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00:05 Folks. Can you see the Thank you. It's a little

00:17 I failed to give you one. people over here were saying we need

00:23 circuit, right? Honest, that's they said. I won't lie to

00:31 . Can you see the screen? . Ok. Good. Ok.

06:24 . Ok. Folks turn them in if you don't mind, let's get

06:27 in the email. Folks got about minute left. Okey dokey. We

08:09 be in the email folks by Thank you. Anybody want to give

08:28 an answer. Ok. It's the factor. Yes. Go ahead.

08:50 the fluid factor. OK. That I'll say that's good answer. That's

08:57 . And it's a hydrocarbon indicator. also tends to highlight like good reservoir

09:03 and while minimizing the the effect of hydrocarbon zones that fall along the shale

09:10 , the mud rock line. Anybody breath? OK. We,

09:37 we'll show another significance of it in lecture today. Ok. A little

09:43 different. And that's not the thing want now. Ok. Hey,

10:40 any chance do you have to see screen? Ok. Ok. Uh

11:06 six is uh attributes and that depends they depend a lot on our previous

11:19 . Ok. No, we're not fri, I, I put in

11:24 , it's, it's like a There's more in the textbook than you

11:29 cover. Um, I actually cover and the regular course, but we

11:38 more time in the regular course than do here. Even though it's supposed

11:43 be equivalent. Ours, it doesn't work out. So we just finished

11:48 and we're working on 6.1 now. on 6.1. I am sorry.

11:53 , we've uh the uh the last and three. well, we did

12:01 was four, we closed four up uh we didn't do a couple and

12:08 and skip five on the six, is our main chapter. As far

12:17 reservoir characterization, we're gonna look at attributes. A vo do some case

12:28 , quantitative interpretation. Again, Avio , conduct a phys analysis using seismic

12:39 . And so that means we will determine the processing fluid saturation and mineral

12:45 some say just Shiel shoe indicating its of different minerals. And so we

12:57 seismic petro physic analysis, seismic pathology and forth attribute by Sheriff, its

13:09 derived from seismic time, amplitude frequency or attenuation from prestack or post stack

13:18 data. And if you look on computer, now, if you have

13:28 interpretation 3D workstation, it, it has hundreds of different attributes, you

13:34 probably derive and even more than since it gives you mathematical equations,

13:41 can use to take three or four and actually put them together in some

13:47 of your mathematical mind. Now, quantitative analysis, uh the first public

13:58 I saw on qualitative attributes was at 1973. It was the same direct

14:08 symposium. Miller Corals from Petty Ray presented numerous processing attributes to enhance hydrocarbon

14:18 in response to a question about the basis of all these attributes. Mili

14:26 , then blink and I he just , we don't know yet all the

14:31 basis, but remember Penny Ray did them. So it it might sound

14:37 of comical. But the thing is lot of times we find an attribute

14:42 we're interpreting data, we don't know what it really means. But by

14:47 , it seems to work and very and we kind of stick with

14:51 Hopefully that sometime one of our folks the research will bend a little direction

14:58 our way and give us a helping or suggestion. Today, quantitative interpretation

15:06 I involves transferring attributes such as Miller's Petro physicals properties, porosity, poor

15:14 saturation, lithology, et cetera by with local crosslots trend statistics and other

15:21 , remote control. So we're using control in order to do the calibration

15:28 get seismic into the uh same resolution the WLOS reflection coefficients are mainly qualitative

15:42 attributes. Mainly they are normally converted quantitative layer attributes by inversion. And

15:51 you introduce inversion, you also introduce control, such as you give it

15:58 low frequency trend analysis, you give an initial velocity density and shear wave

16:04 analysis. Now, as we're going see, we're gonna actually start giving

16:11 control to the boundary attributes to see they change. So let's look at

16:16 familiar attributes. This is from Alistair's book. I forget what edition this

16:23 . He has about six or seven of his 3d interpretation book and he

16:28 a plot, something like this seismic . As far as attributes are concerned

16:34 be broken into the time frequency amplitude attenuation could be pre stack or it

16:41 be post stack just as a little . I drew a window here where

16:47 have drew a diagram where you have horizon or inversion. If we take

16:53 window, we can take gross total such as total absolute energy, total

16:59 MS value or you can select averse and do the same thing or getting

17:05 trough differences or you can get a . How are these is what type

17:10 distribution the bell shaped on things such ratio poor positive to negative members or

17:18 can do horizon analysis. Just look the reflection amplitude composite relative impedes or

17:25 the A vo attributes you associate with horizon. Now on still, even

17:31 it's post deck you can do an basically for acoustic and bees all the

17:37 represent horizon. The one green I sits over here on the inversion.

17:48 you can see this is just with . When you go frequency and

17:52 you can do the same thing. had a GSH Geophysical Society of Houston

18:02 symposium and the young research geophysicist He was on his own and he

18:09 offering processing software. And one of things he was proud of was his

18:15 . And they got up there in of the audience and said my system

18:19 you to generate 840 different attributes. with that, you could hear a

18:24 moan from the audience and some guy God, I hope my boss isn't

18:30 to this and try them all fred of attributes to a petro phys property

18:42 based on local crosslots or other That's what we'll see today. Some

18:49 the early attributes were developed by J the name of Tory Tanner f Tanner

18:55 . And she and one of the that he was famous for was a

19:01 trace analysis where he gave us the such as reflection strength that he define

19:15 frequency and apparent polarity. And what have are three of the same section

19:25 gonna look at on the bottom, look for this event and that's a

19:31 shell deposits where this becomes a bright zone, instantaneous frequency, you can

19:38 a low frequency shadow underneath the zone interest. Oh by the way,

19:44 often is dying was associated with the convolution operator. In other words,

19:51 very little low frequency and the seismic . So the decon operator tries to

19:58 it up. And what you're looking is strength in the decon evolution

20:02 Right here. The instantaneous frequency, say it picked it up apparent polarity

20:13 , It shows to be negative They don't know whether it is

20:17 They don't know. Now these attributes we showed here were not directly related

20:24 petros properties. They were more of , this is what your anonymous should

20:35 structural interpretation. We've seen this and asking for a qualitative interpretation.

20:42 that's a big amplitude but we don't the composition yet. What's the Q

20:49 ? That's what we're after. Here's of the earlier earlier techniques that were

20:56 for quantum data, take a seismic , pick the cyan horizon and then

21:05 that, take a section, it's be your baseline for normalizing amplitude within

21:15 trace. And what does that What we're trying to do is quantified

21:23 amplitude here using what's called the amplitude the anomaly over the amplitude of the

21:30 . This is a over B this not intercept and slope that some folks

21:37 . So what's the amplitude of the of the background immediately? We have

21:44 . What's the amplitude of the In order to answer that since each

21:49 of these traces here process, you see like separately. We can be

21:55 and take that trace and find the MS value. Does anybody know what

22:00 MS value is one head shaking. is an R value? Summer

22:13 Yeah. Root me squirt. How you do that? Great. I

22:24 the so OK, so each sample this reg race, you can take

22:33 sample and square it, then add all together, divide by two and

22:38 take the square root or divide by number of samples. Excuse me,

22:45 by the number of samples and take square root. OK. Now here's

22:49 hard question is that a plus value you take the square or minus

22:56 Well, it can't be minus and military conversation. No, I,

23:08 always put a plus. Yeah. if I take a bunch of negative

23:13 , all negative square them by, the numbers we take the square

23:19 shouldn't they get a negative number? being a root? Mean square it

23:31 . We lost something, right? does it look? What I was

23:35 to ask? We lost the sign the amplitude is the root mean

23:42 We lost the and that's an important . You lose half something. So

23:48 keep that in mind. So I'll the root mean square of all

23:56 And that's gonna be my B for trace A, we just measure the

24:02 here and here is the major amplitude here divided shown by a, divided

24:12 B. So a little cartoon that made says that if you had

24:18 that value should have been four oil two. And if it turned out

24:24 be 1, 1/1, that, means that's just the background. So

24:31 , 1st method, so let's take look now how we're gonna do it

24:37 a bo we would like to get , what's called an Avio inversion,

24:45 seismic data. And that means eventually gonna need to know what the angle

24:53 and that angle can be cut, computed a couple different ways. One

24:59 just a straight ray theory that is down here, reflect off the

25:05 go back out, you know the velocity that'll give you the depth of

25:11 . And I know the separation between source and receiver that's gonna allow me

25:15 compute the angle theta that's one another way is to take into account

25:24 bending rays that you have on And when you do that, you

25:31 have something called the sign of this . And that requires several things.

25:38 interval velocity right here. You need know it, you need to know

25:43 R MS velocity all the way down the zone of interest and back

25:48 that's that X that's all set V gotcha T zero. That's the travel

25:55 down and back again, offset equals . And X always we have

26:03 Now that's gonna give you a more measurement of theta except for one thing

26:12 sensitive to a little bit of just a little bit. How sensitive

26:25 ever heard of the Dick's equation? Dick's equation says take the R MS

26:46 to this boundary right here, get R MS value to that boundary from

26:55 surface style. Knowing these 22 R values, I can get the interval

27:03 . So that's how I'm gonna get interval velocity. And let me just

27:16 , I'm gonna give you a stacking chart or you get a bull's

27:23 bull's eye. Now the bull's another bull's eye and you wanna get

27:33 , this is time going down You wanna find the interval velocity between

27:39 two horizons. So what you do you came in there and you build

27:47 box, OK? Now the interval , a good estimate is this,

28:05 the V interval right there. A estimate. Now, the equation that

28:13 can get to do this too. the reason I show this is you

28:18 appreciate something and that is what if missed this value right here? What

28:26 I dismissed it by a little it should be over here. Should

28:32 just over? Well, that means that I don't wanna get an interval

28:46 that's bigger than the previous yet done , that little distance, it was

28:55 a little bit. So a little in the R MS velocity can be

29:02 bigger in the interval velocity and the velocity is what's needed right here.

