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00:01 this conference will now be reached. conference will now be recorded. All

00:07 , so this is where we were time we were talking about the greatest

00:11 discovery of all time. That they a Nobel prize in geophysics. I

00:18 would have won it for the mud line and the great revelation. The

00:24 surprise was that tickets trend for sand which was a peer. Where is

00:36 ? There? It is. so fiddle line to pick its sand

00:42 . This is what graduate students We, you know, have to

00:46 every point there, fit a line it. And uh where were

00:56 And got that? And it was on the mud rock trend. It

01:02 out that sand stones plot in the of the mud rock line. If

01:08 very clean, by clean, I courts, primarily courts. If they're

01:15 and porous and dominated by aspect ratios the order of 1/10 they fought slightly

01:25 the line. If they're felt static a little bit of carbonate or dirty

01:34 clay, they could plot on or the line. And the more

01:39 the more feldspar, the further above line it will pull you uh keep

01:45 mind these are brine saturated sand which is going to be very important

01:50 what we're going to see is when add gas to a sandstone, we're

01:55 to drop the D. P. . S ratio below the mud rock

01:58 . So the mud rock line gives a very good background expectation and that's

02:04 it was important. And in fact I came up with the mud rock

02:08 , I was thinking about a I was thinking about what is the

02:13 , a video response that I should from seismic data and how to hydrocarbons

02:22 from that background response. So, we were, I was working in

02:28 gulf of Mexico at the time, dissertation data was from the gulf coast

02:34 in the Gulf of Mexico three of dominant with all minerals our courts,

02:43 and soft. And it turns out all three of those fall on the

02:48 rock line and in fact feldspar as well. So there's not a lot

02:56 on unless you've got a cal Karius or a limestone will pull you above

03:04 line or if you have hydrocarbons will you below the line. So this

03:09 why it was important. This is I got used and I would like

03:13 point out that the reason it waited me to come along to have this

03:25 is because I had the data early . So as the data was trickling

03:33 , I was forming these ideas with , without being at the bleeding edge

03:39 the data pushing the data at the extremes and grabbing every data point I

03:45 and trying to figure out what was on. And I would not have

03:50 to this realization early on. And became a fundamental basis for a lot

03:57 the video analysis that was done and lot of the hydrocarbons that were found

04:03 primarily on the deviation from the mud line. Uh These were some of

04:11 early data points I have. These full wave form sonic data. Uh

04:17 are gulf coast data and you notice fly below the mud rock line.

04:24 It will see why later. This a paper that came along at a

04:32 , say some of the first full form sonic data that slumber shape

04:38 And you notice a lot of the are right on the mud rock

04:41 but there is some tendency to plot below the line. So we'll come

04:46 and we'll see why that can This was some of my dissertation

04:54 it was frio formation and there was lot of scatter in these in these

05:01 , but you know pretty much right the mud rock line, with the

05:05 of some points here, which plotted the line. It turned out that

05:11 had some free gas saturation in that . These were laboratory measurements and we

05:25 Iraq Physics lab at Arco and basically together all the lab measurements we had

05:34 these were in water saturated sand And you can see that as a

05:41 , if you knew nothing about the , if you just knew it was

05:44 sandstone didn't know anything about the You would see that you pretty well

05:49 along the line. So, sand have very similar V. PBS

05:54 Two shells. Remember pickets trend 1.6 1.7. Well up here, that's

06:02 kind of the PBS rates that we . But down here, look at

06:06 B. P. B. Ratios you're getting and these are in

06:09 stones. Right? So five More or less there be PBS gration

06:16 five. And as I said, time I've seen v. PBS ratios

06:21 high as 40 in the very shallow marine sediments. Okay, so

06:31 they're scattered. That's fine. Later we'll understand that that scatter later

06:36 we'll be able to predict very precisely the B. P. V.

06:41 ratio will be if we know Remember all we know at this point

06:44 the point is that these are sand . As I said, uh If

06:49 have some carbonate in the, you , some carbonate cement, it can

06:53 you up if it's very clean, can pull you down. No rock

07:03 experimental data set would be complete without on Maria stand stone. And so

07:11 had a few measurements on water saturated sandstone. This was these are all

07:16 same sample at different pressures and here's mud rock line and bury a sandstone

07:23 very clean sandstone was right on the rock line except at very low

07:28 It goes above the mud rock Okay, that's something else I had

07:33 spoken about when I was talking about pulls you above the line. Uh

07:38 show you this later. I'll prove to you later that if I have

07:42 filled very flat pores, it will you an anomalous li hai V.

