6 papr849 yan

5
Some consideration about fluid substitution without shear wave velocity Fuy ong Yan*, De-Hua Han, Rock Phy sics Lab, Unive rsity of Hous ton Summ ary When S-wave velocity i s abs en t, app roxi m ate Gassm ann equ ation using P-wave modulus i s recom me nde d by Mavko (1995) to calculate the fluid saturation effects. Using both lab d ata a nd l og data, our study shows that the approxima te Gassmann equation might introduce significant error in fluid saturation effect prediction except for unconsolidated rocks. Using S-wave velocity estimated by existing techniques, with sam e i nput pa rame ters, the exact Gassm an n equation should provide m ore reliab le estimation of fluid saturation effect than that predicted by approxima te Gassma nn equa tion. Introduction Gassmann equation is regularly used to predict fluid satu ration effect in the industry, but it nee ds input of both compressive wave veloci ty and sh ea r wave veloci ty to calculate shea r modulus and bulk modulus. Gassm ann equ ation i s often applied on log da ta to m odel the se ism ic resp onse due to pore fl uid variation. But in practice, qu ite often the shear wave sonic log is missing for various reasons, especially for old log data. To handle this problem, Mavko (1995 ) brought up a n ap proxima tion of Gassm an n equation: ( ) f f d ry dr y sa t sa t M M M M M M M M M + 0 0 0 φ (1) Where M repre sen ts the P-wave m odulus, an d M sat , M 0 , M dry , M f are P-wave m odulus of the sa turate d rock, the mineral, the dry rock and the pore fluid respectively. Using lab rock physics data me asu red by Han (1986), we found the absolute velocity error of the predicted P-wave velocity indeed is very small, several percent of the value predicted by exact Gassm ann e qua tion. But the veloci ty chan ge ca use d by pore fl uid cha nge (the fluid saturation effect) might also be only several percent of original velocity before fluid substitution. So this error estimation is mislea ding, inste ad we should compa re the fluid sa turation eff ects predi cted by exa ct Gassm ann e quati on and app roxi m ation Gass ma nn eq uation. By doing so we found that the approxima te Gassm ann equa tion system atically over estimate d the fluid sa turation effects, and m ost often the ve locity error introduced by ap proxim ate Gas sm ann is mu ch bigger than the fluid saturation effect pre dicted b y exact Gassm ann eq uation. Alterna tively, we ca n e stim ate d th e s hea r veloci ty using existi ng techn ique (Greenb erg and Casta gna , 199 2; X u and White, 1994), and the n use exa ct Gassm ann to pre dict fluid saturation effects. Using both lab data and log data, we found that a s long as the the estimated s hear wave ve locity is not unreasonably unacceptable, it will always provide more reliable estimation of fluid saturation effect than the approxima te Gassma nn equa tion. Fluid substitution with approximate Gassmann equation In order to check the vali dity of the a pproximate Gassm ann eq ua tion, we fi rst ap plied it to Han s da ta. Here we do n’t consider effects of dispersion, differential pressure, hydration of clay m inerals an d et a l. Thus we choose the data m easu red at confi ning pressure of 50 MPa a nd a t 100% water saturation, and then a ssum e 50% of the pore fluid is re placed by g as. The approxima te Gassm ann equ ation using only P-wave ve locity and e xact Gassm ann equ ation using b oth P-wave and S-wave velocities are applied to calculate the fluid saturation effects respectively. Parame ters use d in the ca lculation are li sted in Tab le 1 .  Table 1: Pa r a m e t ers use d in fluid sa t ura t ion e ffe c t calculation K water  2.25 GPa K quart  37 GPa  ρ water  1.01 g/cc μ quart  44 GPa K g as  0.081 GPa K clay  21 GPa  ρ g as  0.197 g/cc μ clay  7 GPa Figure 1 shows the comparison of P-wave velocity (at Sw=0.5) calculated by the a pproxi ma te an d exact Gassman n e quations. The velocity computed by exact Gassman n equa tion is assum ed to be correct and used a s reference. The velocities error is defined the difference betwe en the P-wave velocities ca lculate d by exa ct and approxima te Gassmann equa tion respectively. The me an square error relative to the correct velocity is about 2.23%. From Fi gure 1, it see ms that the approxima te Gassm ann equ ation did a good job in e stima ting th e ve locity after the saturation has be en cha nge d. I n Figure 2, we ma ke a blind guess that the P-wave veloci ty does not chang e after 50% of the wa ter is replaced b y gas. Compa ring Figure 1 a nd 2, we can see that ge nerally our blind gue ss performs be tter than the approxima te Gassma nn e quati on in estimating the velocity after pore fluid saturation change. Thus Figure 1 is misleading in evaluating the validity of the approximate Gassmann equation. 2741 EG Denver 2010 Annual Meeting © 2010 SEG Main Menu

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Some consideration about fluid substitution without shear wave velocityFuyong Yan De-Hua Han Rock Physics Lab University of Houston

Summary

When S-wave velocity is absent approximate Gassmannequation using P-wave modulus is recommended by Mavko(1995) to calculate the fluid saturation effects Using bothlab data and log data our study shows that the approximateGassmann equation might introduce significant error influid saturation effect prediction except for unconsolidatedrocks Using S-wave velocity estimated by existingtechniques with same input parameters the exactGassmann equation should provide more reliableestimation of fluid saturation effect than that predicted byapproximate Gassmann equation