29:12 , although more accurate, it's highly to any error that you might have

29:21 it goes all over the spot. rather be inaccurate but stable and see

29:29 relative difference in the A vo Now are three equation Shui Smith and Gidlow

29:41 another call it conventional, these are different linear approximations that are being

29:50 And remember theta is the average value the incident and transmitted. And those

29:58 equations lead to this here are our inversion equations. Reflection coefficient equals normal

30:08 plus Pr and that's myself and Richard , that's one conversion. The other

30:15 is A which is nothing but N and B that's shy. And then

30:21 , the Smith and Gidlow N IP the co sign fit there and a

30:29 that's a Smith. So they all , even though we have one,

30:40 different parameters, we can get there's two independent parameters. So if you

30:46 N I and pr know that, you know any other value A B

30:55 et cetera, it's easy to compute is the same as N IP except

31:04 put the P wave velocity, put shear wave velocity there and that will

31:09 you. So let's do it. is Smith and Glow and Smith and

31:20 are the ones who developed the fluid and they needed NIS and their

31:34 Now I'm gonna take that equation and change it a little bit. Let's

31:39 rid of the cosine term here because looking at that equation, it reminds

31:47 a lot of a straight line If I plot this value is a

31:58 against this value right here, I'm taking this as meaning why. And

32:11 and that cosign bit that happens to my xi just transform it into an

32:22 equation. When I look at then I thought oh this is N

32:29 minus nis. That's what this is out to be because my equation is

32:40 coefficient N IP divided by person and a minus two nis. So how

32:51 it then see these magic dots, blue, I'm gonna come up to

32:59 one right here and I know what it is. If I know the

33:07 I can get the angle by the plot. So I know what two

33:14 squared sine squared is. I know just by knowing the offset and the

33:17 and the velocity I take the amplitude get right in here and then divide

33:24 by a multiply by cosine squared. then I can plot the value I

33:32 the next point and I can plot value pretty soon after 14 points,

33:39 can draw a straight line and the is this value here and your intercept

33:45 N IP. So knowing N IP I come over here and I put

33:52 point right there. That was the IP and that was the N I

33:57 just computed. Then I come down I said now go down to the

34:01 sample down here and gave me another IP and NIS define after going through

34:09 whole record came in here, take crayon and draw the N IP and

34:16 NIS curve. So very simple straight equation in order to get NIB in

34:30 . So the intercept right over here turned out to be N IP and

34:35 slope trace is the minus NIS. . Let's take a look at

34:56 Geoscientists are too honest, you know , yeah, it took us 30

35:07 to learn how to steal off of physis. This is a classic paper

35:15 by a George Pickett Dick Pickett and published it and it's basically P wave

35:25 versus shear wave velocity. And he out it's delta T compression, delta

35:33 sheer. Same thing. He points when you do this dolemite separates from

35:43 , separates from salt, separate from sandstones. And what sandstones all of

35:57 sudden I have separation of pathology in of pore fluid. This from that

36:09 all on the same crossbow something we start doing until the late eighties,

36:17 eighties. Nineties, good 20 years they, they started it. So

36:23 are the possible attributes we could cross ? Now, I know we showed

36:29 and hundreds but we're gonna try some properties and penances and reflectivity. Now

36:38 rock properties that's velocity density impedances that be acoustic impedance sheer imps even something

36:52 a gradient in peds or there could reflectivity, normal incidence, poison

37:01 A B rock properties, rock properties layer properties, reflectivity or binary

37:18 Let's take a lot of the data we have literature. Uh Good,

37:26 majority of that is from day. on from U of a rock property

37:34 , Tony Bji Landy, I for don't know yet. But all this

37:41 , all the processes that they all in a straight line. It shows

37:49 increasing clay or pro or pore pressure go in the same direction.

37:56 this must be solved looks like you know, normally there, then

38:04 do it again. And this time than water, let's put gas in

38:11 see what happens. All of a you have this value here, water

38:19 goes to that one over there. it is gas saturated, you have

38:25 difference that we could measure. Now difference becomes very obvious as you get

38:34 to low p wave velocities that goes there. When you get way up

38:42 , there is no difference. You up to 6000 m per 2nd.

38:49 . There's no difference between water, or gas. They're about the

39:01 So let's take a look at some them. We have P wave velocity

39:17 density. Can I tell the difference what r saturating gas poor fluid?

39:29 I tell the difference using P wave ? Well, let's come down here

39:33 class three. Here's the gas here's the P wave with velocity.

39:42 shale. Wow. Gas stands out itself. I think I can tell

39:48 difference between a 5000 and a 7000 per second difference by some type of

39:58 . But I think that'll show Ok. How about class one come

40:04 to class one and look at Both of these have about the same

40:11 wave velocity. So for this particular that I've built class one, this

40:19 not gonna give us except that one not separate the, the uh poor

40:25 content by using a P wave So it looked like TV velocity didn't

40:32 us anything there. Well, it somewhat friend because if you looked,

40:41 have a lithology discrimination P wave velocity a different velocity for shale than for

40:51 wet or gas charged sands. When in last one, knowing a little

40:57 of rock, it helps. the one that we have to stop

41:03 is the sheer way. And in sheer wave, I wanna say if

41:09 know the shear wave velocity or can use a shear wave velocity to tell

41:14 difference between class 32 and one wet gas and all these the inches.

41:23 , because the blue and the red about the same horizontal point shear wave

41:32 does not help us determine what the saturation is. Well, these properties

41:46 and velocity, they're kind of hard get out of seismic data. You

41:51 say, oh I'm gonna invert to not robustly or not. And that's

41:57 be tough. So what we do robust are things like acoustic and

42:05 shear and beads poisons ratio. So look at Poisson's ratio on all three

42:13 one through three. Do we get separation between water and gas saturation with

42:25 ratio? There's the wet and there's gas. And so that's a significant

42:32 right there. And yes, if extract voice songs rich, I think

42:36 could be good enough to notice. , a wet versus a gas.

42:42 down here on class one, it out that little separation that we have

42:49 is enough to probably discriminate what the ratio is. It is not the

42:57 but it's there. Now, I all of you had your eye centered

43:03 the lower right. This one right it says Lodi be Hodi. Look

43:10 this gas versus what it says. you do an inversion for the lambda

43:27 times of density lambda row, it's called, you're gonna be able to

43:35 these values, that value or that . So you go ahead, you

43:40 an inversion for Lambda road. So the numbers are, how to do

43:47 and remember what class are you If you're in a class one,

43:52 know what you're looking for, you know something, then you should be

43:56 to tell if it's wet or But even to class two, the

44:02 distance between the wet and the gas for all three of those. And

44:11 say not no. When you do with your data, you're not gonna

44:27 it plotted like I did here. take a look at this lower right

44:34 side. These are the three shell that I put in here. What

44:40 gonna see is you're gonna have shall around here. You're gonna have a

44:46 of nothing but shell values and then gonna see a cluster of what sand

44:55 the cluster of where the gas sans be. And now we're gonna plot

45:10 and it's going to be the normal and that happens to be on the

45:16 axis versus Poisson's reflectivity which is on Y axis in the middle. We

45:26 the mud line that John calls This is shall upon, shall we

45:33 have the wet sand reflection. If class one, this is where you

45:37 oh but you got oh you got down here too. So a reflection

45:44 of shale on to a sand. that sand has gas in it,

45:52 it would be this. Why do got that value there? And

45:58 Oh, I see. So the of the bed going shill into a

46:06 sand is this one that's the Then shell sand going into the shell

46:14 . That's this value right here. you're gonna have two values one when

46:22 on the top and one where it's the bottom. Again, as you

46:28 see these really are in clusters, you have no shale because we're plotting

46:37 coefficients. There's about 203 100 wells into this northern West Cameron off of

47:01 at depths between 8 to 10,000 We measured three or 480 reflection coefficients

47:12 these reflection coefficient is are theoretical, from wet and they're from the gas

47:18 right there. The coincidence in the b easily separated, not hard,

47:27 at all. Now, p wave density. Oh These are layer

47:36 these are reflection coefficients. And then , Sheeran Pedes versus acoustic and bees

47:45 that the density attribute is not It doesn't tell us actually what,

47:58 we have. It could be a shell or gas sand. But over

48:05 , if I gave you these one these values right there, if I

48:10 you the intercept slope in normal you know, that's a gas in

48:15 . If I gave you the P in the density. You'd still be

48:21 . Interesting. You can put the , the density and it doesn't seem

48:26 be enough acoustic and pains of gas . What sense and chill now,

48:39 not separated by either one. But gonna do a rotation on that and

48:44 that into a method where you can one attribute to define which one of

48:50 three it is here. I have give you two values. I gotta

48:54 you shearing pens and I gotta tell they were the Pia pens is in

48:58 to tell what mythology and poor But it's possible to do that with

49:04 one attribute, velocity density layer Remember the uh 3D imaging of the

49:23 that we did? Are you, you way back over there too?

49:32 ? Remember when you, we ask to volunteer thrust to image your brain

49:41 ? Do you remember that Carlos? said? Yes. You know,

49:47 actually tried it. Yeah, we . But you're a young guy.

49:52 put that helmet on you. We 300 receivers stuck to your head and

50:02 monitoring them man. Your ideas went . I mean they were freaking

50:09 You go way over there, bounce around your brain. We didn't know

50:13 you were doing. We said, , we gotta put Carlos asleep so

50:19 gotta put him in a deep Do you know how we put him

50:24 a deep sleep? 20 minutes after , folks. It's more than 20

50:33 after lunch and you haven't gone into sleep. Let's just stand up and

50:37 our first break. Ok. Thanks for that. Helping the lab back

50:47 and, oh, Kelly, can hear me? Ok, thank

51:08 Let's go and, and do one thing here. Well, log versus

51:14 resolution and I think we saw a of this before. Uh this is

51:21 zone that we've seen before uh where had gas fizz and water saturation.

51:34 we made some a vo plots normal but the A VO plots, we

51:42 ahead and started to look at the attributes that we can get from

51:47 And let's take a look at the versus VP A I versus Si Landau

51:58 . Remember lambda is very much like bulk modulus me of course, is

52:07 rigidity. And on all these, can see the zone that's highlighted up

52:17 at the box is being cross parted yellow or the s what sense that

52:24 not being go entering into either the let me say it another way.

52:32 the gas sands, fluid substitute. get the blue, the yellow or

52:37 the other sands in their water The shell is the gray, all

52:45 them have nice separations of the gas the big bulk of everything else.

52:55 pointing out this is using the well 1 ft sampling and if we go

53:04 the well log at 1 ft to seismic response of using one millisecond,

53:11 would be a 500 Hertz down to seismic resolution of only 50 Hertz.

