the under burden is a basically different whole different sequence. So it'd

11:22 less likely to be related to Uh OK, the gamma ray have

11:30 come up with their places too. so it is often useful.

11:34 but so at least a qualitative Again, all of these, the

11:40 and, and the gamway are about reservoir versus non res rock. And

11:46 you remember we went through several instances high gamma ray would be your reservoir

11:53 opposed to low gamma ray, which true in classic typically. Yeah.

12:00 radioactive Dolomites, for example, um if you had something related to a

12:07 , granite wash or something like that your reservoir, that would probably be

12:12 higher rating of activity than adjacent possibly higher. Fair enough. Number

12:20 , which are true for dual induction work well in high salinity muds.

12:28 false because you're supposed to be thinking with the dual induction log. And

12:37 what happens then again, if you at the focal current, it's induced

12:42 the borehole, what will happen if have a high salinity mud basically will

12:47 out the tool most of your current interior in the borehole as opposed to

12:54 the Bodin nation. Yeah, we'll about later life in a second.

13:00 , they do not work well. high salinity funds, you won't get

13:05 . The medium induction is close to deep induction when there is little

13:18 And that's true because your act that, that is true. That's

13:24 about right. The shallow tool the usually read is dominated by RXO.

13:32 medium gets close to. That means invaded to that point. And if

13:37 not, it means that it's closer RT. So your invasion shallow,

13:42 ? That led to you being able use those three logs in combination with

13:48 , what kind of block liking the that it was called, it's called

14:00 tornado plot. So you use the deep and shallow with a tornado plot

14:08 infer what the diameter of invasion what RXO was and what RT

14:16 you had basically three logs and three you were gonna solve for in that

14:21 . You get a little bit of , I think in one of the

14:23 , right? Ok. Uh may used with the medium induction and spherical

14:31 logs to estimate depth of invasion. and R zero. That's the one

14:39 just talked about. So obviously true corrected for invasion effects with the use

14:49 spine and rib clots. No, just talked about it being a tornado

15:00 . We use the spine and rib for what remember the density log,

15:10 we use the spinal ribs plot along the density log or or for correcting

15:24 mud cake, right. So it us up to right with the correction

15:30 about 0.15 g per CCS right density us to correct back to the

15:38 which was the answer you wanted. you have too big a mud

15:41 you're basically just gonna make a mud density, right? So all of

15:46 ribs actually curl over. So why that limit, the amount of fraction

15:51 can make? Because all of those basically coalesced before they curl back,

15:57 ? Everything's measured dominated by mud. you can't find out which rib you

16:03 on. Yeah. Right. He talking about that later. Uh So

16:11 , they are not corrected. That be the tornado chart. Yeah,

16:17 like these because it tests your conceptual of things. Uh The other thing

16:25 will tell you is every time I've exams like this, that uh your

16:30 , the student's grade on the true false questions, correlates high, very

16:36 with the rest of the test. they, they, uh, they're

16:41 try to convince me that they aren't of anything. The, the evidence

16:46 that it is, can't do the unless you understand the terminology. Understand

16:53 concepts which statements are true for lateral . Remember the difference between an induction

16:58 and a lateral log. Yeah, of them, one, you've got

17:07 on one, you've got series. already told you that induction logs were

17:15 . So must be the right. what we're left with. So the

17:20 hole, the invaded zone and deep and the layers, different layers are

17:28 in series for this tool, everything in series. It's because it injects

17:35 rather than inducing a current around the , it injects the current through the

17:41 and that it has to curl back the tool. That's why the layers

17:45 more or less in series or li this one works best in well based

17:53 to answer this question for you. false because the mud is in

18:02 So if I can't get the current the mud, right? Oil based

18:06 , in particular, I if I get current through the mud, I

18:11 not get a reading from the So oil based muds uh actually the

18:16 log is preferred. This is why they switched in the deep water oil

18:20 muds, they all run almost exclusively logs. What was the downside of

18:27 that we talked about then that and to thin beds again, why is

18:36 a problem for the induction log is your shales are more conductive than your

18:42 , particularly if they are oil So you will just be dominated.

18:47 , your resistivity measure will be dominated the sands will be done. Sorry

18:55 this tool, they will be dominated the shales because they're more conductive.

19:00 . And that's not what we it's not what we wanna diagnose we

19:04 . We wanna know how much oil in our sin. So how did

19:09 respond to this? The industry respond this. There's a tool available now

19:17 the Tri Ayal tool, right, it actually induced the current, not

19:23 around the below, we have a borehole here perpendicular to that. So

19:28 beds were in series now. So got more responsive to the sands,

19:34 ? For a series combination. OK. Great. So may be

19:42 to indicate depths in which there are oil saturation. This one ought to

19:49 obvious because we did the uh quick exercise. The second part of that

19:56 , he was looking for movable So, absolutely, that's true.

20:01 actually had an example where you worked . People haven't done the homework yet

20:07 . Got a lot of work. come out before Wednesday. If you

20:12 not turn those in, you will getting a zero on those homeworks.

20:17 need to get them in a quick exercise with the homework that we started

20:25 class, right? But most of got almost all the way through

20:30 but we didn't get started on the oil. That was pretty straightforward.

20:36 gotta do is look at those three that actually had hydrocarbons in it and

20:41 see the repo changed in those three . So you could calculate, you

20:46 calculate how much movable oil and what saturation difference was. That was the

20:52 part of that exercise. Pretty Something like what was going on,

20:58 is where you were asked to do . You could also do that on

21:02 line if you want some sense, , making the body more obvious.

21:13 ? C measures a series combination of flush zone resistivity and the true

21:24 It was like three days. obviously, it's true because I just

21:29 it was true, you know, the measurement by inducing a poco current

21:37 the borehole. Then obviously both because just told you it didn't do

21:42 right. Like a few minutes it injects currents through added guard

21:48 What are termed guard electrodes to the keeps it from returning through the mud

21:54 by those guard electrodes. So the has to directly enter. So that's

21:59 puts everything in series problem. Street four, which statements are true for

22:09 law has a bad resolution of about inches. No, even the more

22:20 density logs run slowly, you can down to about a foot or so

22:25 conventional density is more like 3 ft everything else. So you have

22:29 to get that higher illusion, you to run it slowly, do a

22:33 more signal averaging, et cetera and use the latest generation of tools.

22:39 that is false, heavy minerals cause porosity read too high. Yeah,

22:53 can, you can uh we're gonna about uh the other neutron log in

23:00 . But uh what's the way to your way through this density log measures

23:05 the amount of rock or the pore measures the rock. So if we

23:11 pr for example, we're gonna read little rock or too much rock.

23:19 , we're gonna eat too much. . So therefore the broth is gonna

23:25 out too low. OK. The other way to think about that

23:31 the neutron log, right? That a little dumb because the new travel

23:37 doesn't care about fire, right? right measures the electron density of the

23:43 by the scattering of gamma rays off proton. What is the density log

23:52 ? Remember each tool I went through told you the fundamental physics that the

23:57 measured right, gamma rays measuring natural . The SP I guess we haven't

24:07 an SP question but I can ask that. Now the SP measured it

24:18 a resistivity contrast between the mud filtrate the formation water. OK. The

24:25 log measured. These are things you have to know to understand how the

24:31 is gonna respond. For example, I were to ask you, can

24:37 quantitatively measure permeability from the SP No, obviously it's measuring a resistivity

24:48 between the mud filtrate, right? , and and the formation of

24:53 Is there a permeability anywhere in the equipment for the SP No, not

25:01 the saturation. It's not measuring the . It's measuring the resistivity contrast.

25:08 is the density log measure the electron , right? It measures the electron

25:20 via compton scattering. OK. So electron density is that gonna care about

25:29 ? No. Is that gonna care permeability? No. So it basically

25:37 it measures the amount of rock. does it measure the amount of rock

25:42 be a fair essay question. What's density of typically density of the

25:56 The intermediate one? What's the what's the grain density of limestone?

26:05 figures is enough dolemite. Another thing told you to remember 2.8 put a

26:15 there if you want 285 and then 265, right? So what's the

26:24 of water? One nominally? But already have a factor, let's say

26:31 or rock. What's a typical Maybe 25% give or take? So

26:40 already have a factor of four times rock with 2.5 times the density,

26:46 is a factor of 10. So 10 times more sensitive to the rock

26:51 it is the fluid. So you , you're measuring the amount of rock

26:57 the density line I could ask you exactly that question. Why do we

27:03 that as opposed to the neutron law long as we're here, what's it

27:13 ? It's measuring the hydrogen density? , actually protons, why does it

27:23 that they're scattering neutrons off of Those have approximately the same mass?

27:34 the mass of an electron which is small. So again, you get

27:39 momentum transfer when you have something colliding something of equal mass. OK.

27:46 , it's far more sensitive to a density than it is the rock

27:52 So the neutron log is measuring hydrogen . Therefore, it's measuring the pore

28:00 . So it measures right, the of poor fluids, right, which

28:04 why it's so nice to run In combination with the density law,

28:08 is measuring the rock, they have responses that makes the combination of them

28:15 lithology dependent that in in that uh cross clotting exercise. What was one

28:23 the major plots you always used? had density on one axis, you

28:28 neutron ferocity of the other and therefore got a nice lithology contrast between those

28:36 and they basically have very different effects here quicker than I thought you would

28:44 late. Actually, I predicted that well, but we're not even close

28:50 being done. Uh So we're still density log. I got heavy

29:00 We did measures the electron density of formation by scattering gamma rays off of

29:13 . No, it gammas off of . We just went through this,

29:18 . Yeah, constant scattering, measuring electron density. Yes, it's not

29:25 it pop of protons. OK. depth of investigation increases with increasing process

29:43 be able to reason your way through right. It's measuring the amount of

29:49 increase in porosity is less rock. uh with the gamma rays get more

29:55 or deeper clearly, going hold them , not clearly, but they're gonna

30:02 deeper because they are less rock, ? Yeah. And this is why

30:07 actually try to summarize the tools for . Just remember a few basic facts

30:13 the tools. You can think your through all of these questions, maybe

30:20 didn't believe. all right litho density . What was that tool? Is

30:25 a separate tool or did we just the data from the density log in

30:37 different way? Answer to the second is true. Remember the density log

30:46 scattering versus absorption which is more sensitive lev absorption is always more sensitive than

31:06 . OK. Scattering just has to with right. It's an interaction which

31:10 not very lithology dependent for the density right? Density log. The only

31:16 it cares about is the density of electrons, right? That does vary

31:22 the bulk density or grain density of material, right? But it's not

31:28 as sensitive as the litho density which is actually measuring right, you

31:34 captured gamma rays, right? You kick out a case shell you're absorbing

31:39 gamma rays, right. So you you, you basically measure it's related

31:44 that absorption of those gamma rays. the CNL well, that's a neutron

31:50 . But remember we studied two density we we study the studied the standard

31:58 and we studied the the basically the density lit the density was about

32:04 the standard density is about scattering. which one is more lithology dependent lit

32:12 density? And that was actually quite . But remember you did this was

32:17 plot you had when you did basically that lithology dependent exercises. And

32:24 remember that it was almost with the response, it's almost independent of

32:33 therefore almost independent of gas. And it gave you a lithology almost

32:40 right? Where, where is the log at a significant lithology depends the

32:47 density, all right, which we're the lift of density. So provides

32:57 photoelectric absorption curve in addition to the density measurement just answered that it's

33:05 it's basically, it's it's you're analyzing same data, you're analyzing it at

33:10 energy, right? Uh these gamma scatter about lose energy ultimately get

33:17 And you're looking at a low energy of your gamma rays. OK.

33:27 nice for getting lithology as you found the exercise. I hope one of

33:33 reasons we did that was hopefully to kind of a lot of these concepts

33:37 obvious measures the photoelectric absorption by energy of gamma ray. It's like a

33:47 to me. What we just described a photoelectric measurement which is relatively independent

33:55 porosity. Sounds like another truth to . According to what I just described

34:03 developed to provide a higher resolution than conventional density. No, it's pasted

34:10 same tool. You're just looking at spectra and you're looking at the low

34:15 spectra of the gamma ray. So gonna have pretty much the same

34:20 The standard density fair enough should be through. Should we give kind of

34:29 ? Uh First thing six, which the following are true for the compensate

34:46 neutron law. The tool measures the density. Well, we already know

34:51 got problems there in a formation by scattering of gamma rays. No,

34:57 called the neutron log for a It's looking at scattering of neutrons off

35:02 proton, right. So G A would have been true if it was

35:07 density log, not the neutron. enough pathology has very little effect on

35:14 tool. No, it has a effect on the tool, right.

35:24 you can the the interpretation of the lo is not nearly right. Uh

35:32 simple as for the density log, have basically have to do Monte Carlo

35:36 of scattering absorption cross sections and things that. Uh Pretty much everybody used

35:43 be that companies did this for themselves did. Uh But nowadays, they

35:48 on the vendor for the tools. lithology does have remember CNL had a

35:55 more, much larger lithology dependence than epidermal neutron to. All right.

36:01 was that? What was the difference the epidermal and the compensated neutron.

36:09 we're here, we might as What's the compensated mean? People have

36:18 lot of studying to do, I tell compensate a neutron meant there was

36:24 any tool meant there was multiple So for example, you were measuring

36:30 ratio of the two detectors for the log, right? What the

36:38 So because the epidermal is higher so it's more scattering phenomena than the

36:47 or compensated tool. It is actually less lithology dependence than the standard

36:56 And remember you can go back and through the notes and the lithology dependence

37:01 that slide is significantly less for the neutron than it was the standard neutron

37:07 them. OK. Right. Gas the tool to read a porosity that

37:17 too hot. What what is this measuring the amount of poor fluid?

37:28 would happen if we had gas? expecting the poor space to be

37:37 So if we were displacing that with , we had a way too few

37:43 hydrogen in the hydrogen density of oil water is approximately the same. This

37:48 why it can't tell oil from So if we replace that with

37:55 which has a much lower hydrogen we would read not as much

38:02 It's basically measuring the amount of fluid throw, you throw a a you

38:10 at a wall. What happens? comes back with essentially the same energy

38:14 you that it hit the wall So the matrix really does not slow

38:19 neutrons. However, hydrogen does, measuring the amount of poor fluid fair

38:30 . Uh Part D plays cause the to read a porosity that is too

38:40 , false, it reads too high there are oh groups associated with clay

38:47 . But you will still measure so will measure too high a porosity.