07:48 . So oil fields or water filled pores uh like fractures give you an

07:55 high V. P. S. . Whereas gas filled fractures give you

08:00 abnormally low PPB S ratio. And what we see. Uh You

08:06 these are measurements on the same sample different pressures. This is dry now

08:10 , it's not oven dry, it's dry. But the b.

08:15 s. ratio was significantly lower. 1.5 and it's independent of pressure.

08:23 in the water saturated rock, the . P. S. Ratio is

08:28 pressure dependant how it's moving you up down the line or above the line

08:34 you get to really low pressure. in the guest or the dry sand

08:41 it doesn't matter what the pressure You have a low P.

08:44 P. S ratio. So we're to try to understand that why the

08:48 in behavior between water saturated sand stones dry sandstone. Now we got a

08:57 of verification from around the industry and was some work published by chevron and

09:07 . These are the guys that first a video. The first paper on

09:12 analysis was for most stranded at So they were very interested in what

09:17 V. PBS ratios were. So made a lot of measurements. They

09:22 laboratory measurements, log measurements across all . And they also had measurements and

09:28 stones um you know, remarkably close the mud rock line. Especially these

09:36 high B. P. V. . Ratios measured cross hole in the

09:41 days. We didn't have logs at very low velocities. We didn't have

09:47 wave velocity logs. Uh So but use cross hold measurements and very much

09:54 on the mud rock line. I have people uh bump into me in

09:59 and uh tell me that uh mud line was working for them. It

10:06 kind of funny, you know, introduce you, you meet somebody in

10:10 airport as soon as I mentioned my , they say oh yeah we use

10:14 line and it works pretty pretty So it became pretty ubiquitous. This

10:22 more data from Chevron. And here used a multi component seismic data from

10:30 component data. If you have P. Sections and Bs sections,

10:34 hard to measure BP and it's hard measure VFC from seismic data. How

10:40 you measure VP? Well, you uh interval velocities right from from normal

10:45 out. That's usually pretty inaccurate and low resolution. On the other

10:52 if you have can pick horizons on P wave section and pick horizons over

10:59 same depth interval if you could get in and make sure you're picking the

11:04 event on the p wave section and wave section, just from the travel

11:09 ratio that directly gives you the P. V. S ratio.

11:13 I get the shear wave travel time top to bottom of the layer and

11:17 few wave travel time from top to of the layer. So from the

11:21 I can directly measure the V. . V. S ratio. So

11:25 what Chevron did here and they had number of layers where they had reflections

11:30 top and base. You see these interfaces that will give you good

11:35 And they were able to get the on the P wave section and on

11:39 share wave section and measure the P. V. S ratio.

11:43 it was precisely what the mud rock would have predicted. Okay now,

11:54 we looked at the porosity and clay dependence of BP and Ds.

12:03 we saw in the free information I these the Eastwood equations because he's the

12:08 that did this regression. And and got nice relationship between buying clay ferocity

12:18 VPN Bs. And these relationships were similar to laboratory relationships that society came

12:27 with at stanford uh in fact messiahs uh was from a wide variety of

12:37 that were competent enough to core plug make laboratory measurements on. So in

12:46 they're very different shells. These are formation uh shells and silt stones and

12:53 sand stones etcetera, we came up these relations and these are more like

12:59 well liquefied shells and uh you know similar relationships. Now given these relationships

13:10 could then as a function of volume and ferocity. You can then plot

13:16 V. P. V. Relationship. And so that's one of

13:21 homework assignments is to do that. use these two sets of equations And

13:28 varying porosity over a reasonable range and volume of clay from 0 to

13:35 See where these uh equations plot on D. P versus V.

13:41 Cross plot. So that's your exercise . Uh You can do it for

13:48 courts pure clay in 50 50. be clave zero the clay of one

13:55 the clay of 10.5. So you have three V. P.

13:59 S. Curves for the for the of formation and three Bp versus

14:04 S. Curves for to side as measurements. And what you'll get is

14:13 plot like this. Um And I , okay, these are too

14:19 All right. And so the mud line is the black curve. So

14:25 you're very porosity for zero volume McLay is putting you on the mud rock

14:33 and you increase the porosity here are ferocity for Volume McLay of one and

14:43 still puts you on the mud rock , this is some points are

14:47 some points are below. But overall you look at the full range of

14:52 and volumes and volumes of play. puts you on these lines. So

14:58 just want to see you generate these but the answer should look something like

15:08 . Now understanding these V. PBS . I mean knowing where the minerals

15:16 on these lines is important. So plots there, course plots there.