53:17 this is the ideal up here. if we had the really, really

53:22 resolution, we're able to get this you go from 1 ft to one

53:30 , that's probably a 10 to 1 for every 10 samples up in the

53:35 . I have one at a Then you take that time and

53:40 well, that was nice. It's 500 HZ. Let's see, 1/10

53:44 that at 50 HZ. And you you've got this little bitty rtty right

53:48 that represents all this right here. this is the lack of resolution you

53:55 as you go from depth to the sampling rate to your seismic is gonna

54:00 sitting in there. And so you say, well, there's one right

54:08 . But yeah, that's, but has a lot of water samples right

54:14 it. OK. Case histories building Phys templates. If you have a

54:35 and it's separating a sand in the . She on top and the bottom

54:48 you reflect off the top of the and it's what that's the point you're

54:53 get for the post ons reflectivity and norm reson its value. If it's

55:00 charged off the top, you get value right here. You notice the

55:07 incidents goes from a positive to the . Now, when you reflect off

55:13 bottom, do, do just draw right through the center. It's the

55:19 . So both of these properties are in that it, it's plus one

55:26 , it will be minus the Now, we won't get this because

55:35 I Fred Hilsman can get this because can send a spike into the

55:43 It'll spike refi off of the, spike off of the boundary and get

55:48 to the surface of the spike. being common folks have to put up

55:55 a wavelet that I just put on socks. Let me tell you.

55:59 so you don't get that ee exciting point out there that I can

56:06 you get all these and you're gonna to be careful always to pick the

56:12 and the piece. But when you toward the middle here, user beware

56:19 crisscrosses. So you can't use this . You have to look at the

56:25 . No, let's see what this . I gave you an equation reflection

56:42 equal A plus B sign squared slightly than the one that I gave

56:48 The one I gave you was pr pr reflection coefficient functions, the is

56:59 incidence cosine squared plus 2.25 delta poisons seri. So Poisson's reflectivity, there's

57:12 of porcelain's ratio. That equation I you has rock properties in it.

57:19 normal incidence is acoustic impedance. The is Poisson's ratio. Let's look at

57:27 equation A plus B sine squared. look what B is B is.

57:36 , not so simple as the difference pois 2.25 the difference in Poisson's

57:42 That's why I like the Poisson's It has the rock properties buried right

57:48 there, right close to the front . So most folks though use

57:54 let's take a look at this right and see how it works. If

58:02 gave you an example of shale over , you would know what the upper

58:13 lower properties are. So you could a right here. All these and

58:20 is B and this is a curvature , see which is a higher

58:27 which is going to be ignored. , I have 380 wells up here

58:35 it's West Cameron Northern and we break down to 200 ft intervals. So

58:42 16,000 intervals, then I look at depths of, of interest 9000 to

58:51 ft. And I ask, what a wet sand reflection look like versus

58:56 gas sand? And this is what gives you good separation. So here's

59:08 model I have shall and green. the same shall on both sides,

59:16 and bottom. I gave you the sand and the gas in with all

59:25 you can make a model, you actually get this model here. And

59:30 is the zero degree at each end , zero degree. And with the

59:37 there, it allows me to compute parameters here to find B and that

59:46 associated with this one point right in middle. And I'm going from zero

59:54 to 40 degrees. That's the reflection of the what's, and this is

60:01 reflection of the gas in. I, once I computed these A

60:09 A B I can come up here A as normal incident B is the

60:15 and the gas sand in what sand this point right here? And this

60:22 and B which is right there. that point right there. Now,

60:29 about the rest of the values? look at the Avio response for a

60:37 thick wet S and here it's a thick gas san reflection off of the

60:44 reflection off the top. Let's go and look at the reflection of the

60:52 right here. Let's do that. I look at the area that has

60:59 gray rectangle and for the wet see the points right here, these

61:08 are cross plots of the A and B that we're gonna get there,

61:14 slope and innocent. Now, that's off the top. Notice that the

61:22 response is perpendicular to the wet But how about the base? This

61:31 only the top, how about the of the wet sand of the uh

61:35 ? OK. Let's put the basin now you have a symmetrical type of

61:42 here sitting in here and this is very thick sand. If I say

61:54 it a thin bed, make this thin, then I go from these

62:01 responses being separated. Now in a bed, they're gonna be right on

62:05 of one another. But still look the cross plot, the cross plot

62:12 this right here, which is the sand is what's shown right there.

62:17 look where the wet sand fold. the wet sand. And I cross

62:22 . If I get A and B each one of those, how do

62:24 get that slope intercept, plot the base of the slope of the

62:31 And these would be the points that get the A and B for each

62:36 signal. Each sample going across right . Each sample gives me a point

62:41 plot. It's A and the B that's if I had a 30 ft

62:49 , if the bed is 15 ft watch right around there, no,

62:59 where that red, the red dash . There's nothing there. Now,

63:04 something there. Oh, that's something the 15 ft bed. Look over

63:12 . That's with the 15 ft Take it away. That's with a

63:15 ft bed by itself. So we how the template reacts when you have

63:20 sands. It's still a bunch of . Here I go from 18% ferocity

63:29 28 Now, we're gonna see how this cross plot indicate porosity? If

63:39 sand has 18% porosity here is where gas point would plot. Here's where

63:47 what sand point would plot if I ahead and he had 20% ferocity,

63:55 30 22 24 2628 you'll notice as ferocity increases, my cross pot position

64:07 that ferocity line and this would be cluster of points indicating ferocity is increasing

64:19 that direction. Let's talk about compressibility is where the wet sand is going

64:32 the way from 18 to 28%. I go from a wet sand to

64:37 gas sand, look the, look the way these points move, they

64:44 like that. If I change what happens? Well, right

64:55 these are 30 ft apart in the and the bottom are 30 ft

65:00 But if I make the top and bottom only 15 ft apart, then

65:06 point right here would plot right This point would plot over there.

65:13 means your thickness arrow goes from here there for 15 ft and continue getting

65:23 and bigger arrow as your thickness Let's use it now, which Avio

65:38 is more sensitive for discriminating between thickness and water saturation. He drilled

65:51 dry hole. Why is it Well, it's low gas saturation,

66:00 only that small prosy and it wasn't thick. So you're not gonna be

66:12 disappointed you're gonna say, but we a lot of seismic data. What

66:18 the Avio look like? If we better gas got more thickness than

66:27 Where would, how would, how these change? You just drilled?

66:32 just drilled this point right there. we put our scent, you drilled

66:40 . How's it gonna change with thickness process change? So we go

66:46 we take a look. These are arrows that indicated it. If your

66:55 changes, if you ask, where I have to go? If you

66:59 a porosity increase? This point here have to move up to there.

67:07 what if you want a thickness then you follow the green arrow.

67:12 point would have to move over to . If you wanted a water

67:18 you wanted more gas. This point would have to follow the blue

67:25 So as it turns out, looking this, you can increase the

67:33 increase the gas saturation and you can't the difference because they're all gonna move

67:43 this vector line. It might But I can't say that's thickness or

67:48 that gas saturation has changed. So we look at this, the

67:57 we might be able to tell It says you have a good we

68:04 gas separation on this formation. He , but you have poor vector discrimination

68:16 you can't tell thickness from water Well, let's look at a class

68:24 . When we look at a class , when thickness changes, memory start

68:29 the origin and you draw a line your point like this. So if

68:34 get a thickness change this point we'll move over to there. If

68:40 get a pros change, this point up in this direction. And if

68:46 get a water saturation, it moves this direction. All of a sudden

68:51 got good that discrimination. if this your base point, that's the base

68:58 and you're at a will and well, you are at will.

69:03 gonna ask, what will the seismic like? This helps you tell what

69:07 gonna look like where the points would . So you got good wet and

69:13 separation and you got a good Now the other one is the class

69:21 and then the class one, you kind of poor separation between the wet

69:28 the gas. Those points are awful together your vector separation. It's

69:36 It's not bad. Problem is you tell the difference between ferocity and thickness

69:43 of the longest, same vector right but not bad except he don't have

69:53 separation. They don't move far, move in the right direction but not

69:59 . So that's your winner. Class is the one that's gonna give you

70:05 best sensitivity for doing a phhysical Put it all together, there's an

70:16 that I gave you by foster that very good giving you a description of

70:22 petro physicals templates and it shows what gonna examples would be so all on

70:30 . We showed you the one where you have a change from what the

70:38 , it's called poor fluid compressibility, move outwards in this direction. If

70:44 have a change in good porosity, going in this direction. If you

70:53 volume of shall change. I asked Foster when we first looked at the

71:00 , if he could put that volume shell in there. Yeah, he

71:03 , I like that. So he , I'm starting here with the clean

71:09 . And as I add clay, first thing it's gonna do is go

71:15 the pore space and that's gonna increase stiffness of the rock and then it's

71:21 start to get in the grains and gonna make it go down and look

71:27 a true shield now. So that a attribute, a petro physicals

71:44 So building it, we'll show you some real data. We're gonna do

71:49 here. Here's what's necessary to do . You do a petro physic analysis

71:54 the world data at well lo resolution that, you go ahead, you

72:04 the process mineralogy and water saturation, invert well, log inversion, you

72:10 that. You get what the grain and density are for each mineral.

72:17 the sheer mars? What's the P Marinus in a density? You then

72:25 the well log curves based on this phys analysis and these rock properties and

72:36 mathematical model, you then vary the volume of sand, water saturation,

72:45 get new N IP and I it velocity for P sheer and density,

72:53 , new, new Avio synthetics, now make a phys template, a

73:00 plot. Typically you're gonna make Avio for about 1615, 16,000 A V

73:11 , but it's, it's quick and all based on one. So you're

73:18 end up with something like this. B your slope, a normal

73:24 Here's gonna be a cluster of where , what points are your oil,

73:31 gas from 10% to 30% ferocity. you have other minerals, it'll be

73:37 the cross plop. So here's, an example at the start of the

73:48 , we have a will and we a petro physicals analysis vo a sh

73:55 water saturation. We got the log PS and row, we put this

74:00 here and we're going to use CREE and, and I gave you a

74:08 and that tells you how to compute P wave velocity if you have the

74:17 and the density green properties and the that's actually don here. But then

74:23 Gasman Equation void roost mass balance type equations that allow us to go ahead

74:34 reconstruct the log. And you can here, it doesn't do a bad

74:39 . The black or the measured and red are the reconstructed density VP.

74:45 vs and here is the mineralogy, simultaneous inversion is done which we will

75:00 we have the, this uh uh wave inversion, the sheer wave inversion

75:11 the density for the whole seismic Then we go ahead and get the

75:19 of sand and the porosity from those properties. PPSN density. OK.