38:51 the way, the neutron log is reason we had to rethink what our

38:56 of porosity was. Why was Because it's measuring basically the amount of

39:05 or fluids in the formation. And it cannot tell bound water from free

39:11 , bound water does not contribute to capacity. And therefore, right,

39:17 tool, right, we now call , the total amount of water

39:23 both bound and free water. I talk about that freely. Now that

39:29 all experts as we talked about shaley , right? We talked about found

39:34 free water, what that is? probably will be a question coming up

39:40 to that. But by the professor Professor Ha's lecture, there will

39:45 questions on the final on her So you cannot sleep during it,

39:53 ? But you can, but I suggest, you know, all

40:01 compensated Sonic law. This one we mean is compensated. We actually uh

40:08 tool, we actually send an acoustic in both directions, both up the

40:13 and down why did we do Does this tool is a centered

40:24 It can be centered, it could off that basically not in the middle

40:27 the borehole. Exactly. It could tilted, there can be washouts,

40:32 like that into first order. Combining two measurements allows us to first order

40:39 for that by measuring in both right? We always have a mud

40:45 time that we need to correct for that tool. And it allows us

40:50 least the first door to be able do that. Ok. So what

40:54 it measure? We talked about We didn't talk about what is the

40:59 sonic? What are we measuring? it's measuring a travel time,

41:12 But literally a travel time, the in travel time for two receiving coils

41:19 in it, it's not a coil a receiving transducer is the electrics,

41:26 ? So a measures the travel time the sheer acoustic energy in a

41:32 This is the standard compensated sign. That really is not true for

41:39 It's it's measuring again the standard or if you remember what it did,

41:44 just measured an arrival time, For the burst acoustic wave arriving,

41:50 gonna be the compressional wave arrives before sheer wave. So you would be

41:57 a compressional wave is sensitive to the of buggy porosity. One of my

42:12 actually being a Professor Hampton and I this question measure is sensitive to the

42:23 of buggy fo That's true. Uh not what was asked. I think

42:39 great language. Thank you. I know. I'm not sure.

43:03 agree with all of that. it is sensitive to the presence of

43:07 porosity. Again, the common thing uh I typically state is that the

43:15 is nonlinear in the matrix Boity linear the buggy. So, is it

43:21 to a yes professor hat it Is it more sensitive to the matrix

43:27 ? It's also right? And that's it measured it, it it measures

43:33 matrix ferocity because more sensitive to one with them than the other a lot

43:42 times. Uh And good question if had two rocks both with 20%

43:49 one was 10% matrix 10% bug and was 20% matrix porosity. Which one

43:56 be bath 10% 10% because the lower ferocity would speed up the would shorten

44:09 travel time more than the buggy ferocity it. So again, there's a

44:17 in the in the notes that Dean that acoustic logs quote unquote, don't

44:24 buggy porosity. That's what that It's not sensitive as sensitive to buggy

44:30 as it is. Matrix Nero we that directly with uh with the rock

44:39 data in fact, published in a uh is not sensitive to gas cycle

44:52 attenuation. It's the most sensitive to of any of the tools we study

44:59 to the point where you can't get from it cycle skipping was what um

45:09 attenuates so much that you actually miss first arrival and you actually sense the

45:15 of a later arrival. So it the travel time too large or too

45:23 . Yeah, too large. Whereas which also happens with attenuation,

45:29 So what will noise do you will it trigger early and therefore make your

45:36 time too short. What's it based is the fact that almost all these

45:42 will occur on the bar receiver? the near one because the effects are

45:47 for the bar receiver than would be near receiver. Case you a

46:02 Yeah, a long travel time is slower run. Sure. That's exactly

46:09 went slower and the travel time is . All right. Uh it's not

46:22 to gas. I just answered that is useful in conjunction with the density

46:28 neutron los for lithology determination. Find story right now. General what you

46:41 have been able to see with the of bugs by comparing mythology there

46:48 it's not nearly as good because all of things are going on with

46:52 right? What kind of things affected the uh travel time? One's

47:00 That's why it's called a ferocity But beyond that, what else entered

47:04 the things like the lithology brain contact modulus? Remember Gasman equation?

47:16 what a mess. That was actually a pretty equation actually. But uh

47:21 was barely complicated. That's the best we had for what a determines an

47:29 velocity. So there's all kinds of in it. The fluid modulus is

47:33 it, the frost in it. then the hardest thing to get was

47:37 frame modulus. Do you remember? , in the brain modulus, we

47:42 all these lithology uh and all these things that make, that almost make

47:47 difficult to calculate. Oh What's going if I wanna go look back through

47:57 that calculation right gas equation? All . So again, in terms of

48:05 interpretation, et cetera, we went the density to the neutron, the

48:09 log where interpretation got more and more . Now we get on to your

48:15 scan exercise, what these two are . They can't follow the progression.

48:22 course, here at night, a plot is useful for determining what did

48:26 get from your picket plot? What the slope of the line? That

48:36 the M, what was the intercept from the picket fly? So you're

48:48 a pick a plot to a ferocity one. All you have left is

48:52 water. Get RW. So uh one, Archie X phone and

49:00 that's false. Wow. I'm That's true. In fact, I'm

49:05 you it's true from the slope. , remember how to get the

49:09 You don't go take the anti lod reading numbers off the ax actions,

49:13 have to use a ruler of some . And that working depends on the

49:19 , vertical and horizontal being the same matrix travel time. Can I take

49:27 pick the plot and extrapolate it to porosity? That's zero. No.

49:36 many cycles do I have to go get the zero on a log log

49:41 ? And the infinite number you cannot there. However, on a Hingle

49:46 , you can, this is exactly what you did. You extrapolated Archie

49:53 zero pros on the Hingle plot, cation exchange capacity of a formation.

50:02 . Uh that will mean that your plot doesn't work because you're gonna

50:07 you have another source of conductivity. equation doesn't hold and therefore it's not

50:13 apply, right? And as if any of you plotted the shales

50:17 that pickup plot, you found that came way off, right? The

50:22 of the plots didn't believe me. Archie's equation does not hold in a

50:31 . OK. Uh formation porosity rarely that. Actually. What, what

50:42 you plotting on a picket plot was the X? What was on the

50:53 ? You had RT on the you had ferocity on the X,

50:57 ? It's an input, you don't it from it. You use it

51:00 the block. It's like you wouldn't if I ask you uh it's useful

51:07 RT. You would say no, you get saturation from a picket

51:14 A lot of, you asked me to do it. And so,

51:20 , particularly if you're willing to assume equals and just a sequence of parallel

51:25 and just interpolate. Do you remember three zones that had oil in

51:32 Right. Um They fell off the . You got to get your

51:43 Next, the Hingle plot is plotted log, log paper but common

51:50 No, it's plotted on Hingle paper it's plotted on Hingle paper for the

51:57 M value. But what, what the order? I thought? At

52:02 you should solve these in. What you do? First? You had

52:06 guess M use Hingle paper. They you a matrix, right? A

52:12 uh density which allowed you to take bulk density to porosity, which allowed

52:18 to make a picket plot, which you to get a guess for RW

52:23 M estimate from it, which allowed to actually the M allowed you to

52:29 a RW a calculation. Then as went through these in principle, you

52:35 refine that to get them all to to using the same properties on each

52:41 the plots. You have to make initial guesses. Uh and BRW may

52:54 determined from a Hingle pla No, doing that on a picket fly,

53:04 extensity or velocities may be determined by the voc of one just answered

53:14 No, you on a Hingle you would strap to a pros of

53:18 . And again, I'm still quite , I don't think any of you

53:23 , but still quite impressed, maybe a better word. You can take

53:28 equation, you can extrapolate it to fros one, you can extrapolate it

53:33 aros of zero and still gives reasonable for that velocity measurements. By the

53:38 , do not do that. That's you have a critical ferocity where

53:44 where the uh properties of the mixture dramatically at the percolation threshold for the

53:54 . OK. D may be used determine movable oil saturations if a micro

54:00 log or a micro SFL is Are you talking about this that you

54:11 have done this for that quick scan ? Right? It's exactly what you

54:18 . Now we move on to the Shirley sand question. The cation exchange

54:24 is an important parameter for shaley sand . First of all, what is

54:30 C ad ion exchange capacity? Nobody's to help that iron exchange facy.

54:46 . So we have a clay and actually have uh that have undergone gone

54:52 substitution of one iron typically aluminum. another example, that's usually quite nice

54:59 occurs fairly domin is potassium for Aluminum is plus three. Potassium is

55:07 one. What condition does that leave clay in? You play matrix?

55:15 are negative? We replaced plus three was electrically neutral with plus one.

55:26 does that mean about our minus charges the play, they are no longer

55:35 . So we end up with this of negative charges just because aluminum plus

55:40 is pretty high trouble when I say . But iron, if it's in

55:46 plus three state won't change the It's also plus three against the change

55:56 probably right. Yeah. So iron clay, they could if they can

56:07 have a fairly low and change capacity of that anyway. So everybody knows

56:15 end up this to me is one the reasons I can still make a

56:20 doing formation analysis is rocks are right? Why are they fun?

56:27 have a poor system that poor system multiple length scale in it and time

56:34 if you have some kind dependent, lot of them fractals, right?

56:38 about what a fractal was. That's origin of the fractal nature of a

56:42 . It's the four system. Then do we do? We sometimes in

56:47 rocks we have clays which have a negative charge to them. Well,

56:53 makes things more interesting. Now we a polar fluid in this rock

56:59 Yeah. So water because of that interact with those negative charges. This

57:05 found water versus free water also generates cat ions, right? Uh mobile

57:13 ions, right? These are called ions, right? These cause all

57:18 of fun electrical properties, the excess and wax and Smiths, for

57:23 right? And then what do we ? We make this even more

57:27 we dissolve a salt in this this stuff dissociates as I should have

57:34 this first as these negative and positive uh molecules in them which interact with

57:42 negative charges which generate right. Can the the exchange ions generate a double

57:49 , generate bound and free water. kinds of really fun stuff that's going

57:54 which we need to understand because we understand how much of that water has

58:00 replaced by oil or gas. So all of that physic going on that

58:07 have to interpret. You should be about it too that there are still

58:12 left to understand, may maybe have applications for the. But that's the

58:19 news. There's a lot more physics than one. Yes. All

58:25 That was a nice game uh as important parameter for shaley sand analysis.

58:31 I just answer that question. It is the origin of the excess

58:38 which we have to account for. is that important? Because if we

58:42 account for it, we will attribute excess connectivity to a lower oil

58:49 So we will get our economics If we use the Archie's equation for

58:56 , we talked about this particularly for oil saturation, we will be making

59:02 mistakes. We looked at why we Wax and Smith to the point where

59:08 we could figure that out. You reason your way does the saturation entered

59:14 VQB over SL when we put oil , we are replacing free water,

59:22 B water bottom. Uh Reason for , all right, linear really related

59:29 the specific surface area. That's actually tough one. We did talk about

59:34 . Uh the clays, right, amount of clay you have is more

59:39 less related to the C exchange right? And it related to the

59:45 of surface area which is dominated by amount of clay plays are more fine

59:51 material. You remember I showed you pictures where you have this big huge

59:56 and you have these dispersed plays in poor space. So lots of surface

60:00 associated with clays and so they destroy . Uh The other thing I didn't

60:08 mention that all right, rocks are because the distribution of all of these

60:13 phases actually significantly impacts the rock Uh also true. So is linear

60:21 this is actually true is linear related the specific surface area. Clay,

60:26 dominate surface area and they're so Great, great. It's a number

60:33 papers that have looked at that measured areas compared that to the mountain ways

60:39 related to the volume of bound water a sample answer. This one

60:45 Absolutely bound water is the water that's associated with clay surfaces. How does

60:54 end up bound? If water is . Why would it end up electrostatic

61:00 ? Because it is surrounding the sodium . You get six waters for sodium

61:06 , that sodium iron is attracted to negative. And therefore that water is

61:13 found via the sodium ion, the . OK. And the amount of

61:21 water right? That uh is is to the salinity, right? Because

61:29 see it's true may be measured using potential techniques. Well, sure I

61:36 about that miss glass or not. the answer is yes. So what

61:42 the membrane potential? I will tell now, if it comes up

61:46 what you do is you in the , you'll take a plug, you'll

61:49 grid, one salinity grind past one , you'll flow another salinity grind past

61:54 other end. And you will measure that salinity grading difference, you would

62:00 to generate a potential just like the . However, that will be less

62:09 the lab because you have clays which inhibit the motion of a chlorine

62:15 the lb because the clays are negatively . Therefore, the activity of those

62:21 is less. Your potential will be . We did talk about that related

62:26 the sp. What happens to the as you add clays? No,

62:33 in your nose, professor, I'll somebody answer. Go ahead.

62:39 Very good. Yes. As I explained, the the EMF generated the

62:59 is basically generated by how mobile the are. So how much EMF you

63:04 generate is related to that. This why it's an activity, not just

63:09 salinity, right? So, like Professor Ha just talked about why

63:15 have to go through that chart. how you calculated from the sp

63:21 what the salinity was? How did do that? That was a

63:30 But by the way, II, have asked the T A, if

63:33 don't hand these homeworks and you will a zero on those homeworks, please

63:38 them just to reinforce that. it's basically you, have you done

63:58 ? I would like for you, cannot do the final. If you

64:02 done the hormone, maybe you've noticed by now, but this is purely

64:07 your own good. I would, the way, I would love to

64:11 with the entire class A that actually in one of my classes once it's

64:17 a while now. Uh you're not with each other. You all get

64:22 , you all get a lovely fell that we all learn the material and

64:29 didn't. Great. So this is I like this. See how much

64:34 is involved in the multiple who right? Basically, we cover almost

64:40 the material in the course. So , I find that the grades on

64:46 , I have even been tempted to purely multiple choice, but students seem

64:50 not like that for some reason I completely understand. But uh it's because

64:57 covers the material so well. Gives a depth that she is hard

65:03 do otherwise, then you get to questions. So a little bit more

65:09 uh it's a little bit more rigorous the true or false. So

65:13 50% is the expected value or answers the true and false. If you

65:20 them randomly, you should get 50% can think of this as a

65:26 right? Is the other way to at this, right? You get

65:30 credit for these independent, whether you nothing. So uh one way to

65:35 , although I have found significant amount time, students get roughly 50% of

65:41 , right? So that's a little for me. So uh is what

65:48 is though, right? Why do run Sonic Law talked about this?

65:56 would we run those things? Anybody answer? I'm sorry, what?

66:09 se calibration? Absolutely. That's a one. Ferocity is another good

66:14 Rock strength is another good one. often correlated with rock strength, perfect

66:22 ferocity, another good one. So of those are just explain why.

66:27 a little bit more why about why is de describes how it measures

66:33 How does it measure it? You a transmitter to receivers that looks at

66:40 arrival time at the two, at two receivers, right? Yes.