15:25 Well of course and size equations plots , that would be zero porosity

15:33 This would be zero porosity clay. end of those lines. So here

15:38 some uh measurements on minerals and it be worthwhile to see where these oh

15:45 on a VP VS. Bs. . Also we have some values for

15:52 that have been inferred. These are to 100% clay. Um So anyway

16:01 p. P. P. Ratios for Claes. So it be

16:05 to see where these clot relative to mud rock line. So we could

16:10 some expectations here since rocks are aggregates mineral grains, we expect the velocity

16:19 a highly liquefied, low porosity rock depend strongly on the velocities of the

16:25 . So as we go towards zero we should go towards these points we

16:36 expect velocities of unconsolidated rocks with higher to be weakly dependent on the

16:43 Philosophy more dependent high porosity more dependent the ferocity degree of lift ification

16:52 As a result though, on a . P. B. S cross

16:56 . If I have a monumental alec and it's a water saturated rock,

17:03 expect one endpoint uh huh. To that of the mineral. Right?

17:11 the other endpoint should approach water. should show a V. S.

17:15 towards zero And the VP trending towards P wave velocity of water. And

17:22 pretty much what we have over It's not precisely water but it's in

17:27 vicinity of water. Water is This intercept is 1.36. So in

17:33 the curve has to bend To be for at 100% porosity, right?

17:39 has to them. Okay, so could look at these trends where we

17:52 the composition better. So this is V. P. B.

17:56 Relationship for clean court sandstone. There's such thing as 100% coarse Sandstone.

18:04 ? Or if they exist there are few. So what we did is

18:09 took sand stones that were 90% or courts. That still means there's They're

18:16 , you know, clay, if structural 10% clay could still have a

18:20 impact on velocity. But anyway, narrow things down as far as we

18:26 . And in fact, if you a regression on composition, you could

18:30 uh take, you know, You then extrapolate to 100% courts. That's

18:36 what was done here. What was here was just fit a line to

18:41 clean sand stones. Right? In , that's what we were allowed to

18:45 . In fact, internally, we use these trends. So these have

18:52 come to be known as the Greenberg trends which are also used quite a

18:58 in industry to predict your way We didn't use these trends. We

19:03 regressions against composition. And so the we had were proprietary and never

19:11 So they're not out there in the , but it's something that could be

19:15 relatively easily, more or less taking envelope of these lines. So this

19:21 sam stone. Uh And it's a relationship. And we're going to come

19:29 and we're going to try to understand this is a linear relationship. Although

19:34 think you can see it's trying to back, it's trying to swing back

19:38 water here. All right. But most of the range, it's

19:43 And in the end, our explanation it's linear because it's fortuitous. Uh

19:51 I'll try to explain that a little more as we come back. It

19:54 to do with what is the P. S ratio of courts versus

19:58 V. P. B. S for a dry sand pack. Um

20:03 the other hand, limestone where the . P. S ratio of the

20:08 is very different from the V. . V. S ratio of a

20:12 pack of rounds calcite grains. What is limestone swings non linear.

20:21 for high velocity lime stones, pickets is avi PBS ratio at 1.9.

20:27 actually works better then the polynomial fit all the data. So I like

20:33 use pickets trend if I'm in liquefied , it's only if you get too

20:39 marine sediments. Where you're talking about limestone is those kinds of things,

20:46 , etcetera. Where you have to about this curvature here. So I

20:51 typically break the limestone into two types limestone. I use pickets trend and

20:58 abide limestone, I then used the that and again you can see is

21:05 to swing back towards water there. so you could ask yourself why is

21:10 linear for sandstone through most of of . But there's this distinct bend,

21:16 for limestone. Um I think we'll that as we look into this a

21:22 bit more deeply. And uh this the line we had for Pew pure

21:30 . Now, what is a pure ? Um Obviously no shell is 100%

21:39 mineral. Right? And so we elude. Somehow they let us publish

21:43 idea that you really if you're trying predict the velocities from volumes if you've

21:51 your volume of clay mineral correctly, should be using a pure clay

21:57 And so we drew a hypothetical play as just being the envelope of these

22:02 there. Uh And that's as far we were allowed to do. We

22:07 never allowed to actually publish what that was. And here's the line for

22:15 . The dolomite data, we had uh the Dolomites we had were significantly

22:24 V. P. V. Ratios than uh pickets trend. So

22:28 might want to compare what this equation vs Pickett, who predicted 1.8 for

22:35 for double line. Okay, so uh flooding all of these points on

22:45 . B. P. D. versus BP cross plot. Some people

22:49 to uh use a B. D. S versus P. Wave

22:53 cross plot. I kind of like because it's a proxy for death because

23:00 the P. Tends to increase with . So deep rocks should be doing

23:05 , shallow rock should be doing And there's a lot to be learned

23:10 this diagram. First of all notice the gas damn D. P.