75:33 , well, we don't start we take a look at this area

75:38 build a gradient in the normal wi . And we get one where the

75:44 one right here tells us this is shale, this is where sand would

75:49 . This will tell you where the falls for 16%. So we're the

75:54 spot. You want sand, sweet up here. I pros hy prosody

76:02 sin. Here's the most likely gas you use it as an attribute,

76:11 can search your data and this is it pulls on the by making all

76:17 attributes you're able to, to pull out as a GEO body uh from

76:23 3d volume. Here is the another little channel sitting right in there and

76:34 GEO body also of another channel send all these sort of automatic and you

76:42 get the percentage of how accurate they . OK? Let's put a little

76:54 more interpretation in it. And this one most folks probably love and haven't

77:05 this is done with Poisson's reflectivity and incidence. So this is plus poisons

77:14 minus normal incidence. If you look this, this says dim spots.

77:21 class one. Anything that falls down is class one. This is the

77:27 of the bed. This is the of the bed reflecting off, sitting

77:33 beneath that is your class two, call it some that's reflection off the

77:40 . This is a reflection of the in class three fall right in here

77:48 class three. No. Before we to shell over shell, you have

77:56 go through a wet sand. All were gas charged and this was

78:03 That's the wet sand here. And were all gas charged. Then they

78:08 to a very scratch of sand and the over on the left hand side

78:13 the application. What is done? size may trace was brought in and

78:20 seismic trace you you got a attribute pr with the whole trace and he

78:31 the attribute of N I for the trace. Now each one of these

78:38 can take apr value, I could an N I value and I can

78:43 that where it fall. Oh right . So wherever this time was right

78:49 , it gave me an indication it be brown. So I come over

78:54 and says, oh, this is that sample was taken from right

78:57 That's why what's indicated brown on that . So red over blue means that

79:09 inverted traces for each one of they fell somewhere in this plot right

79:16 . That was the top. Then base is sitting over here. So

79:21 is the typical class two a vo the top and the base.

79:27 meanwhile, up here, we look that and it's a yellow by

79:33 That means that's a wet sand most that is a wet sand. Uh

79:40 interval down over here, we look we have a blue over a red

79:50 a blue over a red is gonna a heart streak, something like

79:59 So that's what that indicates. you have a method of going ahead

80:04 putting it into pathology and the poor both into one, a single

80:12 Now what has to be done too this has a scale and there's a

80:20 of a bell shaped curve here. bell shaped curve here and what happens

80:29 this is normal. This is this poison's reflectivity going in that direction.

80:36 this point right here that happens to two sigma two standard deviations. So

80:46 this whole range in here, you out what's the standard deviation of all

80:52 poison's reflectivity. And you make it that point of that bell shaped

80:58 So that bell shaped curve is derived this plot and you make it two

81:05 deviations. It's gonna be a Belgian an example. This is the well

81:12 was drilled just off of Hoover Hoover field is in Amenas Canyon.

81:22 the dry hole you in banks drilled . Nice wet spot gas on

81:32 I follow this time. Keep following . Keep following it. Now go

81:38 ft in that direction and I wanna the field that has oil in it

81:45 there. This is the 30 degree on the Hoover Field. This is

81:56 one that was just drilled sand with . This is the lots the field

82:03 had oil in it much higher amplitude but still red over blue. The

82:14 was this one's dry and this one gas. So let's go ahead and

82:23 the classification scheme of using a VO and using a VO we use the

82:28 chart. We don't, we don't the chart all we do. We

82:34 sure that when we look at the poisons reflectivity section right in there,

82:42 make a two standard deviations here, standard deviations right there as the value

82:48 the plot in between the same for this the bell shape on that

82:54 you get the normal incidence and make two times the standard deviation of the

83:03 . And likewise here, when we that, we see that the line

83:10 had the wet sand on it does have anything in their red or

83:16 orange or pink indicating hydrocarbons that is . Meanwhile, the oil sand,

83:23 was nice and, and showing a over blue, red, over blue

83:31 that's where the oil pay was. the Avio was a class two.

83:39 existed in deep water and you're able say this was a gas or oil

83:48 sand. And notice too, there's wiggle lines. The Avio color scheme

83:59 allows you to pick the horizons. is the Keller Cross Plot. This

84:08 um presented publicly for the first time Jim De Sienna. He worked at

84:18 DC to my managing director of Give it to a PG oh

84:24 We just got so excited. He's geophysicist. He got the best paper

84:31 the A APG convention out of you , 10, 12,000 people poor flow

84:43 , template estimated water saturation and poor type. Take a look at that

84:53 factor again and see what, what it's meaning is and how to

84:57 it. Now, we want to a borehole to seismic quantification. What

85:06 here? Yeah, the fluid factor a boundary attribute. You had the

85:26 for A P reflection for a sheer and peas is a layer attribute.

85:36 dere is another layer attribute. What gonna do is map gas and oil

85:47 in the depleting field. Using these seismic attributes, a boundary attribute.

85:55 the prestack time migrated data amplitude a attribute. In version you do an

86:03 impedes, that's a layer attribute looks a seismic trace. I I have

86:09 stupid question real quick. Uh Jason the last slide uh at the bottom

86:17 have PST M. You said that's migration. What do people use for

86:21 abbreviation for post that? Yeah. It's a good question. It's uh

86:33 OS T P OS TM or PR for pre, but that's great.

86:42 a great question because most people post is a, a fast application quick

86:53 dirty and it's only considered a dry to make sure nothing is tremendously

87:03 For instance, your jam J got confused and the priest stack, the

87:13 stack migration might catch that or other small problems uh problems with gain problems

87:23 the velocity analysis. Gotcha. It's, it's more of a quality

87:30 check now. OK? I need vote. Everybody got a vote.

87:39 that or take a course, I'll . OK? I thought you would

87:43 Andre attribute. This is a seismic . This is a layer attribute sitting

87:52 there. The question I have is one of those better quantifies the

88:05 No. Here you see two reflections and the positive, the acoustic

88:16 You get the wiggle line, the just put on to emphasize it.

88:20 look at the wiggle line. It you decrease acoustic and bes come

88:26 you increase it, you're flat. then you have a ramp and that's

88:34 of hard to come in here and who it's, it's a just by

88:38 acoustic competes is going down, it's up, then it's flat, then

88:43 ramps like that. So the finding lithology in correlating from trace to

88:55 this seems pretty good, doesn't And it's kind of makes it easy

89:01 would probably give it first place. , does anybody want to disagree with

89:08 stand forth and forever help? And was that going? The marriage

89:15 Anybody has something to, they don't these two folks to get married.

89:23 what happens if we changed some of ground rules which had to be better

89:35 quantify geological properties? Well, when started this, I kind of gave

89:46 a base line on what the acoustic peas or the should say the P

89:54 velocity was sitting in there. He it a guess. So what happens

90:00 the boundary attributed this? If they're the geology, what what would we

90:07 out of that? So let's go and do that and see which Abuna

90:13 better. That one was first OK. Seismic modeling. This is

90:25 to be for the fluid factor. have gas, oil water. When

90:38 get done with this, he say gonna drill. Now, the biggest

90:47 turns out to be from the wet a dip. It turns out that

90:57 are weaker, weaker amplitudes as I before, management does not like drilling

91:10 deeper attributes. Uh amplitude, bigger , especially down dip when they're looking

91:19 something up dip to be drilling So let's see. Gotta change management

91:26 here. So we go to Smith Glow and also far and we're gonna

91:32 N IP and NIS. We'll do for Avion version, the reflection

91:40 it's gonna be N IP divided by sine square minus two NISS square.

91:46 what we are trying to get out this, I want an N

91:51 I don't want a NIS. So each one of these positions, I

91:59 ahead and I generate a CDP gather from that CD P gather, I

92:06 to extract N IP and NIS. let's make a seismic section that gives

92:16 the N IP and NIS. And they are. How do we do

92:23 again? In order to get this , I had to have a CD

92:28 gather, maybe of 10 traces, them together, then it put it

92:34 to the inversion, Avio inversion and NIT and N I SI. What

92:41 I do with that? Well, Smith and Gidlow, they said go

92:46 dip, take that section and I you to identify a fluid factor and

92:57 fluid factor is N IP minus gamma . And I want you to get

93:05 gamma from field data so that when go ahead and let it be in

93:16 brine section down here, this fluid is gonna be zero. Now when

93:25 get into a gas saturated section here's gonna happen. Your N IP,

93:32 course, it's gonna be N IP saturated. But the interesting thing is

93:38 NIS NIS doesn't depend too much on in the PO floor. So this

93:49 when I multiply it by gamma, going to be N IP. Remember

94:18 went and found the gamma so that IP minus gamma, NIS is equal

94:28 zero where you're in a brain. gamma is 1.8 is a value.

94:36 got that from these two sections. now we go ahead and we apply

94:47 IP minus gamma which was 0.56 And there's the stack and now here's

94:53 fluid factor. Notice the only events get are those that have some type

95:01 hydrocarbon in them. That's the flow anything that's water saturated disappeared. Leaving

95:11 . No, we're not happy yet they want us to say where,

95:17 the gas and where's the oil? was the original objective of this

95:25 So we got to calibrate the fluid to discriminate water from gas and oil

95:33 gonna get a bonus. We're gonna how to discriminate fizz from full economic

95:39 saturated with with this. Now we to make this. So any interpreters

95:47 have a 3D workstation can apply this having to buy any software. Make

95:53 simple. Here's a database of about wells. All these wells has been

96:04 . All this was have a special of sampling and that I'm gonna take

96:17 wells and take this box and vi , I'm gonna break into 200 ft

96:25 . 0 to 202 104 104 106 forth. And in that interval,

96:32 wanna find out where are the clean ? Where are the Shelly sands?

96:38 shale? What's the percentage of clean , Shelly sand? What's the percentage

96:44 shale? What's the resistivity? What's resistivity of clean? All these are

96:49 that? 12 or four? Now me what is the reflection coefficient when

96:55 water wet? What's the reflection coefficient it's gas? What's reflection coefficient when

97:00 oil still? All part? But , the key of this is in

97:06 200 ft interval, I'm taking the properties minus the sand to compute my

97:15 coefficient. I'm not losing a So with that, here's 100 and

97:24 wells in that interval, we have kinds of statistics in each 200 ft

97:34 , we then have a depth range 9500 to 11 5 in that

97:39 I'll have 200 I have 183 200 intervals. And you consider that as

97:48 sampling one samples, here's a plot the sand versus the shale density.

97:59 you see any overlap in those trends 0 to 14,000 ft? Any

98:07 Yeah. So question there is your within that interval, right?

98:22 I wanna know how much of that sand denser than chill. How many

98:32 these red dots that we have are than shell if you look at this

98:40 plot? Oh OK. Here, I ask it for Don deep during

98:45 interval where the shale and sand histograms it any insight. So if I

98:53 a histogram of density for this interval here, I'm going to have an

99:03 and that's 33 samples were sand is be faster than the shell, right

99:14 . And so that's about 18%. now we're gonna look at the,

99:20 gonna look at the samples differently. is, I think you'll notice this

99:25 is a little bit different on the axis. It says what sand density

99:35 the vertical axis. It says what's density shall and what's sand density?