66:44 know how far apart they are, know, the time difference. So

66:47 can get, you can get a velocity out of it, right?

66:51 does the compensation work? And how that improve the measure? I talked

66:56 a lot of this already. How the compensation work? If you remember

67:03 , you remember the slide, you two transmitters, you transmit in both

67:08 you received and going both directions. this two first order corrects for sizes

67:14 bore hole and bore hole entered tools tilt from that, right. So

67:21 how it improves it. The, problem with the other tools is they

67:25 pad tools, right? And this is actually centered in the port.

67:30 there is a mud travel time associated this that you have to correct

67:35 It's not insignificant, everybody. With this one, what would be

67:44 ? Yeah. Right. What is difference between an absolute effective and relative

67:52 ? Talk about this. It's an permeability. All right, Professor

68:03 star student. Oh, that's The only one fluid in the porch

68:13 . So why would we do this as well ask that, you

68:19 it was to have the, the . You often do it with 100%

68:27 and 100% oil. You often do with both in theory, should those

68:33 out the same? If Darcy's equation , they would. So the fact

68:42 they don't like the example you've got , they were not, they were

68:47 different in this course. And yeah, this is one of the

68:52 I don't call it Darcy's law. too many exceptions to it. It's

68:57 . It's a useful model, but have to understand kind of what the

69:01 , like any model. If you what the exceptions are, this is

69:05 slippage, oil typically will come will come out with a higher firm

69:11 water and in a water wet which is because this non slip pound

69:18 , right, or rigorously held or in a water wet rock than for

69:24 . So oftentimes, in fact, the majority of the time they end

69:28 normalizing to the oil firm, To get relative burn. So what's

69:33 effective peril? Remember her answer or confirms what changed? You have a

69:48 fluid present. So why is Because we almost always have two fluids

69:54 , right? We were flowing oil the presence of water. So your

69:59 permeability is the permeability measure, for , to oil and the presence of

70:05 amount of water still has units of . It's just reduced because we're only

70:12 a partial saturation. Is that OK everybody? Ok. So 100% water

70:27 took, we took, we took sample, we cleaned and dried

70:31 saturated it with water, we measured occur. Yeah, they yeah,

70:36 oil firm. He cleaned all the out, dried and saturated with

70:41 We only have one bait. what we do is we will

70:48 right. We, we will take rock sample to a partial saturation.

70:53 measure an oil permeability. So we oil through it. At this partial

70:59 , we measure the pressure drop in oil G. What we will get

71:03 a lower permeability than absolute perm. as units of permeability still measured basically

71:10 same way pressure top in the flow . In dark equation, we still

71:15 Darcy's equation still works right? And do that at several, we can

71:20 that at any saturation we would like do with that. And how about

71:26 terms that what have we done We took these effective firms and we

71:38 them to our largest absolute firm. for example, the example that you

71:44 in the notes, we are normalizing the oil for but those numbers are

71:49 less than one, the relative Why do we care about these

71:56 Which would be the other thing you add to this? Why do we

72:02 ? This is about pro this is how much oil do we make for

72:07 in a time? So this is about money rather than valuing money.

72:14 OK. With these, you were stressed good maybe I mean real study

72:26 the difference between the litho density and law. I already did this in

72:32 . What was the difference only about minutes ago? What was the litho

72:39 tool? Litho is a huge That means you're getting lithology from

72:54 Yeah, you looked at lower you looked at absorption and not just

73:01 . And so you were, you a much, in fact, this

73:05 pretty dramatic. You get a very lithology determination, almost independent of property

73:12 of gas, accurate, et I mean, so it was about

73:17 energy discrimination on a gamma X ray on our gamma. Why was the

73:26 density law developed? Who get improved determination? Wasn't about resolution, wasn't

73:38 anything like that. It was about nice vertical plots. You remember they

73:43 almost independent across. Remember we had E curve versus porosity. That was

73:50 of your cross plots. Remember what cross plot looked like the lines were

73:55 vertical. So it really didn't depend the density, right, just on

74:01 lithology. It's almost all you would that or how I told you

74:06 it. Don't try to get a from this cross because it is so

74:12 that minor changes in the pe, ? The joint f what's the difference

74:20 volumetric absorption and the pe value? was volumetric absorption? We looked at

74:35 much of our gamma rays be lost that was volumetric absorption. So that

74:43 basically an amount of gamma rays that absorbed when we accounted for that through

74:48 correlation, we got to a pe which was, which is basically an

74:55 proper property just related to the So we don't want to use both

75:02 we want to use the key. . Yeah. How is it

75:09 Get with All right, Archie's My favorite. I probably go up

75:15 get this right. Uh What do mean by write down Archie's equation?

75:21 mean, you write down everything. F is equal to what I is

75:27 to what? Right ro is what is what you need to know all

75:35 terminology. Why do I say this because people talk about Cocw plots,

75:42 should know exactly what that means. is AC OCW plot? They just

75:50 this in shale sans. I'll let best they have I done.

76:09 no oil. So you should know automatically what that is but you should

76:16 what Ro is. You should know RT is. You should know what

76:21 doing. You should know what That's the oil industry. It's incredibly

76:28 uh fishing and usage, right? uses these definitions. I have not

76:34 people vary away from this. So all the time will talk about.

76:40 my RT was this? What's RT example, what is the T stand

76:50 ? True Relativity. Thank you. is the R zero? What is

76:54 zero stand for? No oil? , right? R zero.

77:06 RW resistivity of the water. Hopefully one's obvious, right? What is

77:12 stand for? What does F stand again? Universally these terms are

77:21 And what's the formation factor you really to be able to find what

77:33 It is RO divided by RW. a measure of the tortuosity in the

77:41 . OK. So it is this parameter, right? Remember how RO

77:47 equal to F times RW to write down. It's the definition of

77:54 So it's this scaling factor that relate to RO. So that equation itself

78:02 itself, it's pretty remarkable because gee resistivity varies, directly, directly proportional

78:09 the resistivity of the flo that breaks when you have plays. RO is

78:17 longer F is no longer a constant of RW. The resistivity index is

78:25 to what F is also equal to over B to the M. That's

78:30 Hardee's equation right there. It's the Law part of it. It's part

78:34 time. What's the resistivity index? is equal to one over SW to

78:48 N with that term that analogous uh we add this was important to me

78:57 it was a major clue as to to model rocks and activity of rocks

79:04 was the beginning of staged differential effect . I, by the way,

79:12 got credit for that. Just the . OK. I only claim the

79:22 . Are we OK with this? we mean by that? Explain the

79:26 to wax and Smiths. What happened we added the wax and Smiths?

79:32 did we do? He just gave like we actually changed the, the

79:44 of ions in the brine, we to CWCW plus BQV. We changed

79:52 concentration of the prime all the due due to the pre the play counter

80:00 the other to get a Smith is , we added the cap. So

80:07 substituted right for the connectivity of the with this new VIV and RG and

80:16 gave those to the two, the clay counter ions and the ions

80:21 the brine gave them the same This was the origin of their claiming

80:27 were in parallel, they would have virtuosity if they were in parallel.

80:35 right. What are the assumptions implicit excuse? I think I've talked about

80:39 right? Then the last thing and I'll let her have them, give

80:48 class. Do I need to go this or not? How do you

80:52 these models? What was the first you did not do it?

80:56 sir. OK. What about Can I explain the answer?

81:10 Wax and Smith, you look at board, I guess you can see

81:13 Wax and Smiths Wing down here, ? So what did we do Archie's

81:19 ? All we do is we set , equal to zero, right?

81:24 then this term goes away, we're to Archie's point. OK. So

81:28 would then be CO is equal to . So all we've done is

81:35 we've said we've gone from CW uh this is the connectivity right of the

81:41 absent place to we increase that by and CW times RW is what this

81:51 probably call capital R wine. So we've gone from CW from that,

81:59 this connectivity to we increased the Remember what QV was, that was

82:04 concentration of the, of the cat , right? Of the, of

82:12 clay counter ions. It was the of those in the four space.

82:18 we have an additional source of right? So what determines CW is

82:23 concentration of the ions of the sodium chlorine in the floor space? So

82:29 increased that right from just CW to now to to by BQV, the

82:40 source QV is the concentration just like we determine what this salinity is,

82:45 salinity of A R is directly related proportional to the amount of sodium and

82:53 . The concentration of the salt in brine, I double that concentration of

82:58 , I double the connectivity. So absolutely true. Go look at

83:02 chart, you find that's absolutely true you get near a salt saturate

83:08 Then what happens is they're interacting with other, interfering with each other that

83:12 down. So we've increased the, increased the number of ions due to

83:17 QV, which is the concentration of of the clay counter ions per unit

83:22 volume just like salinity is it's the of irons in the water. So

83:29 this case, in a rock, pretty horrible if we assume that's full

83:33 water, right? This doesn't include saturation effects by the way. And

83:39 because these ions, because they are , electrostatic, attracted to the

83:47 they don't have uh the same mobility the ions in the free water,

83:52 sodium and chlorine and the free water . So this b accounts for that

83:57 them less, right, basically So that's added. And then the

84:05 other thing we had to add was speed to the M which is the

84:09 related to the tortuosity of the ions the poor state. It was just

84:17 paper at SPW A which had had . So that's rolling over in their

84:26 quite clearly. But there is in my humble opinion, the nonsense

84:31 the literature, uh it's fairly straightforward this thing does and the first order

84:37 it correctly? There is some nuance I, that I get first order

84:45 . But I have been, this a lot of physical sense is that

84:55 ? Then M controls what? So , the, the other thing I

85:04 mention when you write down Archie's equation M and N, what are

85:15 They're the exponents and what they are they tell you the rate of change

85:19 tortuosity with velocity or saturation. So quickly is the tortuosity changing as the

85:28 change like bugs is one because remember bugs, the tortuosity was independent of

85:37 . That's what an exponent one means of two means that as I change

85:43 porosity, my tortuosity increases and less one means that my tortuosity is actually

85:55 as I increase, actually my tortuosity , decreases as I increase, decrease

86:03 that you find the place. What you OK with wax and Smiths,

86:13 understand where QV comes from this form this equation. We went through DC

86:22 the number of exchange sites per unit of material, either gram or milligrams

86:31 100 g or gram is the two use. And all we're doing is

86:37 changing it from those units, the of exchange sites for unit 41.

86:43 to get from a weight to a , we need the density and then

86:48 get from a brain volume to a volume, you need to one line

86:53 over when minus speech, the grain and pretty good school block polar volume

87:01 unit bulk volume. So the bulk go away. And all I'm doing

87:04 changing from brain volume, poor volume . And we need that because it's

87:15 or a conductivity me, we need concentration charges in the bright. So

87:24 does this change with saturation? All do is divide this thing put an

87:28 to the end out in front because changing the tortuosity. And then we

87:35 by sw here because the, the of these guys gets bigger. The

87:41 of the pre water does not We, when we put oil in

87:45 rock said this multiple times. We not replacing bound water, we are

87:51 free water, we cannot replace bound . It is bound to tightly.

87:57 even went through. How do you ? A Catholic pressure, sir?

88:04 , we're back to this then. how do we do these models?

88:09 willing to help? Very common? , for me to give you

88:16 this problem. I usually don't do like give you different free water

88:24 I won't do that to this It's something quite similar to the exercise

88:29 did in class. How did you that exercise? What are the basic

88:32 in the exercise? What's your workload people? You're always worried about work

88:39 , right? What did you First thing was we had this equation

88:50 here? Sure, I can do . Yeah, you could see my

89:00 . You plugged in all the numbers and you got h was proportional to

89:04 mercury pressure. Yeah. Remember that guys got 1.1 for your specific

89:13 right? Then what did you do ? We had a relationship then between

89:21 cap pressure and height above free water , which was this guy,

89:25 All we did was re label that times zero was 01.1 times 100 was

89:32 and 10 et cetera. So we height above free water level. What

89:35 we do next? He needed a tie point of some sort.

89:44 This one actually has multiple layers in . So we had a depth tie

89:48 . We had three things we could as a depth tie point. We

89:51 the critical water saturation, right? was where water began to flow.

89:56 the tangents go up vertically to get critical water saturation. We had the

90:02 pressure 100% water level so that we the PD displacement pressure of the cap

90:08 . That was another one. And the third one we had was free

90:15 level which we actually saw where we take pressures. We have given

90:20 look for where they intercept and that you zero cap pressure. So there

90:25 zero cap pressure, there was 100% level. The PD of the cap

90:30 displace the pressure of the cap And we had the critical water s

90:34 . All of those three, you determine in a bore is the point

90:38 can go in with a spinner survey find out, for example, where

90:41 start producing oil, you could go and use our cheese equation to find

90:46 where we start to have oil, . You can go in and measure

90:51 right. Uh with a down hole of some sort and measure pressures in

90:56 oil phase, measure pressures in the phase where they cross gives me zero

91:01 pressure. So I could give you problem any of those three and ask

91:08 next thing you do. Once you this depth tide point is you calculate

91:12 depth of the free water level, free water level is at zero kepler

91:21 . Ok. So from there, depth, that's it, my next

91:28 mark would be 100 and 10 ft it, 220 ft above it,

91:32 cetera rlabel, all the ticks in of a depth. What did you

91:37 next? After that? You now depths. You uh have a geologist

91:45 you ask about your depositional model. are my sands? What depths are

91:50 sands at? You could draw that model on your cap curve. You

91:55 knew what cap curve you were on what depth. And so you could

92:00 your saturation profile in. Yeah, was basically the end of it.

92:08 would probably be the end of the here. You also could calculate

92:13 How do you do that is from ? This is Tamir's relationship for

92:19 I think you gotta ask that on bottle, right? Yeah, you

92:24 have to be aware that uh uh you should be, should be doing

92:32 in terms of um this is log pen, for example, then you

92:42 to use saturations, not fractional for , things like that. They used

92:50 to get the firm ability. So example, typically these are miliar micro

92:59 . If you do that wrong, the way, you're off by a

93:02 10 to the fourth. If you fractional instead of percent you off by

93:07 batch of 100 square basically here But that's not a trivial thing to

93:14 wrong. Every time somebody gets that without you, they use, they

93:21 the step for step, they use . OK? We're done, I

93:29 . Not so bad, right? got through it and two hours you

93:37 three hours for the test. So recommend understand what I said here,

93:46 ? That's your first priority, If you go through any lecture,

93:50 should be going through what we just through next, the homeworks,

93:58 How do you do the homeworks? ? So how do you do these

94:01 things? I can ask you simplified of that. And then finally,

94:07 if you have time you go through individual lectures again, go through all

94:12 lectures you're gonna be going through 30 hours a lecture? I doubt

94:17 gonna do that. So if I studying, I would basically go through

94:21 lecture, go through the homeworks, through the practice exam and make sure

94:26 know how I would study. I know how to give you better hints

94:30 that or succeeding. Your success is success. By the way, you

94:36 not believe that if it's true, rooting for you. All right.