23:17 . S ratio is invariants. I'll back. I'll prove that to

23:22 I'll show you measurements, um Dry sounds and also we'll do things like

23:28 substitution and predicted the PBS ratios for sands. And you see they're independent

23:35 the velocity, low velocity gas civil oV PBS high velocity gas sands

23:41 a low V. PBS. On other hand, the brine, saturated

23:47 behave differently. Shallow. We see strong dependence of the D.

23:52 D. S ratio on the Wave velocity as we get as we're

23:58 and getting deeper. The V. . V. S ratio has dropped

24:03 . Um until we become fully Then when we're let me say,

24:09 identified when you were in well lit rocks. The little logic effect,

24:14 changes in V. PBS, doodle can be greater. Then the change

24:20 B. P. B. S the hydrocarbon. So, for

24:23 here Gayle sent to the higher the ratios than sand stones. More so

24:31 gas sands are, the B. . V. S ratio is

24:35 So I have an over print of effects on top of fluid effects.

24:41 this makes fluid detection in these kinds environments very tough. I could have

24:47 beautiful HBO anomaly. HBO would show where the anomalous Lobi PBS ratios

24:55 That could be due to a brine sandstone. In fact, studies have

25:00 Allen and petty in their A. . O. Book showed that the

25:04 common false Avio result where you have false positive Avio indication, the most

25:12 results or the most common reason for false positive is clean brine saturated sandstone

25:21 these clean sand stones have a lower . PBS ratio than the shells.

25:29 that effect is actually bigger than the effect in the sandstone. So,

25:33 well, at the five rocks, careful, the PBS could be a

25:38 with ology indicator. In fact, been surprised at how useful Fabio is

25:44 reservoir characterization, predicting reservoir properties. huh. I can't really won't get

25:53 why that was so surprising in But if you take my dhe course

25:57 semester, we'll talk at length about reliability of HBO attributes, etcetera.

26:11 , now there's something else that pulls below the mud rock line and that

26:15 uh organic matter in hydrocarbons in the . All of the none of these

26:24 here, sorry. None of these . And none of the values in

26:28 mud rock went line where organic and it's hard to separate the effect

26:34 the organic matter directly in the effect hydrocarbons directly, But the net result

26:40 the two is Shale reservoirs tend to an abnormally low BPBS ratio. What

26:48 would compared to what you would expect 100% frying saturated shale. Also,

26:55 you take your 100% brine saturated shell predict uh using fluid substitution as well

27:03 later in the course, predict the trend you would have for gas

27:09 Uh the the PBS ratios we actually tends to be intermediate between those and

27:17 when we talk about gas meant equations fluid substitution, hopefully we'll have an

27:23 as to why you don't get the gasman effect in shells. Even coals

27:36 a well defined the PBS relationship. so we have a trend for cole's

27:42 tried using uh this cold strand to shear wave velocities in organic shells.

27:52 we found that this Schultz coal trend not quite right for the organic matter

27:58 shells. And so we have a separate trends for the organic matter in

28:04 , but that, you know, covered that last semester in our unconventional

28:10 rock physics class. Uh I'm not if we'll have time to talk about

28:16 too much this semester. Even So here we had toughs in Oregon

28:27 uh toughs at a nuclear waste Um and similar trans there. Now

28:38 VPs relationships are quite different from the density relationships. Remember we have all

28:46 different VP porosity or VP density transforms wildly. Gregory and Garner Rayburn Hunt

28:54 would like equation critical porosity model, ? We have all these different equations

29:00 any equation you use, there's always lot of scatter around that equation.

29:06 equation you use to transform velocity to is very locality dependent. It depends

29:14 all the things we talked about all different factors, uh, poor

29:21 um pressures, etcetera. Um what find is the V. P.

29:27 . S relationships tend to be pretty and the deviations we get in a

29:35 mythology. The deviations we get are small. So the V.