99:47 , this point right here is a value and this point right here as

99:56 sand value, if we come over on this side, that's the shield

100:03 and that's the sand density scale and density all done on one axis.

100:13 notice that the horizontal axis says the sand density. Oh so it's this

100:21 here brings you down to here. other words, when we get

100:27 these are all gonna have the same sand densities in this column sitting in

100:34 . And that's why you get a line when I look at this.

100:42 it's a different interpretation. Anything above blue line, a shell denser than

100:52 , there's only two samples where sand denser than shale. And so these

101:01 coupled reservoir properties. I'm taking the in the two info interval. When

101:10 plot this shell value right here, came from the same 200 ft

101:16 Is that sand density? Why take average over there when I got it

101:21 where the well is, that's where reflection is gonna occur. So you

101:26 a much lower scramble of data when use couple reservoir properties. And we're

101:36 use that concept again, let's compute normal incidence, sweat gas and

101:47 And in doing so we're gonna use same 183 blocks. This blue line

101:55 here is the normal incidence wet 105 the equivalent oil and gas charge are

102:10 behind it and it's on the 0.05 line. It's the normal instance.

102:21 ? So it, it shows it's same interval we done. Now looking

102:25 this, we have three best estimated . The normal incidence oil. Here's

102:34 equation high correlation 0.94. Here's the . Now, I'd like you to

102:44 me to do something a little. just some tricky algebra. I'm gonna

102:49 this value right here and move it the other side. OK. That's

102:55 equation. Take this value right here move it to the other side and

103:01 this equation. Now, the tricky I'm gonna pretend that value is just

103:09 , just one. Hm. So don't need the one out here.

103:13 just one oil minus normal incidence. gas ma normal incidence. What oil

103:31 no incidence wet its sad vector right but no one since hy hydro carb

103:42 no one. Since what is the factor? You have a quantity that

103:52 that you can look for in your data. This is the value if

103:59 happen to have oil and your data . Now let's take another look at

104:08 notice. All these red values that's wide range from zero to minus 0.2

104:17 coefficient of gas oil the same So they vary significantly each value but

104:29 we to guess and water wet the are pretty much the same for all

104:39 data. Oh, that's interesting. , that means it's not s uh

104:47 to that. What else does it the reservoir porosity here was 10 to

104:55 . And yet you get that nice nice result. Hey, so these

105:04 are fairly insensitive to rosy. the shield that we used in here

105:13 2600 to 4200 m per second. yet we still get this nice

105:20 the standard. So it's insensitive this factor to shell values. It's

105:30 it's insensitive, it has sensitive but due to porosity. Now, how

105:38 this compare the Smith and Gidlow we're able to actually quantify it

105:46 with a little bit of world Let's see how we quantify it.

105:59 fluid factor is a function of time the normal incidence P minus gamma,

106:06 normal incidence S that's Smith and Glo's , we force this to go to

106:14 in wet zones. No, when force this to go to zero,

106:22 actually getting N IP gas minus N wet at the top of the

106:29 Mm Let's plot, let's plot the IP versus the NIS. And I

106:39 an equation for this N IP N is equal to minus 0.72 NIS minus

106:49 . So the fluid factor says give N IP gas. OK. We're

106:57 tell you what del give me, me the N I PM NIS.

107:02 there's the fluid factor but I'm going here use the linear expression of N

107:15 from NIS. What's in the In other words, this is the

107:19 wet data. You want to find what's necessary up here to make that

107:24 to zero. It's this equation right . That's the straight line equation for

107:29 sandstone. When I say that is fluid factor, that's gonna ensure that

107:37 I get one of these points on , it's gonna go to zero.

107:41 it another way you got an N , you got an NIS for every

107:49 in here. See that point right that has a certain N IP,

107:54 has a certain NIS. Take that IP. Put it in here,

107:59 that NIS, put it in this little point right there. Then

108:06 to right over there. Do all other points and look how they line

108:12 . Now you have one parameter N minus this resistance minus this so much

108:23 NIS plus a shift. The shift not necessary, but it does put

108:29 to absolute zero here. Now one , we'll go ahead and tell you

108:35 it's gas oil or if it's what is called a coordinate rotation and it

108:49 the risk leading to a fluid Let's compare, look at other fluid

108:59 . We're gonna apply this, we'll by applying this. Still here are

109:03 popular discriminators for poor fluid. The factor, this was the equation.

109:10 and Glo poisons and peas. It's same but a new factor from weld

109:17 in lamb the row, it's the except this is another one you get

109:22 the wel data. All these are factor discriminators. These are layer,

109:35 is a boundary. OK? N gas minus N I wet is equal

109:55 the fluid factor N I gas minus I web normal incidents over gassing shell

110:05 gassing, normal incidents over what's in over what sin take those two,

110:12 them. You get gas sand over sand? What is that? That

110:19 ? There, if you look at , that's the gas water contact.

110:24 all the fluid factor is, is gas water contact. And we take

110:31 look at the gas water contact. the shale? There's no shell shells

110:38 here. Shells down here, put a gas water contact. It's independent

110:43 the shale. Oh, now I that. Why? Surprising. And

110:51 is the brines going into the What we have on this is basically

110:59 man's equation trying to find case of which was the bulk largest of the

111:06 lord. That's what it's looking So if you equate at this

111:17 a no coincidence, what is the of these two move that around a

111:24 bit? And you can see water contact is N I gas minus

111:31 plus and I what? And that's the negative of the fluid factor.

111:36 we see just by the cartoon, fluid factor is the gas water

111:42 You can do it numerically as we right there. Show it.

111:54 Let's just continue. Let's look at uh the problem now and let's take

112:05 little break before we delve into this of trying to find out how much

112:12 and how much oil is left in reservoir. Senator One, what is

112:21 objective? My objective is to find much hydrocarbons are left. It's oil

112:27 how much is, is gas. do you want to do with

112:31 Debater. Number two, we want delete all the methane from this.

112:36 we're gonna require them all to have caps on top of their wells.

112:41 . That's enough of that public broadcasting off. That is for enjoyment of

112:47 that weren't here in the debate in the present time, in,

112:50 this room. Ok. Here was whole deal. There are 10 wells

112:58 this area that were drilled during the seventies in 1995 96. This was

113:07 of the ocean bottom survey by So they've been drilling for at least

113:12 years in producing. So to take well data and the properties and trying

113:21 associate it with reflection synthetic seismograms is pretty tough. And seven,

113:29 is it? Seven, no, of the wells are already plugged and

113:37 guess we had more than it's 89, 1011, 11 wells.

113:47 These are all oil wells that are , two active oil wells and one

113:51 gas. Well, the seismic if you look at it closely,

113:57 notice there's a fault a a prime in here and underneath the fault

114:04 we see a little disturbance and that reflectors are not as crisp as they

114:12 . Don Depp of me and dip the up throne side. And this

114:18 not unusual. And here the little because we have a velocity gradient,

114:25 a velocity difference right between the right the left side of the fall.

114:32 that can give you some little misalignment the fault. If we did a

114:40 migration, maybe it would have been little better aligned. So here's the

114:49 map on the horizon of interest. then right beside is a depth map

114:57 just the depth we got from these . And when we go ahead and

115:05 at well, 56 and nine, basically on the same time interval,

115:13 56 and nine look like the the lines perpendicular going through an

115:21 And the way that these become perpendicular there is a velocity problem, there

115:30 a velocity variation going in between So we know there's a velocity problem

115:37 by the timing since we have a simple time, 2660 yet a

115:45 velocity is necessary. Now, what like to do is go ahead and

115:56 if we can't extract some of this IP NIS and et cetera like

116:02 Well, it turns out we have near stack and a far stack.

116:09 if you look at these constants right , if you use these constants right

116:15 , you're gonna get an estimate of N IP at this depth. And

116:21 NIS comes from this radio. Those I told you that the near far

116:30 inis A and B they're all related and forth. And in the text

116:38 Jenny Joe and myself, we, show illustrate how to get these constants

116:45 any you, you give what the is or the angle in the N

116:51 and NAS constants are given. So kind of an easy way. And

116:59 gives us the map that is shown the bottom. This is the seismic

117:05 of N IP. And what I to tell you is we took a

117:12 , let's say north of the last up in here and said there's no

117:18 in there. Let's just call that . We're gonna assume that that's a

117:22 portion. It, it's ok. it, it's not wet, it's

117:25 show up and bite us a little on. And here's the N I

117:30 . Are we satisfied with what we ? Well, not quite. It

117:37 that this oil well is near the blue done in here while the scar

117:50 , is nearer to a lighter meaning the well, well as the

117:59 reflection coefficient than the gas. And IP and I don't like

118:06 I expect a major highest reflection coefficient be assi assigned to the gas.

118:15 , not the orwell, it's more . So let's go ahead and uh

118:27 a little calibration. Let's calibrate the to the well lo data. So

118:37 going to take the Z values and that is, take the normal incidence

118:46 seismic minus the norm minus the uh me, let me get my tongue

118:54 backwards. A Z value is a incidence P value from that map subtract

119:03 it. The mean value of the in a standard deviation of the

119:10 When you do that, what you done is you can view it computed

119:17 seismic that has a deviation, standard of one and a mean value of

119:26 . So I've now converted all all this seismic data down in

119:33 I have the ability to convert So if I make an average value

119:39 zero, if I look at the deviation, it's one, then I

119:53 the Z values and calibrate them to well. So the normal incidence P

120:04 it, I'm gonna take the normal seismic rate in here eventually through the

120:09 and then multiply it by the standard that I get from the well wet

120:15 the mean from the well wet. these are histograms made from the well

120:22 and the bottom of the histograms made the seismic data that allows us to

120:31 plot the calibrated normal incidence B against calibrated normal incidence. S these are

120:39 to the well log data. I pull out, where was that

120:44 section? It's right up here. exactly where I expect to find wet

120:49 gas. You expect the wind to no, no its value higher than

120:55 of the gas, which it we can get an equation for all

121:04 data which is shown this found this right here, then becomes the fluid

121:15 . I have the norm. Winston calibrated. I have the norm.

121:19 sheer calibrated. And the fluid factor just from those calibrated values that within

121:25 cross block. I like it now now the gas well is sitting right

121:35 the maximum uh fluid factor minus In fact is, if we go

121:52 , bear with me, folks, get tired and I fall asleep at

121:56 time and you can run off. . It is. This is the

122:06 factor for gas. It's minus 0.088 oil. It's minus point 52052.