94:44 I think I'm done. This is last time I'm gonna talk to

94:48 Professor Haley's gonna spend, she's got hours so she's gonna talk to you

94:54 . So, to me, I'll you an introduction. This is actually

94:58 nice contrast to everything we've talked about the course because she just used these

95:05 her seminar this morning and you go unconventional, you are stepping through the

95:10 glass and a lot of things that talked about are no longer true.

95:16 do you step through the looking Because the pores are so gosh,

95:21 small, right? I could use more definitive expletive than that,

95:27 They're on the order of a few , 10 molecules in size give or

95:32 . So surface effects dominate. So of cool things go on. You

95:37 do saturation height model. These things work. They're not, they are

95:42 a capillary equilibrium. If they they'd be full of water and full

95:47 oil, right? And so there'd nothing to calculate. So again,

95:54 in T gas Kepler modeling doesn't So the basic things I used to

96:00 that resistivity modeling doesn't work. I'm so quite sure about that anymore based

96:05 something we just saw. So resistivity an open question in these things I

96:13 say and if it does work, parameters in Archie equation are very different

96:20 what we see in conventional locks. they would have to be calibrated

96:26 That does explain to me a Everybody does Archie's equation, but sometimes

96:31 much success. But uh they at try it, at least worth a

96:37 . So all of these things we about, I think she's gonna touch

96:41 will not be quite so simple. she will tell you how they think

96:44 gonna talk about how to evaluate right? How to evaluate the logs

96:49 unconventional. So, application of logs unconventional. And then I think it's

96:55 to point out how it's different from . Not sure how much of that

96:59 gonna do, but I'll try if can. All right. So I

97:05 it's time for a 10 minute So we'll take a 10 minute break

97:09 then uh we'll wrap up the corks for me. OK. Better.

97:35 . All right. We're gonna start a little bit about formation evaluation in

97:39 reservoirs after we do a little brief . So I don't know how many

97:45 you are working in unconventional or have in unconventional. The OK. So

97:57 is sort of a summary of the between the required elements in the conventional

98:03 an unconventional play. All right. basically an image of a thin section

98:12 mm showing the pore space in very large grain size and pore size

98:19 . Um In general, these tend have high permeability because of that,

98:24 don't need to do a lot of like fracking. Um But there are

98:29 , many elements that we have to that have to occur at the right

98:35 . So I have to have a . So in this case, you

98:40 here, I have an Antal Essentially, I have to have a

98:44 . This is the ceiling lithology on of the reservoir, I have to

98:48 a source rock that source rock has be heated enough so that it generates

98:55 . And then those hydrocarbons have to into the reservoir. Uh And so

99:01 of those risks are principally geologic, ? So we have to know the

99:07 of the basin. We have to a basin model. We have to

99:10 able to show that all of the works out that the thermal maturity is

99:15 . Um And typically because these are permeable, we tend to access these

99:20 vertical wells most of the time. is an image of a shale reservoir

99:26 the sem. Um It's hard to from at this magnification. Uh

99:33 these dark regions are either organic material pores. It's hard to tell from

99:38 image, all right. Uh But , if that's the pore size here

99:43 this is the core size over This is much, much tighter,

99:48 less permeable than the conventional formation. that reason, I'm gonna have to

99:53 a large hydraulic frack if I'm going get these hydrocarbons to flow into the

99:58 bore. In this case, I'm to evaluate um organic matter content.

100:06 people call this heroin content. Uh talk a little bit about that a

100:11 bit about the difference between thin and material in a minute. I have

100:16 know the thermal maturity because I have have heated this thing enough that it

100:20 generated significant volumes of either oil or . And that's what I wanna

100:26 I need to know something about the of the formation. Uh And we

100:31 tend to use the clay content as proxy for that. Since clays are

100:36 ductal in terms of their behavior, fluid pressure can be important. I

100:42 because these things are so tight if have a high fluid overpressure that helps

100:46 produce the fluids. And then of , just a total saturation or a

100:51 volume of hydrocarbons. In this the primary risk is economic. And

100:58 all of these, we tend to those via horizontal wells rather than vertical

101:06 . So again, this is another of this where we have our anti

101:12 , possibly a migration fairway along this . Uh everything that we're doing

101:18 And we just talked about this in terms of buoyant pressure and capillary

101:23 . All of these. Everything that worried about here is really about hydrodynamic

101:29 placement and trapping, which is again by the local structure and this photography

101:35 really well defined limits, right? The highest oil accumulation I could have

101:42 be if this fault was ceiling and had this filled to spill,

101:47 Um And then I could have anything than that, depending on again,

101:56 ceiling capability of this fault and, other parameters. Right. So

102:01 I don't have to produce this one I don't have to stimulate this one

102:06 . Um This is actually a coal , methane example. So here I

102:10 a coal bed at the base of uh section. I don't care about

102:17 structure here because if it's thermally mature to have generated gas, it will

102:23 gas everywhere along its extent. So long as I have coal present and

102:32 at the right thermo maturity, I have gas. So I could have

102:37 anywhere along the extent of this coal . Um And it could be discontinued

102:44 continuous or locally isolated accumulations. And , it requires stimulation to produce

102:55 So with an unconventional, I may the extent the lateral extent of a

103:03 , but not every part of the is going to be appropriate for me

103:08 drill a well into. Um I'm we've all heard of what a source

103:16 is, all right. Um Most the reservoirs that are what we would

103:22 a shale reservoir is basically a source that has generated a substantial volume of

103:30 has expelled what it can expel. remainder is retained in the source

103:35 And now we are drilling into that rock like a reservoir to produce

103:41 So it was is whatever residual saturation in that source rock is the size

103:47 the prize that we are looking for unconventional or shale reservoir. Yeah,

103:54 also have things like the Bakken where parts of the Bakken, there are

103:59 silts, then those silts have been charged with oil that has since cracked

104:06 pyro bitumen and natural gas. So are all kinds of variations in this

104:13 . Not every unconventional or quote shale is a source rock, but most

104:20 the ones that I have worked with their lives as source rocks and now

104:26 are producing them as reservoirs. And basically, the defining characteristic of that

104:33 rock is that it has sufficient organic that has survived deposition, biodegradation,

104:42 kind of oxidation in the water column below, you know, uh just

104:48 the sediment, water interface, burial and whatever Tchin is usually, we're

104:55 , we have to have at least 8% 22 total organic carbon in a

105:01 for us to even remotely consider it source rock. Usually it takes more

105:07 that, but we, we draw absolute minimum at. So this is

105:14 just a global map of where. this was, I think this was

105:20 2017, 2018. So probably needs be updated but the extent of unconventional

105:29 formations and where they're productive on a scale. So this is just around

105:34 globe. You can see that North as quite a number of accumulations uh

105:41 potential reservoirs. We're gonna zoom in North America. Um Before we do

105:49 though, just in general countries with unconventional and this is just gas

105:56 not gas and oil, but just . Uh North America has 29% of

106:03 global estimates, Asia, 21% South , 18% Africa, 16% and Europe

106:11 10% with Australia coming in at So this is basically just showing where

106:18 gas or shale gas resources um based the number of technically recoverable resources where

106:27 are located on a global scale. if we zoom in to the US

106:33 North America, um we're gonna start at each of these individual regions.

106:41 this is the Bakken Three Forks Uh You can see it is probably

106:46 Dakota, lots of drilling activity in Bakken here. Um This continues up

106:53 and is equivalent to the Montan and clegg formation in Canada. Um We

107:00 have an estimate of how many billions barrels of oil are in place.

107:05 is actually, so this whole extent the extent of the known formation.

107:13 is the extent of where we think could be producible. So you can

107:18 that there is the formation itself is quite widely, but where it is

107:26 is a much smaller region. At up to this point, we don't

107:30 how far it extends yet because we evaluated everything yet. There could be

107:35 resources associated with the Bakken. But right now, this is our estimate

107:41 the limits of that. And with uh recoverable with current technology, the

107:47 is um five billion barrels of So 6000 right. So this is

107:56 million, so 5000 million 5 billion of oil equivalent. All right.

108:02 And the source of this is the Information Agency in the US. Here's

108:10 Monterey formation in Canada, Canada in , all could be almost like

108:18 Um The Monterey doctor Myers can talk that. He worked on it.

108:24 When he first started in the they estimate 13.7 billion barrels in

108:32 but recoverable with current technology, only million barrels. And that's because in

108:41 and reasonably so some active faults, know, fracking is not allowed.

108:48 we cannot track this formation in the of California. Therefore, these billions

108:55 barrels of resource will remain untapped because we have to crack it if we're

109:00 to produce it all bunch of other here. The NIRA shown here,

109:10 accumulations of the Nyerere and where the has been most extensively drilled. Let

109:16 see here and here, the total estimate there is 500 billion barrels and

109:23 with current technology. Depends who you . All right. Um 460 million

109:29 according to the Energy Information Agency and billion barrels acco according to the Oil

109:35 Gas Journal. So big difference, is the problem that we have,

109:40 ? The formation actually extends all the here, right? Uh And also

109:45 some Nyra uh where we are drilling it here and here and here.

109:51 the Niara itself is very extensive. do we estimate recoverable reserves is a

109:58 because we don't know how far these called sweet spots, sweet spots might

110:04 . And then I just put in , the top 10 landholders at the

110:09 uh in the NAAB Brera, of , Anadarko was purchased by Oxy

110:17 So uh OXY should appear here instead Anadarko. But uh I think many

110:23 these same players are still very active the ny rare, the Woodford uh

110:31 here, Texas, Louisiana area uh then into the Midcontinent, Cal uh

110:39 and Kansas, Oklahoma. Uh Woodford into the Permian Basin as well.

110:47 resource. We're not clear. Um recoverable with current technology. This is

110:51 gas reservoir. So about almost 19 cubic feet of gas. Fayetteville also

111:02 reservoir, no estimate of total resource recoverable gas with current technology 7.1

111:13 Now we're getting into our neck of woods. Uh We've got the

111:18 the Hainesville, Bossier, the Wolf and Bone Springs out here, the

111:23 Ford and the Barnett. So the camp and Bone Springs in the,

111:29 , Permian basin. So we're looking this region right here. Again,

111:34 no estimate of the total barrels in but recoverable with current technology, about

111:40 million barrels. The Barnett here and was really where much of this effort

111:48 . This was the first really widely quote shale gas play. Although a

111:54 of the production is coming out of stones um that are highly quart

112:01 So, but we're oil and we'll call anything a shale. All

112:06 . So here we are. And Barnett recoverable with current technology about only

112:12 million barrels of oil and 17 TCF gas. And again, most of

112:17 was for gas production when this whole revolution started the Hainesville Bossier over here

112:28 uh Louisiana. Uh Mississippi and Again, no estimate of total reserves

112:35 place. But recoverable with current again, highly variable. Uh If

112:43 conservative, like the Energy Information Agency TCF, if you are wildly

112:49 like the Oil and gas Journal, 70 TCF, so big difference in

112:54 two estimates. And then finally, the Eagle Bird here, um

113:00 no estimate of the total reserve in but recoverable with current technology on the

113:07 of 4.3 billion barrels of oil and 22 CF of gas. So a

113:14 , very prominent oil shale oil play in Texas. And then we move

113:21 to the east coast, the Marcellus Utica, very big shale gas plays

113:26 , although not in New York. again, you can see that the

113:34 pretty much end right at the boundary New York and not sure what state

113:41 is maybe Pennsylvania. Um again, estimate of resource in place and wildly

113:52 estimates of recoverable reserves with current Um 143 million barrels of oil in

114:00 where we're not in the gas 87.1 TCF uh potentially. Uh And

114:09 again is the Energy Information Agency, the Oil and Gas Journal estimates 100

114:16 41 TCF of gas and they clearly not do any work to estimate what

114:22 oil reserves would be in the Marcellus the Utica, New Albany is down

114:29 . Antrim was another early play uh Michigan but not nearly as prolific as

114:35 of these others. So if we at estimates just in general of global

114:41 for shale reservoirs, uh in terms shale oil, you see that Russia

114:48 the highest estimated resource, United States too far behind. And second with

114:55 third, Argentina Libya, you can that as well as I can.

114:59 the total estimated worldwide reserves in billion of shale oil is 345 billion.

115:06 contrast to that, you can see China is far and away, estimated

115:11 have the highest uh shale gas uh with the world total being 7300 trillion

115:22 feet of gas from shale red All right. So we've looked

115:30 we've seen where these things are um actually did the source rocks form and

115:37 can look at world source rock distribution deposition through geologic time. And it's

115:43 a function of several intersecting parameters. in general need to have a restricted

115:51 , meaning I don't have connectivity to open marine setting. Uh And that

115:58 would mean that in that case, don't get a lot of mixing vertically

116:01 the water column. And that would that I would tend to have an

116:06 minimum zone developed with an invasive uh level is also important, high nutrient

116:13 . So, off the west coast the US and other continents, we

116:17 nutrient upwelling that organic material causes local blooms, things like that, the

116:24 take oxygen out of the water column then as they decay, there's nothing

116:28 oxidize them, they fall to the floor, they generate this oxygen minimum

116:34 um and are preserved in the sea . Sediment sedimentation rate is also

116:43 We don't want a lot of terrestrial in these regions because that's just gonna

116:48 in a bunch of organic material from and land plants that don't generate anything

116:53 a little bit of gas. And finally, if we have sea level

116:57 superimposed on this, this kind of all of these other, the

117:03 the nutrient levels um and reduces the rate into the deeper parts of

117:12 So if we look at time when things have coincided in general, we

117:17 that there are certain regions of the time scale where we have most of

117:23 known formations. And a lot of are North American. I do have

117:28 little bit of diversity here in terms Europe, the North Sea and South

117:34 . But even in when I look Chinese uh formations, they tend to

117:39 in the same time zones if you . So the upper Devonian to lower

117:46 there, in terms of us, or formations, we have the

117:50 the Barnett and the Marcellus, of , in the Pennsylvanian, we have

117:55 wolf camp in the Jurassic. Uh upper Jurassic is the North Sea Krage

118:02 . The source pretty much of all the hydrocarbons in the North Sea,

118:07 not all but a lot of them , very, extremely rich uh source

118:13 . The Hainesville is also in the Jurassic in terms of the upper

118:19 Here, we have the Vaca Muerta Argentina, uh the Eagle Ford and

118:24 Narea and then in the late Uh an example, there would be

118:28 Monterey, all right. So basically deposition of a source rock and the

118:36 of the organic material, as we said is a complex function of basin

118:42 . So usually we're looking at some of either a an extensional margin,

118:47 could have a convergent margin setting where have a barred basin um that generates

118:54 restriction. So we need restriction is thing that we need. Um if

118:59 superpose a sea level rise on that we are located in a position such

119:08 we're in the rain shadow of whatever system. Um In other words,

119:14 don't want a lot of terrestrial input line. So low sedimentation rate um

119:21 combined with nutrient availability um will give the conditions that we need. And

119:28 lot of these, the nutrient availability been shown to be related to what

119:32 call super plume events, which are anybody know what those are basically rapid

119:38 four split sea floor spreading episodes um the world ocean. Ah and look

119:47 it is. So when sea sea floor spreading rates are high,

119:56 tend to have enhanced production of organic in the water column. Uh

120:02 because so much CO2 is actually being essentially belched into the water column with

120:10 oceanic lava. Um These tend to oceanic anoxic events or O AES uh

120:20 or super greenhouse events as happened in Mesozoic and then organic matter is then

120:27 by that anoxia on the sea And then we get accumulation of organic

120:33 sediment. So I like to show to engineers because they much less of

120:43 familiarity with geologic time than geologists So I always like to point

120:48 OK, here's earth history, here's that we're not talking about. And

120:55 little essentially blip right here is the AO Zoic and this is where we're

121:00 be looking for our source rocks. you can see here the number of

121:04 flu super plume events that have happened the last 500,000 years. All

121:12 So anybody ever heard about a model a deposition of organic rich sediments?