29:41 V. S relationships are more The big swinger in these relationships.

29:47 big swingers are hydrocarbons tend to lower V. P. V. S

29:54 pressure ferocity. Things like that move up and down the line. They

29:58 move you off the line very much the exception of fractures, very flat

30:04 filled fractures, we'll give you an lee, high ppd s ratio.

30:12 . But based on these trends, what we find is that with ology

30:19 is best at high velocity. So our little ology discrimination and hydrocarbon effects

30:28 best at low velocities. And the between gas and brian is very

30:35 high velocities. So this was an data set uh that where we had

30:47 amazing sonic log data these days. data, it was an experimental sonic

30:53 tool that was developed by a french Elf Aquitaine. And they actually had

31:01 receivers. So they were able to very accurate velocity. So it was

31:07 very interesting data set. And these measurements they made in the paris basin

31:13 we've got different mythologies. So we've sand stones and shells and they're plotting

31:21 along the mud rock line here we've lime stones and we've got clean lime

31:28 that fought on the limestone line. is pickets limestone line. Uh We've

31:34 Dolomites. They fought in between just Pickett found you have some lime stones

31:40 flat in between. And I would these are sandy or Shelly limestone,

31:45 ? Clay And courts will pull the . P. B. S.

31:49 down. So they are essentially indistinguishable dolomite. So if you're looking for

31:54 dolomite reservoir, you may wind up a Shelly limestone. Um But one

32:00 interesting thing. Salt. These are salt values and they're right on the

32:07 rock trend, which is kind of in the gulf of Mexico. All

32:15 now remember there is a 1 to relationship between the V. P.

32:19 . S. Operation, one person's . So the same kind of plot

32:23 showed before uh can be uh plotted terms of Hassan's ratio versus P wave

32:32 and a favorite thought uh that people to use this cuisines ratio versus P

32:37 impedance. Anyway, the same exact can be drawn. This is from

32:43 and Pettis. Uh book a video . Um they give a range for

32:49 sands. I had a line uh know, 1.5 but but those were

32:55 clean guests. And if you have guests and you could actually have higher

33:01 since ratios. Okay, so these the single length ology lines,

33:11 The ones we've looked at limestone. , Singer stone shell. Uh

33:16 Most we could just use a simple equation. If we want to include

33:20 velocity lime stones, we have to non linear. But you could use

33:25 be PBS equals 4.9. If you're high velocity limestone. So you're going

33:31 need these equations for your exercises, come back to that. But I

33:41 to try to understand what's going on try to understand why we have this

33:50 line that we do. And try understand whether we should be on the

33:54 rock line below the mud rock line slightly above it. And a place

34:00 start is with dry stand stuff because don't have the complication of the

34:06 And so these are laboratory measurements in sand stones. And they give a

34:14 . p. v. s ratio essentially 1.5, which is about a

34:19 ratio .1. So that's pretty typical dry rocks. And by inference,

34:24 we talk about gasses, uh, substitution, that's what we would expect

34:31 . You know, gas saturated If we're shallow with the dry

34:35 we should expect similarly. PBS ratio we have in dry sand stuff.

34:42 , that is a starting point for understanding. But why why should this

34:49 PBS ratio be so constant to dry stones? Well, let's think about

34:57 different regimes here. We've got well the five rocks and we have poorly

35:03 rocks. Remember we said that as get go towards zero porosity, we

35:09 approach courts. So courts is somewhere here. So going towards courts makes

35:17 . And As velocities go to Uh, you know, the

35:27 the velocity of air, say shear velocity of zero P wave velocity virtually

35:34 . Not quite remember. Sound travels air, right, But you expect

35:40 go towards 00. So the in are kind of to be expected.

35:47 you know why not a line in . But let's actually talk about what

35:53 packs will do here. And then talk about what crack solids do up

35:59 . So let's talk about sphere We've done these, we've looked at

36:03 , these are different packing. We the most poorest packing. The loosest

36:09 . Simple cubic. We have a close path face centered cubic. These

36:15 both very dense packing. And we calculate using physics, if we have

36:25 regular packing like this, of uniform , spheres of the same size,

36:32 the math becomes relatively easy. And have equations that will tell us what

36:37 V. P D. S ratio the sphere pack should be. As

36:42 vary the grain Hassan's ratio. And at the range of persons ratios we

36:47 here, we have no no mineral a negative response ratio. So we

36:53 the full gamut from zero where I'm Square Root of two. Uh all

37:00 way to .5. All right. what you find is that as the

37:09 Parsons ratio gets lower the range of pack, Hassan's ratios becomes very

37:17 In fact, what is a grain ratio? .5, that would be

37:21 liquid bubble. So, so, I could have uh grains that are

37:28 almost liquid. Right? Almost I still have a low V.