122:34 that's essentially what we're getting here for gas. We're assuming this is gas

122:41 in there. Well, here is baying classification. Uh the fluid factor

122:51 we know management doesn't like to make . They would like to know where's

122:57 , where's oil and what's wet. , using that classification sitting in

123:04 here's where the gas fell and here's the oil sands falling and the

123:12 This is the fluid factor. The is sitting right there sort of in

123:18 midst of the gas sands. All rest sitting in there is where the

123:24 sand falls and it, it kind follows that oil sand. It's kind

123:31 following the depth contours of what. we repeat it the same experiment but

123:40 a layer and that's the poisons and . And we did that lo and

123:47 the gas well, wasn't beside the poisons and peas when it should have

123:55 . And then we remembered, yeah, to do the poisons and

124:00 . What you need to do is sign, a low, a starting

124:06 for the poisons of peas. You to get a velocity map and we

124:12 problems with the velocity and that is of the reasons that this I think

124:18 tie as nicely. If we look the fluid factor, we have three

124:25 wells. The oil wells are in oil zone. The gas well is

124:31 the gas zone. Here we have oil well, it was correctly

124:41 The gas sounds is correct. The zone is not correctly placed on the

124:46 on the fi the boundary after at fluid factor is more accurate than the

124:54 fluid discriminator, which is a layer boy sons of peas. In this

125:00 , boundary better than layer other the fluid factor is independent of the

125:09 properties. It's independent on a reservoir's . It's independent of the wave

125:18 Did I ask you at all? me a wavelet. Every inversion requires

125:24 known wavelet and it's the same on offices. Oh, I lie,

125:30 did use a wavelet. I picked trough. I picked an event and

125:34 the event is I picked a certain of the wavelet. So that does

125:40 not knowledge of it. But the use of it, we related to

125:47 normal incidence of the hydrocarbon water That was what the fluid factor

125:56 So we predicted oil and gas zones measured from near and far angle

126:04 We had no inversion of impedance. didn't have to take an impedance and

126:10 it. No A avian versions to IP and NIS. This is done

126:16 angle stacks which are already computed seismically to regional trend. None of those

126:24 wells, none of the wells in field went into the calibration. They

126:29 bad because the seismic was the seismic run after the fact. So this

126:37 a regional type of a trend. it's valid. The reflect attributes can

126:42 generated and can be quantified and normally less time and expense to generate than

126:50 inversion. It's one that you can on your own machine. So looking

126:55 this question, what's better a boundary a layer attribute? I think we

127:02 the first place and kind of probably it into the middle. Remember why

127:07 the fluid factor work? Because we it geological information about the boundary.

127:14 never did that, but we did for the layer. Now for the

127:18 time we do it from the so allows us to quantify.

127:25 Any comments or questions. What's No, something else about this.

127:43 kind of referred to a little bit you look at the attributes slope and

127:57 of fizz, it's very close to . So if we can discriminate in

128:06 example, oil from fizz, we discriminate fizz from full gas because oil

128:16 fist had the same properties. we're trying to get it discriminated from

128:20 same thing, economic gas. And this says it has a chance of

128:26 it, this type of technique using properties. Now, we were fortunate

128:34 be able to do it because we all these 6000 walls that were edited

128:41 then made the 200 ft intervals. a couple of days work. The

128:49 was, it's 20 years of work get 6000 wells ready and uh a

128:57 of expense. Ok. Anybody have guitar? Do you have a

129:12 Ok. Do you have an acoustic or an electric guitar? Electric,

129:24 ? Ok. So you want the probably? Ok. Electric to

129:33 I should say an elastic guitar. there such a thing as an elastic

129:39 ? Not as far as I know ever hear the elastic guitar? These

129:46 in here think I'm sick together, . Let's look at the acoustic

129:52 Then whenever you string the, the guitar, you get a note that

130:00 call the normal incidents. Ok. that's the difference of acoustic impedance of

130:06 lower number two minus the upper then the sum. No, we can

130:15 out that lower acoustic impedance in terms the upper acoustic impedance. Oh So

130:24 can get a reflection coefficient. you got reflection coefficient to your seismic

130:29 . Yeah, I can do And then just go ahead and guess

130:36 the first acoustic at being. So would I do that? We shot

130:39 water? That's 5000 times one. a good your beats and that would

130:45 start that way. OK. So saying that I can get the next

130:52 impedes at N plus one if I the one acoustic of ps just previous

130:59 I have the reflection co and the is yes. So here we have

131:07 acoustic and beans right here and we the normal incidence trace and I have

131:13 starting acoustic beads and I have this right there and that's gonna lead to

131:21 acoustic beings. Not here. I have the next amplitude come down

131:28 , this next amplitude and in can to this acoustic and be and so

131:35 . Now, similarly, there's a impedes you can derive by inverting the

131:42 , but we just got the acoustic beans. So we say seismic conversion

131:46 take this velocity yet a reflection sequence , boom, boom, put a

131:53 on it and then take that and it to see if you can't get

131:59 to the original data. That's our technique simple. And we showed the

132:08 by a very simplistic method right Now Rosemary Latimer had leading edge article

132:23 pointed something out. So the other other folks did also is, would

132:34 like a resolution? Do you like in your seismic data? High

132:43 So when we do this inversion looks we'd like to have high frequency,

132:49 ? Uh I think that sounds good me, Fred. Well, let's

132:53 what happens. We start with, gonna start with a wiggle trace like

133:03 and I'm going to invert it and gonna use seismic frequencies from 8 to

133:15 Hertz. And then when I estimate I, I get this orange feature

133:23 then I say, well, let's ahead and go to 500 Hertz all

133:31 you want. And I get this acoustic and beans and it looks like

133:38 one over here except it's a little . And I asked myself, am

133:47 satisfied? No, because the answer I'm looking for is right up

133:56 I, I have a good idea the acoustic opinion is, but I

134:01 it to fill that gap like it down at the bottom right here.

134:06 how did it fill the gap down the bottom? It took the 10

134:11 , it was missing, it goes 0 to 10, but it still

134:15 80. It's that low frequency we preserve that is what's given us the

134:24 better fit. And that is what on acoustic compete in version. They're

134:36 ask it, what is the trend start. In other words, they're

134:40 ask you what's your answer that you to get all of my folks?

134:46 , that's where it comes out to . Um 0 to 8 Hertz is

134:55 they say not on seismic data. the truth. So if I give

134:59 that 0 to 8 Hertz, what ? You fill that gap up?

135:06 simple. So are you really solving if you have to give the answer

135:15 you start? And this is why like Kota are sitting there trying to

135:20 out how can I get the best of velocities sheer N or P

135:28 So that conversions such as this are meaningful, it's not necessary that

135:34 it's that low frequency that is really . Are you using your low

135:41 Absolutely to get as deep as you dig? Right? OK. Here's

135:54 quotes on why to use tracing The broader bandwidth of the impedance data

136:02 vertical resolution and minimizes tuning effects. bless you interpreting volumes rather than surfaces

136:12 more geologically intuitive. It simplifies litho and stratigraphic identification and supports static reservoir

136:22 of any complexity. So it basically it doesn't like boundaries or surfaces,

136:29 wants vibes and that's true. You , really, really do want that

136:37 the data is no longer zero, the dynamic range in any given uh

136:42 bullshit that one excuse me, calibrated impedes predicts correlated phys properties like ferocity

136:51 content and net to growth throughout the volumes. With the constraint that you

136:59 at the beginning that's shown by this . I wished it says go ahead

137:13 find channels. And when you look this, you see that this channel

137:19 inside channel right over here, it's to see sitting over here. But

137:30 you come right over here and continue right there, if you input that

137:39 one of your parameters, the surface and you input these other surface

137:45 then what do you do? You a well log rate in here that

137:50 the acoustic and PSS to these boundaries that yet another, well log sitting

137:58 here. And then when he he got the acoustic and fiances from

138:11 wells there and he just interpret it between these wells falling into the

138:16 So you, you get a color you can see just like this before

138:21 even invert. It fact is this blue kind of tells you everything up

138:26 here was colored light blue as a in Likewise Don here that looks like

138:36 that's been colored in the background. a very big cynic when it comes

138:45 interpretation. I'm terrible because I always it's wrong. Now, prove to

138:53 it's right. And that is an that says if it, if

138:59 I beat away all those negative, good. And I like it.

139:02 believe me to just sitting with alto kept asking me questions and he

139:07 why are you doing that? So just trying to beat in my mind

139:10 I like it. And I, it's a nice idea. Yes.

139:18 . Here's another little uh tool that can use. Anybody ever hear of

139:26 48 transform P 48. I went school with him. Yeah. It

139:33 back at the time of the applause songs. We all hung around

139:37 Yeah, mid 18 hundreds. What is the reflectivity? You

139:54 I bet I can think of that my seismic race maybe reflectivity. It

140:16 it's a continuous expression of the reflection . The reflectivity is the derivative of

140:25 natural log of acoustic and beans sit there and the natural log of acoustic

140:32 beans. Therefore, if I if I want this the natural log

140:37 acoustic and beans to get acoustic and , I look at this equation here

140:41 say integrate it and integrate it. integrating RT DT, that's gonna give

140:48 acoustic and be all righty. So reflectivity function is gonna give me a

140:56 times acoustic and piece. Oh just a second. Now, I

141:01 my seismic data might be this. , I do too. That's an

141:06 . OK. So what can I ? Well, if you wanna get

141:10 natural log of acoustic at beans, to competes right here or Gusta

141:16 Here's what you do. You integrated it says right here. Uh Don't

141:23 get me anywhere near calculus? If say that word, people are gonna

141:27 me out of the club. What would they like? Well, you're

141:32 to say faith, you're allowed to face change. OK. So the

141:40 right here can be really done by phase change. So you got a

141:47 works. Uh huh. Uh huh . Click on face. Put 270

141:52 there and it'll change your seismic data that's the first estimate of your acoustic

142:00 beans. No, if it turns you have enough high frequency, you

142:08 to then do one over omega. gonna be sort of part of the

142:13 but one over Omega that can be also real quick because almost all of

142:20 have a filtering and orange be is of them. So you have a

142:27 frequency 5 to 8 but then you to 10, then go to the

142:32 high frequency like 65. Compare this your typical orange B filter. You

142:39 say five inch slope for the lower here than 5 55 65. But

142:47 they're asking for one over Omega, just go 5 to 8, five

142:54 over to eight down to 10 and 65. And that'll look somewhat like

143:00 over Omega in this range right Bottom line, how do I do

143:09 take your seismic data? Put a shift on. First look at bring

143:16 acoustic competing serve up from your well data. Plot it right beside that

143:22 say is that close enough? OK. Now one of Omega put

143:27 OK. What is that? just use this right here and you

143:33 your seismic data with the filter with face shift and you filter also the

143:39 and bees with this type of right . And when you get done,

143:45 should be able to correlate those If that procedure is gonna be

143:51 give it a shot. It works lot of times it's very quick and

143:55 and easy to do. There's no lost in something like that. Here's

144:08 synthetic with an orange V filter phase zero. I'm gonna go ahead and

144:20 that well, take the, take data right in here and put on

144:29 200 degree space shift and that filter , 1065. And there is the

144:43 I went once again, took that and transformed it to what you see

144:47 here. And then we compare with well log and that's not too bad

144:54 what the well logged in some It's fairly good. So it's,

144:58 quick and dirty and that a lot times that's enough. Now down on

145:03 deep, we just don't have that frequency, any comment or questions who

145:19 the beer this week? Oh, was actually gonna stop for Kolaches this

145:28 . I was, but I didn't to get rained on also.