121:22 one very prominent basin that figures quite . It's the Black Sea. The

121:31 Sea is a permanently stratified deep incoming sediment from surrounding areas. Freshwater

121:42 density stays on top of a much density, high salinity and fairly

121:50 So, therefore more dense, deeper of water. So they don't

121:54 So there's no oxygen going from shallow deep. There's no set bottom seeking

122:00 going from shallow to deep. And what happens is all of the organisms

122:06 live in that water column when they , they settle to the bottom of

122:10 black seed and are preserved as sedimentary material. I had a friend who

122:17 on a like an ocean drilling trip they went to the Black Sea.

122:23 she said that the sediment at the water interfaith, you could pick it

122:28 and it was like anybody ever let rot in their vegetable drawer at

122:34 And then you get kind of this gooey stuff. That's kind of what

122:40 bottom sediment in the Black Sea is . It is this slimy gooey decaying

122:46 debris, basically, mostly comprised of material. But how many black seeds

122:55 there in the entire planet today? , thank you, Doctor Myers.

123:01 that cannot be the only place where make these things. So where else

123:06 we make them? Um This is example, as I mentioned previously about

123:12 that's more like the um uh this is the, I don't know

123:17 my western continental shelf and I don't that one here, but here we

123:22 a restricted shelf. So I've got carbonate reef system here. I've got

123:27 , a back reef system. I've , I do have some terrestrial

123:32 but it gets trapped very close to . And so I have this shallow

123:37 shelf on a carbonate margin where I a lagoon set up and those lagoons

123:44 to be, there's high productivity that material sucks all the oxygen out of

123:49 water column. And so we get matter preservation here. You can also

123:57 restricted deeper water rifted basins. Um again, like I mentioned previously,

124:04 upwelling western continental margins. All of tend to have the occurrence of organic

124:13 shales. It's because I've got it deep rifted basin. That means I'm

124:21 getting open communication with the marine environment sets up a local stratified water column

124:30 just like we had discussed previously. that is what allows us to get

124:36 in the water column, which is we have to have if we want

124:39 preserve the organic material during deposition. . So if I want to have

124:49 successful source rock or mud rock there are a number of parameters that

124:54 have to consider. Ok. Um first one of these is depth.

125:00 , there's a couple of reasons why would be important. And you think

125:04 one. Well, I've got to it hot enough to have generated hydrocarbons

125:20 one. So it has to be other thing is is that the deeper

125:23 go, the more expensive my well are so and that economic risk is

125:31 the biggest one. So I'm kind balancing. So in a lot of

125:35 basins, right? Those things have buried more deeply and now they're

125:39 for example. So that would enhance pressure. That would take something that

125:45 at a higher thermal maturity, bring shallower so that I don't have to

125:49 as much money drilling it. Um those, those two components are pretty

125:55 , the depth and the fluid the thickness I'm gonna be drilling along

126:02 . I need to stay in the . I would like to have it

126:05 thick, an accumulation of organic rich as possible because I'm not only gonna

126:11 a long lateral, I'm gonna frack , right. So I would like

126:14 to be thick and have nice organic rich properties through that whole thickness.

126:21 then of course, I need the . Where is that saturation occurring?

126:28 saturation is actually when we're producing from unconventional reservoir, we are producing from

126:35 in the organic material itself. So saturation is going to be directly tied

126:42 how much organic matter I have. I have to have a high toc

126:48 organic content. That toc has to the right type. Obviously, if

126:53 have a terrestrial coal, if gas what I'm looking for, I could

126:58 some gas in a terrestrial coal. I want oil or lighter hydrocarbons,

127:03 going to have to have a marine uh of organic material and it has

127:11 also be thermally mature. And then course, I need to have

127:17 Uh Obviously, we know we don't very much permeability. Anybody have an

127:22 about the range of permeability in shale . I know you. All

127:28 So sandstones, you guys were just at some sandstones, did they calculate

127:32 perm on those on their saturation? function right? An anybody got a

127:39 for permeability of sandstone in Miller I know it. Ok, Doctor

127:47 . Give me affirm your ability, ? You called on me?

127:52 I'm calling on you. I I just said that work.

128:04 Yeah. So Miller Darcy to Darcy perme ail in these reservoirs typically on

128:11 nano Darcy range. Although there is argument about that. Some people when

128:15 measure it, say at Darcy, what, 10 to the minus 12

128:24 and the is 18. OK. really, really, really impermeable.

128:30 that's why we got to frack All right. So we're really mostly

128:33 in what's the porosity, the porosity on all of our work is associated

128:40 the organic material. So we need have toc if we have toc and

128:44 right ma maturity, we will have , right? We also are interested

128:50 the mineralogy uh for two reasons. , if I have the right

128:56 I might have early cement precipitation that's to inhibit the mechanical compaction of this

129:05 as I bury it. All So, since anybody have a

129:11 how much uh ferocity do we tend lose in a sandstone from compaction,

129:17 say we started at 40%. how well you can get pretty damn

129:27 just due to compaction though this mechanical . If we start at 40% maybe

129:33 get down to 25 20 to 25% porosity depending on. Obviously, we

129:42 in a well sorted SAN, Um And then cementation of some sort

129:50 other would reduce further. Now, can have actually inter granular pressure solution

129:57 chemical compaction. Those sands are really, really low prostate. All

130:02 . Um However, if we have cementation, not too much of

130:08 just a little bit, it stops sand from compacting in a similar

130:14 it stops the shales from compacting. we lose an average 50% of our

130:21 just due to mechanical compaction. If can stop that, we will preserve

130:26 porosity for our our desired uh shale . So, early cementation is good

130:36 that. Also what's more uh brittle frable? Something that's cemented or something

130:44 not cemented. Yeah, cemented. that early cementation also enhances my

130:53 So I get a bonus from that two reasons in it inhibits compaction,

131:01 my formation more frable. And then course, we have to be aware

131:06 the structure of the basin. Present . Has there been faulting? What's

131:11 present and past stress regime? Because , if I'm gonna frack something,

131:16 need to open that frack against the horizontal stress in the basin. So

131:22 need to know what the stress orientations . All right. So anybody got

131:30 idea what this is. I know do, you just saw this

131:35 This is actually anybody ever heard of focused imb messy ma fib. So

131:43 what that instrument does is it you mill the surface. You take a

131:49 of the surface, the ion mill on the order of 5 to 8

131:56 of material. You take another picture , ion mill off another 8 to

132:01 nanometers. You take another picture, do that thousands of times you put

132:05 stack together and you get a pseudo volume of the poor system, the

132:12 material and the rock frame of your . Very cool, very expensive.

132:19 problem is that this is 20 microns 20 microns, by six microns in

132:25 costs about $15,000 to generate. And got no idea how representative it

132:31 but it's cool. This was very early on. People still do pay

132:36 do it. Um I, I'm sure if it's still as popular as

132:41 used to be. I shall I responsible for trying to build a model

132:49 how ferocity and shale reservoirs uh varies a function of burial history and thermo

132:57 . And basically, and we, were looking at this to potentially model

133:03 in these things. It's just not representative elementary volume of the material.

133:10 we stopped generating them. I don't . Can anybody see that? It's

133:14 dark, if you could see you would see that there are two

133:17 squares, one here and one a little square here, a little

133:26 here and then there's two little rectangles stick out of those little squares,

133:32 two little rectangles are actually where two volumes were generated. So two of

133:38 3d stacks in a shale reservoir. cool is I get about five nanometers

133:45 pixel resolution. The problem is they're next to each other, their organic

133:51 content, their porosity, the relative , everything was so different. We

133:57 , how the heck do you upscale ? So if someone tries to sell

134:01 this, that is a very valid that you should ask them. Um

134:06 sure they'll tell you that they But we at shell, we went

134:11 from this technique because we did not how we could upscale. All

134:19 then we have here, I've got some two D images uh from each

134:25 these regions. Well, from one these regions, this is what it

134:29 like in thin section. So in standard sem imaging, I've got about

134:34 nanometers per pixel resolution in a transmitted image. I've got about 0.11 microns

134:41 pixel. So all of these are for MS, they're very large as

134:46 as for MS go. That tells I had a lot of oxygen in

134:50 water column at this time. I have these ploys here. This is

134:56 all the porosity is in this This is the eagle bird, by

135:00 way. And um these very large plods also tell me that there was

135:06 in the water column having said that are still some strands of primary marine

135:15 that survive uh deposition and burial. And we're gonna look at those,

135:20 think, I don't know, I know if we're gonna look at any

135:23 images of those or not. before we generated this suite of

135:32 we had AC T scan of a plug. So you can see how

135:36 variable. So these are, these dark and light regions are a function

135:40 density. So the density of the is changing quite frequently across here.

135:47 is a a fracture that we generated we acquired the core plug, um

135:55 dark regions, the dark lamination other this fracture are rich in organic

136:03 The brighter the region is it's either porous or it has more carbonate content

136:09 both. So that's what we're looking here in the SCM. Here we

136:14 looking at a transmitted light image of end trim from this core plug.

136:19 here we're looking at a reflected light of a wafer that we ion

136:25 So we ion milled the whole surface a one inch core plug so that

136:29 could go in and do sem What we did further was we identified

136:35 lamination types. And then we generated area two D image mosaics in each

136:41 those lamination types to characterize them in of mineralogy, toc uh porosity,

136:48 cetera. And so this green circle is in this lamina. And this

136:56 section is also taken from this one . So you can see that if

137:01 get one picture of this thing, really got no idea what the heck

137:05 going on because this lamination is extremely . So one of the things we

137:12 is we took large area image mosaic each lamination type, we estimated the

137:20 percent of each lamination type in the . And we upscaled those properties to

137:26 core plug scale. So we were to say, OK, this core

137:33 that has this average gray scale so we could tie it to the whole

137:38 CT scan has this much toc and much porosity since those are two of

137:44 principal things that we're interested in, course, that three, that 3

137:51 or 1 m of core is from base of a formation that's 100 m

137:56 and the map of the occurrence of Eagle Ford. Uh this the extent

138:02 that is on the order of 100 . So how do we take this

138:08 of observation and make it relevant at scale? And we're not gonna do

138:14 here. This is from a different , but we do need ultimately to

138:21 able to take all of these scales observation and understand how these properties are

138:26 on a basin scale. So we're our, well, we're going to

138:36 our, well, so where does data come from? I actually really

138:41 this because it puts a lot of logging tools into context. This is

138:47 of the society of Petro physicists and , log analysts. So let's

138:52 let's start ladder log tool and my induction tool they see 8 to 10

139:01 into the formation from the borehole. I do an RFT or an

139:07 I'm also getting fluids from around 9 into the borehole most of the

139:14 What am I actually running? I'm a borehole sens acoustic lock which sees

139:21 four inches into the formation. Maybe running uh a compensated neutron log and

139:29 gamma ray that he may be almost foot into the formation. I'm running

139:34 litho density tool. I see maybe or six inches into the formation and

139:43 I am, here's my microspheres So that sees, you know,

139:50 , maybe an inch into the So, logging tool measurements that you're

139:58 into a little bit of context. you've got Rugose on the borehole,

140:02 you've got the borehole wash out for reason, many of the most important

140:09 tools that, that we need to for these formations aren't gonna give us

140:15 good data. So you just have keep that in. All right.

140:20 what do we want to do in unconventional reservoir? We need to assess

140:26 or not we have. I don't the term Carrigan. Anybody know what

140:29 definition of Carrigan is, we can the lights back on. It's

140:33 I don't want people to sleep through entire thing. The definition of

140:43 Huh? No, it's in Insoluble, insoluble, yes. Insoluble

140:49 material that is of detrital origin is we call carid. Most of what

140:55 organic material that is left by the we are producing from these things is

141:00 Kogen. But because that's the term is embedded in oil and gas uh

141:09 , I prefer to say just toc organic carbon rather than Carro.