37:34 . B. S. Right, here. So, what we find

37:40 that for dry sphere packs? What I mean by a dry fear pack

37:47 liquids. Right? These are almost . But they have Aaron between

37:52 right? The liquid droplets or perfect . And they're they're in a regular

37:58 with Aaron between them. Very But even that you would expect that

38:04 give you a V. P. . S. Ratio. Uh

38:09 Hi uh response ratio. Right. did that act like a liquid?

38:14 in fact this is what the spirit equations give you. So no matter

38:19 I do, no matter what my is. The sphere pack has the

38:25 V. P. V. Ratio. Remember these can say for

38:28 these could be calcite grains. Castlight a d. p. v.

38:33 . ratio of 1.9. Maybe I'm here someplace my my beer pack of

38:40 grains still has a low B pediatrician below 1.5. So maybe it's not

38:49 that these uh lose sediments that are like spear packs have Lovie PVS

38:57 So maybe I could understand this And remember court says the low

39:05 P. S. Ratio. And then start at the other extreme and

39:11 to work down from the courts Oh by the way before we do

39:20 we could do some experiments and we say what does what would low aspect

39:27 do to the D. P. . S ratio. So I have

39:31 dry line which is a v. . b. s. ratio.

39:35 . I've got dry fan stone measurements a variety. These are the open

39:41 here at high pressure and low pressure they're right on Constantly PSS ratio at

39:51 . Now I'm going to take this dry rock and I'm going to heat

39:58 very hot and then I'm going to it very fast. I'm going to

40:04 it. And so you have a of thermal expansion and contraction. And

40:09 you do that, you crack the , you introduce micro fractures. So

40:15 happens is you lower the velocity if lower V. P. And

40:19 S. But look, it just you the heat cycled experiments that have

40:24 fractured, move you down the trend . Still have a low b.

40:32 . b. s. ratio So in a gas saturated rock,

40:38 gas penetrated Iraqi air is a you know, fully gas that traded

40:44 where you have a very compressible gas air. Uh huh, adding micro

40:50 . Doesn't change the V. V. S ratio. Therefore opening

40:54 closing. Microfractures won't change the P. B. S ratio.

40:59 changing the pressure, won't change the . P. B. S.

41:06 . Okay then we could start with appear and we could add microfractures

41:14 So we could do, you these are complicated equations but actually it's

41:20 a matter. It's just complicated Very complex equations, but easy equations

41:28 that sense. So it's easy to up and you could compute as you

41:37 more and more ferocity and we're in case we're using Iraq with an aspect

41:45 distribution and particular rock was Boise stance just to have a representative range of

41:54 ratios uh for a stamp down and add more and more, greater and

42:02 concentration of these aspect ratios. And see that it doesn't change the

42:09 P. D. S ratio very . You have to get to extremely

42:13 concentrations in order to lower the P. V. S ratio somewhat

42:20 pretty well constant. So what can conclude courts as the VP administration at

42:26 cracked courts has a V. V. S ratio 1.5. Low

42:31 ratio courts. A lot of that has a V. P.

42:36 S ratio. At 1.5 sphere packs a V. P. V.

42:41 ratio 1.5. And so our argument that the reason that this is a

42:47 line is the fortuitous fact that courts spear packs have a very similar

42:54 PBS rations. Had my grain bin . I would this line would have

43:00 to ban from a low V. ratio for a spear pack of

43:06 It would have to veer off towards calcite point. All right, so

43:12 dry line been a line as opposed a curve mm then will help explain

43:24 are fully brine saturated line is what is, is a line.

43:32 So that's what I've got for Do check to see if the recordings

43:39 working for you. Report back to one way or the other.

43:43 it worked. No, it's at one of you let you know it

43:46 . So I know you're getting it we don't have to deal with it

43:48 the last minute. It was a work. Okay. Yeah, I

43:53 working for me. Oh, Great. Okay, Good.

43:58 uh, that was an adventure for . I have to say being an

44:01 guy. We're not very tech you know, so, uh,

44:06 this one anyway, I'm pleased about . Okay. Are there any questions

44:11 I go? Good question on evolved the class next semester. Excuse

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