145:36 they're good. Oh, man, are really good coaches. They're about

145:42 size of a baseball and they filled scrambled eggs and you can get it

145:49 bits of bacon or sausage and cream or cheese in it also. I

145:58 find any. It was just all eggs. I was thinking of young

146:02 back there. No ham or anything that in there. And,

146:10 they didn't have this and I didn't him any help. Hello, folks

146:15 there. You missed out on the that I didn't get. We did

146:19 kolaches last week and they were They should shut the ships down

146:25 on, uh, what's the name Scott Street? Anybody ever hear of

146:37 British people? They, they have . Yes, they have geophysics and

146:49 invented it. It's called Elastic Pat Connolly. And it's quite a

146:56 little idea trick that they had when did that and that they had some

147:02 guys over there and gals that, , apply it to. And it's

147:09 versatile. And what's the versatility? ? Well, the versatility that I

147:15 is you have a little button and can twist this little button on the

147:21 . You know, it, it's slide bar. But I think as

147:24 twist it, it goes from section from acoustic and beans, the bulk

147:31 , the sheer rigidity to land the , all these attributes suddenly appear.

147:37 screen is a seismic section of acoustic be now turn it a little

147:44 it becomes lamb the row a little sheer rigidity. Each one of them

147:50 to a Pacific lithology or fluid like . So let's start off what we

147:57 . We have three algorithms that are used for Avion version elastic and

148:05 this is BP and we have independent . So let's start with independent

148:14 It says take prestack gathers to derive P wave shear wave in arly density

148:24 volumes. That's what you like to . Then with these activities derive the

148:39 impedes sheer appearance beads and density. basically, we take the gathers and

148:54 go ahead and get uh N IP NIS, that's the P wave reflectivity

149:03 the sheer wave reflectivity. Then we integrate them and we give Kous

149:08 good beat two steps. Simultaneous inversion start with the cries that gathers and

149:16 all the way to acoustic competence without enemy step. Bypass the reflectivity.

149:25 also an additive process. And this the section that I have, I

149:33 have skipped it on in uh well inversion, well inversion, but we'll

149:43 it. We don't really need Poisson's for this example. And so it's

149:55 I store it from somebody I can rid of it. OK. My

150:02 output is the blue but here's my . So I want to go from

150:08 input to that blue. But before start the blue, I'm going to

150:16 ahead and I need to give it starting sample. A starting model.

150:23 my starting model are these smooth acoustic sheer and beans and density curves.

150:35 , Fred, what's to stop me putting those over here? You don't

150:43 that blue curve. What would happen I did that? Well, if

150:50 did that, the blue curve would over to fit beside it. That's

150:57 happens to fit right within it. missed it. You got to know

151:04 little bit extra that I said that frequency and that's what we're putting in

151:08 low frequency. We're, we're guessing it. So I'm gonna take these

151:18 see if I can iterate on I take the red, all these

151:24 values and I go ahead and I make me an Avio model.

151:32 the model that you make is going look like this right here. My

151:38 run is going to be that these such smooth curves that there's no way

151:45 gonna get a good reflection. So was our first. But after we

151:51 this 50 times or so, they reach this nice red curve that represents

151:59 blue very nicely. And so when make a model, when they take

152:07 red and make an A vo they what's shown right here. And compared

152:14 the input data, we do a , it's a pretty good match.

152:21 please remember that, that red was important that went in at the very

152:30 . Now, the whole game that to be played here is I drilled

152:38 well and I got 100 and 50 of gas. Hey, don't

152:44 Now, Fred. Keep it going . Ok. So I drilled on

152:48 other side of the fall and I got 80 ft of gas. Not

152:53 good, Fred. Ok. Then went down, dip a bit

152:57 dip and I got 100 and 40 wet sand. You didn't do very

153:02 . Fred can't do that. I don't wanna drill wet sands

153:08 I sure like to get more than half of 80 ft when I got

153:12 150 ft before. So I wanna able to predict where the sand is

153:18 especially the porosity and the fluid So we have all this data.

153:24 go ahead and get what's called a curve. Hay, hay, difficult

153:34 do. The density is extremely unstable it's unrealistic to expect it to

153:46 And that's shown in that the wall and version uh chapter I have but

153:51 we do a threat and what Well, we have some wells that

153:55 knew of. So I come to one, well, that had 100

154:00 50 ft and I look at and it screened. Now over here

154:06 my color bar and it's a pro density color bar and dark green that

154:15 got right at the, well, dark green that is a low

154:22 suggesting a lot of gas sitting in . Then I go across the fault

154:30 there's a well, there and it medium prosy sitting there, medium density

154:38 that might have a little less And then finally I go to the

154:43 hole and it's pretty dense material, all grains, 2.65. But I

154:50 be guessing that one there. We back and said, dang, this

154:55 good. And I got it all you realize, you know how unfortunate

155:04 guy was right here. He drilled dry hole, you know, it

155:10 a drive. So if we had prediction beforehand, all he would have

155:15 have done is moved 100 and 50 east and he would have got a

155:19 of gas. And then looked down , this guy that got 100 and

155:27 ft of gas. Thankfully, he go north 100 and 50 ft or

155:33 would have had no gas or much . So all of a sudden these

155:42 eyes and that are very suggestive, know, does that have something to

155:48 with the parameterization of it? This here and the answer is yes,

155:55 the correlative, another correlative distance. do they call that distance and

156:01 Um It's, it says basically here's will and I'm up here, how

156:17 away are you? And there's a that you get that says that's the

156:25 away. This is a value If you're, if you're within 40

156:32 , use of value is 9/10 of well valued and 1% or 10% of

156:42 seismic data out here, you use of seismic data and 1% 10% of

156:49 weld data. So, so by time you get to this distance,

156:53 not using any weld data at all 100 and 50 ft. It's a

157:01 number that you use. I don't to. But even talking to the

157:06 that did this, uh Brian he says, no, you

157:11 Fred, the density is our suggestion management forces us to put it

157:20 The gas and poor fluid measurement. is Fritz Gassman S equation. And

157:40 we put a dry rock in there , this value is 1.63 and in

157:49 fluid, if I come over here just make that water value like 2.2

157:58 wanna get 5.5 right up here for whole fluid term. So adding 163

158:08 55 like 714. So the velocity like taking a square root of 714

158:15 169, I would be able to water from gas for the more consolidated

158:24 to do the same thing. It out I get 77 and 75.

158:30 are so close. I take the root. What's the problem? The

158:35 is this guy right here. That is so big, he overwhelms the

158:41 . Well, why don't we do ? Why don't we just take them

158:44 the other side of the equation? , you will notice that for unconsolidated

158:50 , I'm going to be able to the difference in these two values.

158:53 , I could do that or even a consolidated rock still, it's the

158:58 . Wow, all you have to is get a seismic attribute that satisfies

159:05 criteria where this number, it's the raw portion, but it, it's

159:15 k there a dry rock portion and seismic attribute that we want, it's

159:26 to be our poor fluid attribute and is gonna be lamb the Ro

159:33 Bill Goodway actually came in and I when he did that, he's a

159:40 has to be in the I think nineties, the bottom line, Bill

159:51 . And this equation he's suggested turns that's the gas man's flu discriminate.

160:00 it is a poor fluid. that number right here. Actually,

160:10 take well data now like we did of the other find a straight

160:15 straighten it out and come up with concept like this is not really

160:19 It's supposed to be 1.32 for Well, but it still is a

160:25 fluid attribute. OK. Let's uh another break of about 10 minutes,

160:37 back around 20 minutes to four. . Folks, we were looking at

160:55 the database to compare various attributes. just had a gas man's um them

161:11 expression as P and P and squared sheer and P and squared with some

161:20 to be determined by plotting data, wells as before. And we're gonna

161:28 at Lamb Dere and find out that this particular example and all those wells

161:39 we want a better best fit type Lambda, so that if you happen

161:47 be in water wet section, it's have a value of zero here is

161:56 equation to use. And instead of for your constant up here, like

162:05 there at the top, it's 2.42 it kinda gives you nice vertical separation

162:15 gas, the red from oil, wet blue and the shale sitting in

162:22 examples. This is from our Uh Bob Tatum professor at UT used

162:31 head up research at Texaco when there a Texaco and in this particular GA

162:39 , he was shown Lamb Doro with particular value and showed that in the

162:45 that he's interrogating, which he outlines the two red sections that the gas

162:52 contact is right down here. And could see the seismic Lauro predicted that

162:59 nicely. And then the blue happens be the continuation of the water wet

163:06 little example. And there are plenty those in the literature or something like

163:11 right here. Extended elastic impedes Connolly Connelly. Remember our British she a

163:29 decided that oh, by the this was in the pub too,

163:36 he's talking to the rep some of guys and he said, you know

163:40 guys team? He says, I , really like the way you can

163:47 the normal incidence reflection coefficient in terms natural log of acoustic of beans,

163:58 natural log of the upper acoustic of . II, I really like

164:04 He said, you know, I really wish I could do the

164:07 like this and say reflection coefficient at degrees and have something very similar,

164:18 like that. And as soon as said that that was the important

164:27 He said, I wanna compute reflection at any angle and I need,

164:37 give you an elastic property that I , but I, I don't know

164:41 elastic property, but I wanna so when I use it just like the

164:47 incidents, I can select whatever angle want and put that angle in elastic

164:54 . And lo and behold, I the reflection at 30 degrees. He

164:59 I, I like that. I like that ugly ZR equation. That

165:05 goes on forever. There's no intuition it either Bord Feld gave us a

165:10 bit but still missing a lot. , what's that? There's a young

165:18 over there that went to Oxford and says, let me handle that.