141:16 if the source rock has just been , it needs to have Carro in

141:20 . But by the time I'm drilling , I hope it has very little

141:24 and mostly generated hydrocarbons. So, right. So, but I still

141:30 to know I have to get the and the TOC is gonna be very

141:35 correlated to the hydrocarbon saturated porosity. that's an important thing. Uh In

141:43 to that I need to know or able to assess the brittleness of the

141:49 because I have to rack it. . And so basically, we're gonna

141:53 looking at keratin, we're gonna talk little bit about how we might assess

141:57 maturity. And when we do that should be related to the porosity

142:03 in the organic material. Talk a bit about the brittleness of the

142:08 et cetera. Uh And you can here, we've got a category all

142:12 own for pyrite. Now, Doctor and I are coming back to around

142:21 circle that maybe some of this could be applied in unconventional reservoirs. At

142:29 we did not think so. All . So you all know these

142:33 these are Archie's equations. All And the fundamental assumption that I have

142:40 what I know. So I figured ask it again. So basically,

142:53 rock frame and any hydrocarbons are perfect . And the only thing that could

143:01 electricity, therefore, in the formation aqueous fluid. And then we've already

143:09 that with shaley Satan, right? And obviously, there's a lot more

143:16 shale in a shale reservoir than there in a sandstone. Um But based

143:23 like you said, some pre some work, we think that it's possible

143:29 the exchange sites and those have been by heavy organic molecules that water won't

143:39 no matter what ion it has in . All right. So, logging

143:47 in shale reservoirs are highly influenced by material. All right. So the

143:56 ray, typically, we think that high response in the gamma ray is

144:00 with clay minerals. However, in depositional settings, anybody here do any

144:11 uh sequence photography? No. All . So basically deep marine settings where

144:22 have very low terrestrial input and we also a sea level rise associated with

144:31 we define something called a maximum flooding . And that would be developed at

144:36 top of what we call a transgressive track. Basically, that's where uranium

144:46 to be concentrated and associated with organic . So in that depositional setting,

144:54 gamma ray could be completely dominated by associated with the organics and not have

145:04 whole heck of a lot to do the potassium and thorium in clay

145:09 We need to untangle that. All . What next? OK. So

145:16 we have a spectral, sometimes they run a spectral gamma ray. So

145:20 that case, they measure individually the to uranium thorium and potassium. If

145:26 do that, our work is done us. However, spectral gamma ray

145:30 expensive and of course, economic margins these formations are tight. So we

145:37 not run a uh a spectral or we're evaluating historical wells, we probably

145:45 have a spectral gambler. But in , marine Carrigan can be associated if

145:52 in the right setting with a high content. And again, thorium and

145:58 are typically tied to the amount of input and to clay minerals, bulk

146:05 organic material has a density if it's dense on the order of maybe 1.2

146:11 per CC, which is about half of quartz, right uh or even

146:16 little less than half that of So, bulk density is going to

146:22 very sensitive too the presence of organic . On the other hand, when

146:30 have high toc, I can frequently high pyrite concentration associated with that because

146:37 waters are so anoxic, they are we call euin, which means that

146:43 have H two s actually free H S in the water column, almost

146:49 oxygen. And we actually precipitate pyrite of seawater associated with these highly anoxic

146:58 . So, yeah, I got low density organics, but damn

147:02 I've got really high density pyrite associated it. So those two effects could

147:08 each other out potentially. All Now, the neutron tool, the

147:13 sees organics. It sees the hydrogen with organic material just like it sees

147:20 structural hydrogens in clay minerals. So neutron tool may see high toc as

147:27 higher porosity. Of course, if have gas in the pores gas is

147:32 impact both the neutron and the density . And I already mentioned that clay

147:38 also increased. The apparent neutron ferocity acoustic logs, organics and over pressures

147:47 are potentially associated with generated hydrocarbons can transit time. And then finally,

147:54 resistivity logs, there tends to be increase in resistivity with increasing toc,

148:02 that only happens up to a And then at very high thermal

148:07 the organic material itself can also become as it becomes more graphite like.

148:14 as a function of thermo maturity, influence on resistivity could also change.

148:21 right. So we're talking about gamma here. So this is just uh

148:25 is actually a really nice chart to . And again, this is from

148:28 S Lumber J chart book. It's the log density of common silicate and

148:35 phases. It's got the for two of the neutron tool. What the

148:43 neutron porosity is for each of those . Uh Here is the transit

148:48 sheer oh no compressional and sheer transit , the pe and the volumetric absorption

148:57 . Um And then we have gamma here which you'll notice all of none

149:03 these phases have a gamma ray signal with them. And then the capture

149:09 section for those gamma rays. All . Now we get to the clay

149:17 . So you can see the various mineral families over here, the

149:21 the bulk density of that material, the uh SNP or CNL ferocity

149:31 So two generations of the neutron So you can see for example that

149:37 on the newer uh generations of the tool that if we have chlorite,

149:41 got 50% ferocity seen by the neutron . Um Mo maronite can have on

149:47 order of 60% ferocity. This is inner layer water and expand ability as

149:53 as the structural water. Uh Here's pe for those various phases again.

149:59 then the gamma ray associated with each those and the gamma ray captured cross

150:04 . So just kind of a nice too old to have to know what

150:09 might expect your log responses to Ok. So here we're just what

150:16 got. This is actually a well the Woodford, we've got our caliber

150:22 here in purple, pinkish. So on the caliber, what's the condition

150:28 the well bore? See, these the things I always ask. So

150:37 here. So this is right This is probably the bit diameter.

150:42 where everything is straight up and we're in good shape down here.

150:47 got a little bit of a wash . We'd have to be careful

150:50 Uh Up here, we, we're out a little bit. So we're

150:54 have to be careful there with interpreting really shallow penetrating logs. OK.

151:02 , if I can't read it, don't know if you can.

151:04 So now I've got a spectral lucky me. So I've got uranium

151:10 green and I've got thorium in blue potassium in pink. So what is

151:15 thing that you notice as you go here? What's really changing as we

151:20 down the section in this particular What the green one is the

151:32 this is the total gamma over here blue. So you can see this

151:38 scaled from 0 to 300 what we API units. OK. So the

151:44 ray went so high that it had come back and now it's wrapped around

151:48 it's in light blue. So now light blue is going from 300 to

151:54 API E. All right, that's you read it when the signal

152:00 OK. And here is the the uranium signal is in P

152:06 the potassium signal is in weight The thorium signal is also in P

152:11 . So you can see that in particular case where my gamma ray is

152:15 600 my uranium P PM looks like almost at 60 right? So I

152:22 see that this increase in the uranium in the gamma ray here is all

152:27 this uranium signal. I've got pretty a constant clay content as I go

152:33 here. Um But I wouldn't know if I didn't have this spectral

152:39 right? Then I've got my resistivity . I've got density and neutron

152:47 So if I were to look at and say, OK, where do

152:50 have the highest play content relative looking my density and neutron tools? So

152:58 neutron porosity is looking like it's close about 40% here. The bulk

153:04 I'm having a hard time reading But how realistic do you think this

153:11 45% ferocity is it's a shale, the way, right? So this

153:22 , this is all about, I so many clays in here. This

153:27 one of the first things I look when I see this big crossover and

153:32 not gas. This time, the neutron crossover here is telling me if

153:38 need to pick a background shale to these logs, I would pick it

153:43 where my neutron ferocity is very high to what I would estimate for density

153:50 . So this is my background shale region in here, they're essentially laying

153:56 on top of each other. Uh is the start of my source rock

154:01 , right? So my very high toc there's maybe a little bit more

154:07 content here in this zone than there here. So, and then there's

154:12 clay here based on that relationship between neutron and density. So if I

154:17 gonna pick regions in this zone where wanted to put a frack, I'd

154:22 wanna put it here and here and the region where I had more

154:31 So just looking at the gamma ray the density neutron and give us a

154:37 lot of information about TOC which of , we gotta have. All

154:45 Uh and brittleness. So that's why spend time looking at the gamma ray

154:52 here. Completely different from, I , if you were in a sandstone

154:57 a limestone, which one would which interval on the gamma ray would

155:00 be most interested in here? gamma or cold gamma, the

155:12 So you'd be looking here. Oh it's a limestone. Oh It looks

155:16 a limestone. So maybe this is carbonate reservoir, right. This is

155:21 , where I would be looking if were in a conventional setting here,

155:25 looking at this very, very, hot gamma. All right. So

155:33 Schlumberger tools, you know, I know if you guys knew that the

155:39 uh calibration site for the gamma ray somewhere on U of H campus.

155:44 . What they did is they had cement line borehole and they doped the

155:50 at various depths with different amounts of . Uranium and thorium eight inch

155:58 They logged the cement lined borehole. knew the position of each of those

156:04 changes. They measured the gamma ray and that's how they came up with

156:10 we call the API units. And equation which is how we could estimate

156:15 total gamma ray if we know thorium in P PM, uranium concentration in

156:23 PM and weight percent potassium. So total gamma ray is given by this

156:31 . So if I have a spectral ray, I can back out how

156:36 of that gamma ray signal is from and the uranium is most likely associated

156:48 , with what organic? Yeah. if I back this stuff out,

156:55 can then OK, what's my And I can calculate my sale index

157:03 , which is the gamma ray in zone of interest minus the minimum gamma

157:09 on the log divided by um the ray of my background. Shale minus

157:17 minimum gamma ray. Yeah. And I can calculate a shale index.

157:22 I'm not sure if this is the slide problem with the shale index is

157:27 tends to overestimate clay content. So get a little further in the

157:32 There are a couple of additional relationships allow us to take the sale index

157:39 calculated from the gamma ray and correct . So what they did was they

157:44 shale index. They did X ray analysis. They're like, hey,

157:49 , the clay minerals in here don't with this. So they developed relationships

157:54 corrected the sale index from the gamma calculated this way to clay mineral

158:00 which is what we're really interested Why would that be, what else

158:07 potassium and thorium been besides clays? , there's other men of feldspar.

158:20 any kind of uh lots of heavy have those two elements associated with

158:25 especially heavy elements, heavy minerals have thorium associated with them. So,

158:30 , there are other mineral components that potassium and thorium. And that's why

158:35 I just take that as a shale , I tend to overestimate the volume

158:41 clay. Did you have a It's um I don't know that there's

158:56 particular uh cut off for that. I said, usually for a source

159:01 , we wanna have at least two is on the order of four.

159:10 most of these like I've done a of work in the uh Eagle for

159:15 10 12% organic carbon at low thermal . So, uh but that's not

159:24 . And again, that's 8%. we, we typically double that because

159:28 the density if we assume a carri density of 1.2. And our cor

159:34 is 2.65. So we should actually bump it up a little bit more

159:39 that. And a good shale background density should be on the order of

159:47 uh grams per CC. If you're look to pick a background sale,

159:51 talk about that a little more. right. So this is um these

159:59 are, they did this work uh part of the Gas Research Institute on

160:04 shales. Uh This is actually a good paper if you go look it

160:08 , a lot of the analysis that currently do is based on papers by

160:15 and Leffel. Um So it's, worth looking up, but basically what

160:21 found was a relationship between the volume Kogen which is shown here on this

160:27 . Uh and the P PM log pm of uranium on the X

160:34 So if I know if I have and I was deposited in the right

160:42 , so that uranium corresponds with TOC can estimate the volume of Carro in

160:48 this relationship. No, how do get toc from the gamma ray log

161:02 I don't have a spectral gamma. basically, it has been noted that

161:10 a linear dependence when we have significant of the gamma ray on TOC.

161:17 so the TOC is M or the of the gamma ray uh toc weight

161:24 plot if we have one mgr plus where B is the gamma ray intercepted

161:30 toc. So what do I have have here? I gotta have a

161:34 of TOC measurements. And the gamma log, I may not always have

161:39 , especially if I'm going into a area and drilling for the first

161:45 Uh Unfortunately, there's not one portable for this. So again, local

161:50 would be required. And the reason this doesn't work out all that well

161:56 is that the amount of uranium that's with TOC varies within and among

162:03 And it depends where you are in depositional setting. As I said

162:07 we wanna be near a maximum flooding . Uh So the top of a

162:12 systems tract or the base of a stand systems tract in sequence photography

162:18 Um as we move up in the stand systems track more and more detrital

162:24 from the continents is being added to system so that uranium signal goes

162:30 even if I have uh a high and that's part of the problem.

162:37 this is um um data from Plumber that shows for a number of different

162:46 , what the relationship is between the ray API and COC. It also

162:51 tell me what thermo maturity this is either. Right. So I really

162:55 know a lot about this. I know what formations these are, I

163:00 know their thermo maturity. I don't , um a depositional setting or anything

163:06 that. But you can see that most of them except for this blue

163:10 , which kind of goes counter to , there tends to be a fairly

163:14 relationship. If we got rid of blue points, those outliers would probably

163:18 a lot better art squared. These should have done some data analytics,

163:22 know, throw out the points that matter. Right. Doctor Myers there

163:27 the points that don't agree. I you don't like that. I think

163:30 teacher is. All right. So Macker took a different approach. Uh

163:41 a good paper if you're interested in this stuff up. And he proposed

163:45 different methodology for getting TOC from the ray log. So he's got the

163:51 percent of TOC is the background gamma minus the gamma ray in my zone

163:58 interest divided by this constant times A A is the slope of the cross

164:05 between the gamma ray intensity and the density. All right. So one

164:10 I'm assuming here is I've just got standard gamma ray. I don't have

164:14 spectral. So I don't know uranium . So the first thing I'm gonna

164:19 is I'm gonna take my log data I'm gonna look for a relationship between

164:23 ray and bulk density. So so remember when we were looking at

164:32 log curves in the Woodford, I , OK, my background shale is

164:37 be here where I have essentially the organic content based on the gamma and

164:46 have the highest clay content based on separation between my neutron and bulk density

164:54 . So in any type of this , we're gonna try to pick a

164:58 shale out of the section. So I would just use this as

165:02 background shale gamma ray. OK. here is a plot in a particular

165:15 , uh showing bulk density versus camera they've got a calculated regression. They

165:22 tell us what the regression is, it looks pretty good, you

165:26 So this is a case where I use this relationship to give me an

165:34 of to c in the formation. this shows the distribution of total organic

165:44 calculated using their um their methodology plotted a core determination. And in

165:57 it looks pretty good. So overall too bad of a relationship,

166:06 if we can see this going we should do a pretty decent job

166:13 estimating toc and this kind of a just using the gamma ray.

166:19 of course, we're also using the here as well. And we care

166:27 getting the TOC right, because that is where the pores are, that

166:32 saturated with hydrocarbons in these formations. the TOC is gonna largely control the

166:41 of the prize if you will. . Yeah. Well, they,

166:57 mean, no, they, these really old wells. Yeah.

167:05 I'm not sure that anyone has actually it with both methods. Um

167:12 it would be. Um but, probably someone had, but again,

167:17 can't remember what year this paper was . 81. We certainly were not

167:24 of shales as reservoirs at this we were looking for a source

167:28 That's all we were looking for. And probably, and obviously they related

167:34 to local measurements of TOC. Um not nowadays, even though we don't

167:43 a spectral we're gonna have in our log data from the well site.

167:49 we actually collect cuttings God willing we . Uh but it's expensive. So

167:54 we don't um you're gonna have bulk data that bulk chemical data will give

168:00 a uranium signal. So that's another that you could validate it without a

168:09 . OK. Another way of estimating was proposed by Quinn Passy and others

168:17 Exxon in 1990. Uh And it's the Delta Laar method and it is

168:26 an improvement over the basic gamma ray bulk density estimation for TOC. So

168:33 was based on two key observations, transit time like the bulk density is

168:39 function of organic matter content resistivity increases thermo maturity increases. So if we

168:49 the logs appropriately and look at the separation between the transit time and the

168:56 resistivity that should be related to And they did in fact prove that

169:01 was related to TOC. So here appropriately scaled logs. So here's my

169:10 ray just got a B uh bulk ray now no um estimate of uranium

169:18 . Um This is geochemical analysis from in that uh zone. So we've

169:27 you guys know anything about rocky valve , huh? OK. So S

169:36 is the, that's as one is generated as two is potential. So

169:47 is the potential generated hydrocarbons and then is the estimated toc and measured

169:55 OK. Uh So clearly you can that the top of this unit

170:01 although we've got something happening here as and we see a little bit of

170:08 . So the sonic is shown in dash curve and the resistivity in the

170:14 curve. And the separation between these lines is related to the TOC.

170:22 this separation is what we call the Lager. I kind of agreed especially

170:27 the top here with the maximum excursion the gamma ray. So basically to

170:35 this appropriately one resistivity log cycle has be set equal to 50 microseconds per

170:42 of transit time. And when you the two logs on top of one

170:47 with those scales, this is when appropriate to make this delta log R

170:56 . The cool thing is OK. here you noticed it was with Sonic

171:01 thing is you can do it with ferocity tool. So you can also

171:04 a delta log our measurement with the tool. And with the neutron

171:09 if you don't have an acoustic although it would really shock me if

171:13 did not have acoustic log. And this is the relationship between that um

171:21 transit time and the self related TOC . The neutron operate operated POC from

171:32 Lagar and this is the bulk density the calculated TOC from. So which

171:40 looks like it gives you the best . So I'm basically looking around the

171:59 bit line here. Yeah. So acoustic log is the one that does

172:05 best job. So if we have acoustic log, this is the measurement

172:10 or the estimate of TOC that we prefer to use. So we basically

172:15 measured TOC estimated toc from delta log and this is the relationship between or

172:23 transit time and measure TOC. So do we get delta log R?

172:30 how do we get um TOC from ? So the delta LR equation is

172:40 by delta LR is equal to the of the resistivity in your zone of

172:45 divided by the resistivity in a background plus 0.02 times the transit time in

172:55 zone of interest minus the transit time a background shale. And if I

173:04 this delta T resistivity separation, I be fairly confident that I have a

173:11 toc that delta LR separation is linearly to TFC if I know the maturity

173:19 if I can estimate the maturity. again, it's a function of the

173:22 maturity. And I already told you this R shale and BT Sha

173:29 So I'm looking at my zone of and a background sha and then these

173:36 similar equations for the neutron and density . So how do I get?

173:43 is the craziest thing ever? So obviously you've talked about paralysis before.

173:48 you guys have like a geo organic ? All right. Did they talk

173:52 thermo maturity and like vite reflections and that stuff? Did they talk about

173:56 level of organic metamorphism? Lom? , no. OK. So of

174:07 the methods of thermal maturity, this like the most subjective and it really

174:11 me that this is what Exxon chose use as their estimate of thermal

174:16 We'll look at what it's based on you can tell me how subjective or

174:20 you think it is. But basically I really want is toc, so

174:25 need to get TOC from Delta Lard this is the equation that I use

174:30 that. So this is the separation the logs and then I've got 10

174:35 to this power for this lom is degree of uh organic metamorphism. So

174:42 is basically somehow related to vite reflectance thermo maturity. All right. Um

174:52 so at any given delta log RT decreases as the level of organic metamorphism

175:01 . So here basically you've got a , a cross plot of delta log

175:06 and thermal maturity. So you basically your delta log R. Let's say

175:13 two, you go to your level organic metamorphism and then you can basically

175:20 the toc of the Y axis. you can see that as Lom goes

175:25 or thermo maturity goes down, your goes up. So this is how

175:33 is defined. It's basically the color the organic material varying from yellowish or

175:42 brown to slightly darker brown to dark to almost black and black.

175:49 So uh luckily if you have this scale or if you have vite

175:56 so you'll notice here. So here's of organic metamorphism. So we've got

176:02 color here, we've got a thermal index. Oh And here the Holy

176:07 vitro Night reflect its all right. if you know your ro or some

176:12 equivalent, you can estimate your level organic metamorphism way more trustworthy than trying

176:20 interpret these colors, in my Now, now with now that we've

176:24 like image analysis tools. I historically, when I was doing this

176:30 , it was all by your right? You would estimate the color

176:34 that was related to the COC. we could segment on the basis of

176:38 GB color statistics and we could actually . So nowadays, this might not

176:45 so bad, but one of the you'll notice is here, you have

176:50 isolate the organic material. And I you guys talk about how the heck

176:54 you do that? If you're gonna actually measure vite reflectance on an isolate

177:02 do this kind of work on an isolate? All right. So you

177:07 crush the rock up not too but you make it into small

177:12 First thing you do is you um it in HCLHCL will get rid of

177:19 the carbonates when all the carbonates are , you put it in HFHF will

177:26 rid of the silicates at the What you'll have left is pyrite and

177:32 organic residue. And historically, we made our Miron reflected slides out of

177:38 . We said, OK, that's we care about. We're not gonna

177:41 about getting rid of the pyrite. if you then took that and did

177:46 heavy liquid separation on it, you actually get the pyrite out as well

177:50 there are other chemicals that will actually the pyro. But um it,

177:59 , it's a lot of work to the organic material. OK. So

178:07 can also estimate lom from other All right. So here's my s

178:12 peak. All right. So milligrams hydrocarbons per gram of rock. So

178:18 say my S two peak has a of 40. Um Then I would

178:24 over here to whatever my lom value and then read the toc of the

178:29 axis. Uh You can see though uh there's a lot more variability for

178:36 type two pyrogen than there is for type three pyrogen. And so here

178:40 really just the only possibility we have is to have a acid stimulation.

178:49 was published in Crane's Petro Physicals Actually a really interesting and good

178:55 You can purchase it pretty cheaply on internet if you're interested. Um You

179:01 look at their website. So basically they did is they related level of

179:06 metamorphism to Vitron Night reflectance. So curve was from Hood in 1975 and

179:14 they made a fit to it or the, it's not a curve but

179:20 , the blue measurements are actual measurements organics. There's a polynomial fit from

179:26 75 and then this is their So, uh if you know vite

179:32 or can estimate it from what if did paralysis, what work can you

179:41 the an estimate of ro from paralysis from what, what do you use

179:49 T max? Which is the temperature which your S two peak reaches its

179:54 . All right, there's a lot hair on that relationship. It's got

179:58 , there's a lot of variability but got ways we can estimate RO,

180:03 we can estimate RO, we can to an LOM. If we

180:07 if we can get to an we can use delta log R to

180:11 TOC. So here is a TOC . Um I believe this is from

180:22 acoustic. Yeah, this is from sonic. So we've got the TOC

180:29 the sonic, we've got the gamma and then uh measured TOC from

180:38 And in general, there's a pretty relationship between the TOC estimated from delta

180:45 and that measured in the lab. in addition to that tends to follow

180:50 gamma ray pretty well. No, problem with TOC estimates in the density

180:56 we already talked about this. We have fac issues or breakout issues that's

181:02 cause some error. Um The toc the gamma ray as well is influenced

181:09 the depositional environment. So we need have this anoxia, we need to

181:13 in the transgressive systems tract at the at the maximum flooding surface. Uh

181:20 even if the TOC value is the at the TST and the top of

181:24 HST sorry uh transgressive systems track high systems track up here. I have

181:31 lot more terrestrial input so I could terrestrial organic material. And so I

181:38 have a, a high toc but , I don't have the uranium

181:44 So my gamma ray is not gonna . So we just have to be

181:47 with that. And then the only here is that we gotta have some

181:51 of thermal maturity. So here's the for K from that. Um Not

182:05 I can't read the actually here. But this is the delta L RT

182:12 uh with a mean of 5.2% and standard D VA then of 1.5%.

182:18 is probably again from the acoustic Uh And I have 374 individual estimates

182:25 TOC. In contrast, here's le data. So this is what I

182:31 in the lab. I have a of 505 volume percent, which is

182:36 pretty close to what I estimated from log a standard deviation though that's a

182:42 higher about 2.2 but I only have measurements. So this gives me a

182:49 more robust estimate of the toc. I can probably afford to do the

182:58 for in the lab. OK. into estimating play content. Uh why

183:08 we care about play content? I a racket plays are ductile lay means

183:21 can't crack it. So that's why care. So we're gonna go back

183:27 our calculation of the shale index. If we just use uh the gamma

183:33 shale index. That means that this the gamma ray measured in my zone

183:37 interest minus the minimum divided by the value of the gamma ray minus the

183:45 value. Um And that approach assumes the gamma ray max is only about

183:53 content, which we're hoping it's not our particular case, right? So

183:59 we figure out a way to estimate content and back the uranium out or

184:05 gonna have a problem of buying the ray. So if we don't have

184:11 spectral gamma ray, how do we between these two? So one workaround

184:20 we can try to use Smacker's If we see a correlation between bulk

184:26 and the gamma ray intensity, then assume that the lowest gamma ray is

184:31 background shale value. Or if we density neutron data, we can look

184:36 the biggest spread in the density Um We do have to be careful

184:42 this case, the um lowest gamma associated with this could be carbonates.

184:50 we we have to be a bit . Uh usually a good background density

184:57 a background shale is about 267, over 27 is probably a carbonate.

185:04 just keep that in mind. All . So there are several relationships then

185:12 I get my shale index, how I get play content? So the

185:18 thing is that V shale equals the ray index. And that would be

185:22 wrong, but a lot of people it, then there are three other

185:25 . The clavier method shown here, steer and the Bateman, which basically

185:32 a gamma ray index factor that basically the Bateman equation to vary between the

185:39 and the cyber relationships. OK. here is a comparison of the true

185:50 of shale uh with the gamma ray um and how we would estimate the

185:59 of shale using these various parameters. what we found was when we used

186:04 ray diffraction or ftir mineralogy, this model which is just assuming that the

186:13 is the gamma ray index way overestimates sale volume. Hence, we end

186:19 with pavier and steer which do estimate shale volume that is dramatically lower than

186:27 linear relationship. So it's always better be conservative. Um And so

186:35 we would use either the clavier or cyber model to estimate clay content or

186:40 take an average between the two, like that rather than this linear relationship

186:45 has been found to universally overestimate clay . So basically, if I know

186:53 gamma ray index, I would just up to whichever one of these

186:58 So you can see that here, say I have a gamma ray index

187:01 60. If I use obviously the , I would say I had 60%

187:07 volume based on Claudia, I would 40% shale or clay volume. And

187:18 on uh cyber, I would have the order of maybe 34% shale

187:25 So that's almost a 50% decrease in estimate of play content. And in

187:32 case, I'm, you know, if I'm up in this region.

187:36 I use this, I'm probably not to attempt to crack. If I'm

187:39 here based on this, I might try to crack. So it's,

187:46 important to know. Um And to one of these two estimates, which

187:52 far better than just assuming the linear . Now, I can also estimate

188:02 we already kind of looked at this looking at the separation on density

188:08 If I have both density and neutron my logs as ferocity, then I

188:16 use this relationship here to get the volume from the density neutron. And

188:23 may actually give me a better estimate , of, of clay contents than

188:29 gamma ray relationship. So we should at multiple estimates of the same

188:35 Uh And of course, if we the same answer, we, we

188:38 a nice warm fuzzy feeling. If don't, we then need to look

188:42 which one we think is the most . And if I don't have my

188:47 data, both in terms of I can use these very long uh

188:55 where the volume of shale is A B. Uh And so matrix is

189:03 neutron. This matrix refers to the matrix. So this is the neutron

189:09 in the matrix. This is the porosity in my zone of interest.

189:14 is the density in the matrix density the fluid. Um Yeah. And

189:21 , that's basically all of the parameters we've listed here. This is the

189:25 density from the log measurement. that's the, I've defined all the

189:36 . OK. All right. So this probably tells us is especially if

189:46 don't have a spectral gamma or I need to estimate shale or clay

189:51 content. But it can be Uh The organic material impacts all of

189:57 logging tools that we use to estimate shale volume. Uranium impacts the gamma

190:03 . The hydrogen associated with organics is by the neutron tool and the low

190:08 of the organics impacts the density So one work around here is to

190:15 density versus gamma ray. If we a relationship, use the gamma ray

190:21 to estimate toc use the observed. that case, we can use the

190:27 uranium toc relationship to estimate the uranium of the shale. Then use the

190:34 equation. Uh that describes the influence uranium, potassium and thorium on the

190:41 of the gamma ray to remove the of the uranium and then calculate the

190:46 index just using the potassium and And even then, we would probably

190:53 want to use either the cyber or clavier model. So here's an example

191:00 attempting to do that. So I'm at two points, I'm looking at

191:04 A and point B I think this B, I'm not really sure anymore

191:10 one is, which I know A here. B is a little

191:14 It's one of these points. All . So again, the total,

191:19 toc in a volume percent is the gamma ray minus the gamma ray in

191:25 zone of interest over 1.378 times the of this line. OK. So

191:33 point A, my toc is 1 minus 2, 25 divided by this

191:43 times these numbers, you can read as well as I can. What

191:47 I end up with? I get volume percent of POC and for point

191:54 I get 15.2% uh toc. Now go to this relationship and I estimate

192:03 content, I've got my volume percent Carro in. So I can just

192:06 this relationship to get uranium in P . Then I can enter the gamma

192:12 equation removing the uranium and get the ray signal solely associated with thorium and

192:21 . And then I can calculate the ray index using that. So the

192:28 ray minimum is gonna be used a clay free formation like a limestone or

192:34 . This is my background shale. And this is my result of interest

192:40 now I have the gamma ray, log minus you. OK? For

192:47 A, I got a gamma ray of 0.95 and four point B I

192:54 a gamma ray index of 0.57. Of course, that's the maximum value

193:00 could be. Uh So I would not use the linear relationship.

193:08 sorry. So basically, this works to about 85% clay. When I

193:14 either clavier or cyber, this works to be on the order of 30

193:23 using those other models. So given , where would I want a

193:39 So if I go back to even here, I still have a

193:45 clay volume. So it's only in regions where I would most likely be

193:51 to put away a really decent All right. OK. Now I

193:59 Doctor Myers talked about Sonic. I no idea what slide I'm on.

194:03 I don't know how much more I left. Um I don't know if

194:07 need to go through the operation of acoustic tool. All right, I'm

194:14 go through this then. OK. we all know how the acoustic tool

194:25 . The vertical resolution of that tool somewhere between 1.5 and 3 ft.

194:31 of course bed ignition shales varies from thick down to the millimeter scale.

194:38 any uh velocity that I measure is average of multiple layers, the particle

194:45 that's associated with the P wave is to the well bore. So in

194:50 vertical, well, I'm measuring perpendicular bedding, measuring the vertical velocity.