165:23 says, let me sh show me that Bord Feld equation is and they

165:28 the Mon Richards equation and he came and he says, yep, couple

165:34 later. He said, I know that elastic and be says, here's

165:39 it's made. Here's the P wave , sheer wave velocity density K.

165:47 this VP over vs or vsovp. uh that'll work so he can calibrate

165:57 lasting beams from the wall all Now, remember the elastic impedes at

166:07 degrees is like the acoustic. It at by itself. I guess this

166:16 where I got the idea of an guitar and an elastic impedes, you

166:23 , sort of rhymes you, we have a, well, let's see

166:28 happens here. We have the three that are gonna be necessary to fill

166:39 equation and get us elastic and You can put the in and

166:53 let's see, we need, we got, we got poisons

166:57 So we got sheer in summer. we could just take this, these

167:01 right near and come over here and can compute the regular a vo type

167:08 response. Oh Look at these big , big amplitudes over there. That's

167:16 . And here's the elastic impedance. says, here's our zone of interest

167:22 happened to has hydrocarbon in it. when you compute elastic and bees,

167:28 have a computed for zero degrees. is the A I do do,

167:33 , do we have a computer for degrees? Do, do,

167:37 do? Wow, look at 40 elastic and PS, at 40 degrees

167:43 and PS, that's at zero Well, let's see. This elastic

167:51 40 degrees. It's different from zero . Let's go back a slide.

167:59 Look at 40 degrees. Look at amplitude down here compared to right

168:06 No wonder this is no response hardly all. Nothing compared to what's on

168:12 degrees. Same here. Here's the compete at 40 degrees compared to

168:19 Wow, 40 is big. Now do you get the reflection coefficient?

168:24 easy, Fred, you take this right there and you subtract from it

168:30 right there. So it's this, excuse me, it's this amplitude minus

168:35 , that distance. That's the reflection basically just like acoustic can be but

168:42 nothing big there. That's right. So when we look at it,

168:51 see that reflection coefficient. If we at it, it's normally expressed as

168:57 I plus B sine squared. Theta B right in here is the

169:06 Now we know and I, and can be expressed as a difference of

169:13 and beans. While B the slope gonna be the difference of the gradient

169:19 peas, the gradient in beans is up here. What does it all

169:25 down to? It comes down to some cross plots. I can get

169:31 gradient and feeds right here. I get that from p sheer density.

169:42 this is for we data so I compute this for we data acoustic

169:46 I can get from we data. I can take and make a cross

169:52 of all this data right in here what of gas wet and shall

170:03 And I'm trying to discriminate them and pretty hard. So what I'm going

170:08 do is an axis rotation. I'm put Y prime and X prime here

170:14 . And I'm just gonna take what's this and this rotated. So this

170:20 now gonna be perpendicular right there to X prime axis. So I can

170:27 a single attribute that would separate the from the wet. That's what I'm

170:35 to do. If I go ahead blow that up, I'm trying to

170:42 a separation in here. No, the rotated axis is actually the natural

170:50 of the call. They extended elastic the extent of elastic impede says take

170:59 acoustic and beans and take the cosine kai and take G I and the

171:06 of chi. Now what was A inversion of your N I? What

171:14 G I, the inversion of your ? So how does that work

171:26 Fred it works out that if you seismic data, you can compute the

171:35 and field, you know how to that. You just take the reflect

171:39 seismic data and invert it. What is A I zero? That's

171:45 average, just go through an average . Acoustic beans over 2030 samples.

171:51 what's G I? Well, G is very similar to acoustic and

171:57 A I came from the normal incident I comes from B So B is

172:07 uh what's gonna give us a GG by integration? And we'll have a

172:16 that can vary and that Kai is elastic and beads and that can be

172:24 seismically like this. But what is elastic and fees in that time?

172:34 you set time in that equation, can set it from 90 degrees to

172:40 51 stop, Fred go back. ? I'm going to give you an

172:52 and it's an equation for what's called elastic impedance, the extended elastic and

172:59 with the angle. Kai I know A I is G I is similar

173:06 that was from normal incidents. This from the slope. OK. Ace

173:11 zero. That's just an average of of five. OK. That leaves

173:17 to be explained the elastic impedes from angle right there. OK. Let's

173:23 back. Now, we'll see what tells us. BP says if you

173:29 that Chi value equal to 90 you're gonna get the gradient of beads

173:35 you put that elastic and beans at high value at minus 51 that's

173:41 give us the sheer rigidity. just a second here. How about

173:47 one? Right. Oh, Lambda. That's a good attribute for

173:52 or fluid. If you put chi equal to 19.8 degrees. What's that

173:58 do? It's gonna give us acoustica beans. She and beans a

174:04 variety of them. Well, how that work? You have seismic

174:14 You pick the horizon, say this right here. Now you're gonna use

174:20 and you have a little rotating button you can change the channel on what

174:24 want here. We have Turbos coming and we want them to show.

174:31 we want lithology to show. So get back up to our chart and

174:37 do we pick for lithology? Well, we can pick a over

174:53 that's V PV S VPs is related poisons ratio and Poisson's great ratio is

175:00 to the lithology. So by pulling that kind lo and behold, this

175:09 the seismic section that you will And then it's about what has,

175:17 has a fluid in there. if you set the kind for 12.34

175:25 that happens to be lambda, then gonna get the difference between wet and

175:33 a response. All of it, of this, it's just one surface

175:42 we're looking at with different angles and can begin to see even a little

175:48 tortuosity, meandering streams coming down here the lithology. And that's really neat

175:56 this is instantaneous. You're just turning parameter and you're seeing Mythology Portal and

176:03 just pop up on the screen So you pick horizons in that,

176:08 the button. What do you want look for? Mythology you look for

176:12 what? So elastic competes has a of good values and value in

176:17 Now, there little subtleties in there they didn't tell you about such as

176:24 elastic and pens that you predict is this magenta and you really want it

176:30 be the blue. So you have have adjustment factors for each one of

176:35 and that's slowly varying range. That's not difficult but something you gotta

176:44 So reservoir what we had here, and the pains are the main attributes

176:50 reservoir characterization. Mythology and poor fluid orthogonal and A B. Cross Floop

177:00 two D matrix provides separation for lithology four fluid clusters. We showed you

177:08 to 11 design, one section had poor fluid and mythology in it.

177:17 factor can be quantified in the reflectivity . And the other thing, it

177:23 the ability to separate fizz from economic , another attribute and we've tried that

177:31 and it does work. No, total success but it works. Lambro

177:38 is equivalent to Gasman fluid modulus which separate from the dry, rough on

177:51 . The A IG I extended elastic beams illustrates that two elastic constants A

177:59 and G I can generate other elastic from seismic data. It's similar to

178:09 that Bach merges in sheer rigidity can all of these poisons ratio and other

178:16 of attributes. But IIBP did a job back in the nineties or late

178:25 putting this together. So the interpreters a really neat tool uh that once

178:32 get their horizons mapped in that, they can now look for lithology and

178:37 fluid fairly simply. Mhm It's often there are various inversions. When should

178:52 use them? Well, any exploration or the development. And this is

179:00 opinion of Rocky Road. Once that's the Pete Ross Consortium for Risk

179:09 . And the one that we talked and pains, they sit in the

179:17 of exploitation, simultaneous inversion exploitation, development inversions. He kind of has

179:33 . It's simultaneous inversion. GEOS statistic he's right here development. You gotta

179:41 a lot of wealth in order to these work. Um And I don't

179:49 comfortable with them because GEOS statistical inversion you the high frequency things that aren't

179:55 there. Oh You can filter it off and you get back to your

179:59 data. But I just have a time saying how am I gonna use

180:15 ? OK. That's all I have this section. 61 are there any

180:29 ? Ok. Audience oversees any Ok. Um ok. I don't

180:49 any more. I think I've beat in D for today, you

180:56 after seven hours, 6.5 hours, , it, it's kind of tough

181:01 take new, more material. Um will cover some more next Friday,

181:09 then I like to spend time for that has questions on the quiz and

181:17 take time to go over that. I'm especially gonna work on things that

181:28 have to write out since you can't the program tips anymore. Some of

181:37 , some of you don't have real . You had that funny thing called

181:41 and oranges? I don't know. kidding. Just kidding. No,

181:46 not. I'm serious, folks. you have anything in here in the

181:54 participation? Anything you wanna share with overseas? Yes. The one thing

181:59 want to share is this room It has for moving air. It's

182:08 most stuffy room. Uh, we down the other end of the hall

182:15 it's colder and it's so much easier you down there. Oh, everybody

182:23 sleep here. At least I Ok, folks. Uh, I'll

182:28 here for a little bit if you any questions. We're glad to answer

182:33 . Uh Hey, hey, I'm sorry. So you, you

182:37 , uh, you want us to on the study guide and try to

182:42 those questions the next week you will a time aside to go over any

182:47 we have from doing. Absolutely. why I gave it to you.

182:51 . Uh, usually give it a earlier than I did this one at

182:56 time. I apologize. I got , uh, on some work

183:01 Uh, uh, you know, companies want to work but they don't

183:05 to pay me. But that's And then will we have a quiz

183:11 Friday on the last handout? You a quit next? No,

183:21 I'm not gonna give you a Friday. Ok. Because yeah,

183:26 like one more handout to read but read it. No, it's,

183:29 well read it because it's part of might be on the quiz,

183:34 the final for final. Yeah, particular in chapter seven, you're gonna

183:39 something about rotating axis. In other , I'm gonna move a particular Avio

183:52 into a class two from a class type of thing. Uh, and

183:59 kind of a neat little trick to at. It's basically what I've been

184:03 rotating the axis. You're trying uh get to the wet response and

184:12 , that happens by getting into the quadrant, read the article. It's

184:19 , um, it's an article by Ver and myself. I think it

184:28 . I think that's the one you to read. What is the reading

184:33 ? So, I think, I that was the one we did for

184:36 week. And then there's one more was Foster and Keys. What,

184:41 the, what's the reading assignment for variety? Foster and Keys?

184:46 And what, what else? That's . What discs, disc seven?

184:55 , it doesn't say any disc. , it might be in chapter

185:12 I'll take a look at it and you know. So I'll be

185:17 There's just so much data. so, so much information. All

185:28 . Take care. drive carefully, safe. Thank

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