194:56 I'm in a horizontal well bore, measuring parallel to the betting my compressional

195:03 . And if I'm in a deviated bore, then my compressional arrival is

195:08 between vertical and bedding thing, parallel , sheer waves. On the other

195:15 , propagate perpendicular to the well bore they will actually split and propagate at

195:21 velocities in different direction directions if the is anisotropic. So basically, if

195:30 if this is the well bore I've got a vertical well bore and

195:34 I'm looking at velocities around it and are differences in the acoustic velocity,

195:42 north, south and east west from well bore, I will see my

195:47 waves split and propagate in different directions associated in velocities with that different that

195:59 isotropy um in a horizontal. the splitting looks like once your wave

196:10 going to propagate along individual bed. bedding plane parallel and the other one's

196:16 pro propagate in the vertical direction or to the bedding. This works out

196:21 be important because the anisotropy of these is huge. OK. What we

196:29 assume about a shale is that it transversely isotropic. That means that with

196:34 z axis of symmetry. So that that if I go in that circle

196:39 the way around my well bore which vertical, the velocities are the

196:45 There is no anisotropy. The major is between perpendicular tetting and parallel to

196:56 . In that case, the compressional in a horizontal well bore is given

197:01 this equation. So the square of compressional velocity in the horizontal well bore

197:07 two times the square of the sheer in the horizontal well bore minus the

197:15 of the sheer velocity um in the direction plus the square of the vertical

197:25 velocity. All right, that's just we interpret relative to whether we're moving

197:34 to the betting or perpendicular to betting parallel to it. The young's

197:40 I know you guys talked about Young's um in shale reservoirs, this e

197:47 is really variable. So the horizontal modulus is typically much greater than the

197:54 Young's modulus. And so sometimes, know, we estimate the young's modulus

198:02 . This delta ev is the horizontal the vertical Young's modulus divided by the

198:09 Young's modulus times 100. And this ev is actually related to clay

198:16 So ha ha we have another way to try and estimate clay volume using

198:21 data. And again, a large of clay implies ductal component, uh

198:27 rock, whereas small values imply So basically, this is another way

198:34 we can uh select lateral landing points a well. And we're gonna talk

198:39 how do we get this Young's modulus the acoustic data, right. So

198:46 sonic log, as doctor, did talk about all these equations? Uh

198:51 doctor Myers mentioned can be used to geom mechanical properties. I have to

198:58 sheer acoustic velocity information. And we some terms the poissant ratio is the

199:06 of the transverse to longitudinal strain. new is e transverse over E

199:15 Then we have the shear modulus which the ratio of the sheer stress for

199:19 sheer strain. So we're looking for resistance to shearing and that's at some

199:25 angle. Uh that shear modulus is to as new and it's the force

199:30 unit area divided by that angle for strains, the bulk modulus. Um

199:40 that means is that when we subject body of rock to a uniform compressive

199:45 , that stress is related to the change by this B modulus K.

199:51 it's the pressure over change in volume to the starting volume. Uh And

199:57 is the reciprocal of compressibility. And , young's modulus, which is what

200:02 were just talking about, which is resistance to linear compression or elongation is

200:08 force pit area applied uh divided by in length over the starting. So

200:18 strains, the acoustic energy that we're through the rock actually imparts a

200:24 It's very small. However, so elastic, which means it's completely restorable

200:31 there's no lasting or resulting permanent So from my sheer velocity, I

200:40 the shear modulus because I've measured the velocity. I know the density because

200:45 run a density log so I can shear modulus. Once I know shear

200:50 , I can come up here. I know the VP because I just

200:54 it, I know the sheer modulus I just estimated from the sheer

200:59 I know the density because I have density log. So I can now

201:03 the bulk modulus. Once I know bulk modulus and the sheer modulus,

201:09 can calculate the young's modulus. Uh once I know the young's modulus and

201:15 sheer modulus, I can calculate poisons . So if I have a vs

201:22 , I can go and a VP , I go through and calculate the

201:26 geom mechanical prop properties at least for small string. OK? And materials

201:36 a high Young's modulus and a low ratio are more brittle. So from

201:42 acoustic log beta, I can basically put a brittleness estimate in my borehole

201:49 figure out where is the best place try to place my breath.

201:57 Problem is sometimes I don't have sheer , right? So if I don't

202:01 sheer data, I could use analog from a nearby well and establish a

202:06 DS relationship or God forbid, he's established model for V PV S

202:14 analog. Well, obviously having a measurement best analog, well,

202:21 OK, established relationships. Now we're getting into la la Land. And

202:28 have to be careful because every formation its own relationship. And so we

202:35 to be careful applying just some sort standard model. There are a couple

202:39 standard models shown here uh from Castagna Greenberg and Castagna where VS is equal

202:46 VP over 1.16 minus 1.36 or Greenberg Castagna relationship shown here. There are

202:58 with empirical data that show the relationship pathology and the VSBP ratio. Um

203:06 in carbonates in sandstones. But here a shale value here, uh varying

203:12 0.58 to 0.65. Uh Here's another value here, this 1.56 to

203:21 So, um in general, you , if I don't have anything

203:26 maybe I try to do something like to estimate the, the mechanical

203:33 Um all of these slots that I'm you. I've given you the papers

203:37 you wanna go look this stuff And this was a relationship that was

203:43 in a shale gas reservoir where they that the increase in isotropy in Young's

203:50 was associated with increasing clay content. so again, um they didn't see

203:56 very strong relationship between Poisson's ratio and content. So in this particular

204:03 they said we're just gonna use the in Young's modulus and the anisotropy in

204:08 Young's modulus as an estimator of clay So this is another way that we

204:13 use the acoustic data to tell us about the volume of play that's

204:20 OK. And so what does the effect do? It basically increases the

204:27 horizontal stress that I have to apply initiate a fr And this effect is

204:35 by or is proportional to this relationship we have our horizontal over our vertical

204:42 uh young's modulus and our vertical over minus the horizontal croissants ratio,

204:51 So this signage min is proportional to . Uh And this is another way

204:57 we could use this data to OK. How much fluid pressure do

205:01 have to use to actually generate a in the formation? The interesting thing

205:11 acoustics. Uh You should recognize these , Doctor Myers and yours um is

205:18 in addition to the small strain properties we were just talking about laboratory measured

205:27 data, first of all agrees very with log measured acoustic data. Number

205:33 and number two, um the laboratory acoustic data is strongly related to large

205:41 properties like peak strength and things like . So this is just an example

205:47 how uh some measurements and a couple these are laying on top of each

205:52 . There's actually I think there's like or eight data points in this where

205:56 log measured uh compressional velocity um plotted the laboratory measured compressional velocity. And

206:05 can see they essentially fall along. this dash line is the 1 to

206:09 line and this is the best fit to the data. Now, this

206:18 uh where these samples came from. a bunch of these are just laminated

206:21 rocks from the Deepwater Gulf of Those are shown in blue. Uh

206:28 blue triangles. Um The purple circle a debris flow mud rock from the

206:34 of Mexico. The red triangle is calcareous mud rock from the Gulf of

206:40 . And these green squares are samples the Hainesville formation. All right.

206:45 a shale gas reservoir and what we're at here is the peak compressional strength

206:52 either this sheer or the compressional velocity the relationship observed between those two.

207:01 the peak strength of the material is strongly correlated to the acoustic properties.

207:10 in this case, I found this of interesting actually was that the peak

207:14 and compression at least was good over very broad range of properties. We

207:21 from laminated deepwater Gulf of Mexico mud to a debris flow mud rock where

207:27 the bedding was all over the place uh calcareous mud rock. I'll show

207:31 AC T scan of it. It like cement with rebar going through

207:35 And then um we have Hainesville dramatically much, much older uh and essentially

207:43 pretty close to the same trend in case. Now, we also looked

207:51 peak strength and extension or relative And here we see some differences.

207:58 here, here's our deepwater laminated mud and again, our Hainesville laying right

208:03 top of each other for the sheer compressional velocity. Uh And then we

208:11 our debris flow mud rock which I you can't really, uh yeah,

208:14 can sort of see the CT, CT, this is a core photo

208:18 it and this is the TCT scan the convoluted betting over here. And

208:24 here, my inference is that this is playing a role in the peak

208:29 and extension here because we've deformed it that. And then for the mud

208:38 , this is just um all I'm you is the high density phases going

208:43 the core plug. So these are burls that are essentially mostly going vertically

208:49 through the core plug and they are fact acting like rebar in cement and

208:55 . And that's why that one has strongest strength and extension. So

209:00 not all uh sales are created And CT scanning is a good

209:07 But for these laminated mud rocks that not deformed, we have a pretty

209:12 relationship. But I do want to out that the strength and extension is

209:17 lower than the peak strength and Doctor Myers. Do you wanna say

209:22 about that? Yeah. Again, were all made in Doctor Meyer doing

209:32 lab, these strength methods. So we can see is that the peak

209:39 is definitely related to the acoustic But as we go from formation to

209:46 , that relationship may be different. in each case, we would need

209:50 data to calibrate that uh and the that influence the acoustic log response also

209:58 our estimate of rock strength. So is an example of just looking at

210:03 between various log signals in a number sedimentary intervals in one of the rocky

210:12 basins. So we've got the lower shale, the Maori shale, the

210:18 creek shale and the Thermopolis shale. and this is the range of expected

210:26 uh below 10,000 ft from trend OK. Uh So you can see

210:33 what the range of velocities is for of those. And in general,

210:37 and content will tend to decrease the play content will also tend to decrease

210:43 silica or e especially silica cement content tend to increase it. So we

210:50 content and carbonate cement ferocity will decrease . Pre presence of gas will decrease

210:56 velocity present day overpressure will decrease it overpressure and the presence of microfracture.

211:04 all of those will tend to decrease . So the two things that really

211:07 it here are both just bulk silica or carbonate content. And my inference

211:14 is that a lot of this has do with cements of those various

211:20 Why do I say that this is example again of some work that we

211:24 way back in the day um where were looking at acoustic properties, P

211:29 S velocities as a function of um stress, sorry, here's the velocity

211:36 and the mean stress on the x . Um And we were looking at

211:40 were sandstones admittedly, but we had from 0 to 2% cement in these

211:47 , quartz cement, 2% is in noise. It's hard to even quantify

211:53 an image much less a point. standard point count, you might likely

211:58 it. OK. If you did analysis on a suite of images,

212:02 would probably see this difference. But you see here is that as a

212:06 of uh increasing cement content, we increasing velocity. And we also see

212:15 as that cement content increases the impact the mean stress also changes in terms

212:23 the effect on the acoustic properties. this is for both the compressional and

212:28 sheer properties. Now, I can tell you that for the same

212:32 we did poor volume compressibility measurements and saw the same thing as we moved

212:37 way, higher cement concentration, the strength also increased. But here is

212:45 the interesting thing that at these at small quart cement content, we see

212:53 the impact of the stress here on the compressional and fear velocities is really

213:01 to see because the cement is dominating , what would we call it?

213:11 contact modulus even at 2%. I that remarkable. Well, it,

213:21 a little, they're little. You pictures of it. They're just not

213:25 . They're right at points of grain . And so at that, those

213:29 of grain contact, it's cementing the together and enhancing the strength of the

213:39 . Oh, what time is Oh, well. Ok. You

213:44 can reduce size as well as I . This is just another pitch for

213:47 Meyer's lab where we looked at single Triax test versus multistage, multistage gives

213:55 much better results. We only need use a single core plug. We

213:59 get good estimates of elastic properties that need for food for modeling as well

214:08 good estimates of the peak strength. And then this is probably exactly the

214:13 model to use, but just an of a rock properties, a rock

214:19 model in the lab. This is more cool model. Doctor Myers.

214:23 think you prefer the cam clay Yeah. Yeah. But basically it

214:36 kind of goes to show you how would estimate various rock parameters using uh

214:43 measurements. And again, what we want is brittleness. There's a definition

214:49 brittleness here we realize we're running out . Um but basically, uh this

214:57 is probably the best thing that you do, which is a ratio of

215:01 compressive compressive strength to the tensile which is why I showed you

215:06 So these are my measures of compressive and this is my measure of,

215:10 tensile strength. That's the reason that showed that be careful of these definitions

215:19 brittleness. They are out there for , Jarvie 2007 and Wang 2009,

215:27 they are using here is bulk And I hope that at least some

215:32 what I showed you in terms of effect of cement on velocities. And

215:38 have to take my word for it I don't have the slide in

215:40 The effect of small volumes of cement strength properties that it's not just the

215:45 mineralogy, it's the origin of the that matters. So if I have

215:52 substantial amount of quartz or calcite cement here, then all bets are off

216:01 terms of, but I don't know from bulk mineralogy. Uh This would

216:05 like quartz from X ray diffraction and calcite and play from X ray

216:10 I need to know the volume of phases and I don't have that from

216:14 assumption. So just keeping that in and then this is a parent brittleness

216:21 several shales in the US. Although is a limestone, here's the

216:25 which again, really is mostly a silt stone. Here's the Woodford

216:31 um the Marcellus and the Bossier. so as we're moving from Barnett Woodford

216:40 Bossier we are basically increasing clay content decreasing the apparent brittleness. And then

216:49 are just some trends between various logging . So here's acoustic velocity versus resistivity

216:57 various uh formations. And we might these kind of relationships uh to estimate

217:06 . So probably here would be the brittle formation I have. This is

217:13 maori, I can tell you it a lot of quartz cement in

217:16 That makes sense. Uh Here, got the neutron ferocity versus the sonic

217:23 . And again, now the neutron goes up. What, what does

217:27 mean in general? Like content goes because it's seeing all the hydrogens in

217:37 clay. So again, now I'm at this one and again, it's

217:41 maori. So I can look at in various log measurements to also get

217:47 estimate of brittleness. And here the ray versus acoustics doesn't really tell me

217:56 . Uh There are also, published uh relationships between um ferocity and

218:05 or young's modulus. Uh Again, a published relationship. It's good for

218:11 it was calibrated. Other than I probably wouldn't use it. And

218:16 um we're looking at converting dynamic. in a log all the properties,

218:23 measure our small strain, we call dynamic properties. In the lab,

218:27 measure large strain properties, we call static. So how do we go

218:33 a dynamic property to a static This is one set of measurements that

218:38 of models that we could use to that and there good. OK.

218:43 of stuff in a short amount of . But again, um, very

218:47 ways that we would use the log from uh the standard tools that we

218:56 to estimate rock properties and shales as to how we would use them in

219:01 red. Yeah, gonna shut that and probably, I didn't, it's

219:46 gonna be questions or

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