Introduction

Gassmann equation is regularly used to predict fluidsaturation effect in the industry but it needs input of bothcompressive wave velocity and shear wave velocity tocalculate shear modulus and bulk modulus Gassmannequation is often applied on log data to model the seismicresponse due to pore fluid variation But in practice quiteoften the shear wave sonic log is missing for variousreasons especially for old log data To handle this problemMavko (1995) brought up an approximation of Gassmannequation

( )f

f

dry

dry

sat

sat

MM

M

MM

M

MM

M

minus

+

minus

asymp

minus000 φ

(1)

Where M represents the P-wave modulus and Msat M0Mdry Mf are P-wave modulus of the saturated rock themineral the dry rock and the pore fluid respectively

Using lab rock physics data measured by Han (1986) wefound the absolute velocity error of the predicted P-wavevelocity indeed is very small several percent of the valuepredicted by exact Gassmann equation But the velocitychange caused by pore fluid change (the fluid saturationeffect) might also be only several percent of originalvelocity before fluid substitution So this error estimation ismisleading instead we should compare the fluid saturationeffects predicted by exact Gassmann equation and

approximation Gassmann equation By doing so we foundthat the approximate Gassmann equation systematicallyover estimated the fluid saturation effects and most oftenthe velocity error introduced by approximate Gassmann ismuch bigger than the fluid saturation effect predicted byexact Gassmann equation

Alternatively we can estimated the shear velocity usingexisting technique (Greenberg and Castagna 1992 Xu andWhite 1994) and then use exact Gassmann to predict fluidsaturation effects Using both lab data and log data wefound that as long as the the estimated shear wave velocityis not unreasonably unacceptable it will always providemore reliable estimation of fluid saturation effect than theapproximate Gassmann equation

Fluid substitution with approximate Gassmannequation

In order to check the validity of the approximate Gassmannequation we first applied it to Hanrsquos data Here we donrsquot

consider effects of dispersion differential pressurehydration of clay minerals and et al Thus we choose thedata measured at confining pressure of 50 MPa and at100 water saturation and then assume 50 of the porefluid is replaced by gas The approximate Gassmannequation using only P-wave velocity and exact Gassmannequation using both P-wave and S-wave velocities areapplied to calculate the fluid saturation effects respectivelyParameters used in the calculation are listed in Table 1

Table 1 Parameters used in fluid saturation effectcalculation

K water 225 GPa K quart 37 GPa

ρ water 101 gcc μ quart 44 GPa

K gas 0081 GPa K clay 21 GPa

ρ gas 0197 gcc μ clay 7 GPa

Figure 1 shows the comparison of P-wave velocity (atSw=05) calculated by the approximate and exactGassmann equations The velocity computed by exactGassmann equation is assumed to be correct and used asreference The velocities error is defined the differencebetween the P-wave velocities calculated by exact andapproximate Gassmann equation respectively The meansquare error relative to the correct velocity is about 223From Figure 1 it seems that the approximate Gassmannequation did a good job in estimating the velocity after thesaturation has been changed In Figure 2 we make a blindguess that the P-wave velocity does not change after 50

of the water is replaced by gas Comparing Figure 1 and 2we can see that generally our blind guess performs betterthan the approximate Gassmann equation in estimating thevelocity after pore fluid saturation change Thus Figure 1 ismisleading in evaluating the validity of the approximateGassmann equation

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Fluid substitution without S-wave velocity

Except for unconsolidated rock the fluid saturation effectof common reservoir rock also lies usually in range of several percent of its original velocity Thus to check thevalidity of the approximate Gassmann equation we shouldcompare the fluid saturation effects In Figure 3 we plottedthe fluid saturation effect predicted by approximateGassmann equation against the fluid saturation effectcalculated by exact Gassmann When the saturation ischanged from 100 to 50 for most of the rock samplesthe velocity will decrease The velocity increases slightlyfor several rock samples because of density effect All thedata points lie below the perfect line which means that theapproximate Gassmann systematically exaggerate the fluidsaturation effect For most of data points which lie belowthe green line the approximate Gassmann at least doublesthe fluid saturation effect If the actual fluid saturationeffect is -005 kms while the estimated fluid saturationeffect is -020 kms this is a big mistake in fluid saturationeffect prediction although the relative velocities error mightbe small (several percent of the original velocity)

In Figure 4 we plotted the ratio of velocity error (caused byapproximation) to fluid saturation effect (calculated byexact Gassmann equation) against porosity and the colorbar shows the original velocity before saturation variationAmong the 70 rock samples the velocity error introducedby approximation Gassmann equation is bigger than thefluid saturation effect for 743 of rock samples So in

term of fluid saturation effect estimation the approximateGassmann does not work for most of the rock samplesFrom Figure 4 it might be said the approximate equationworks best for loose sandstones of high porosity and lowvelocity

Fluid substitution with estimated S-wave velocity

In stead of using the approximate Gassmann equation wecan also use exact Gassmann and estimated shear wavevelocity to predict saturation effect when shear wavevelocity is not available There are two commonly usedmethods to estimate the shear velocity (Greenberg andCastagna 1992 Xu and White 1994) and here we selectthe technique introduced by Greenberg and Castaganarsquos

Figure 2 Cross plot between P-wave velocity estimatedby exact Gassmann and that by blind guess (assumingno velocity change after saturation is changed to 50)

Figure 4 Relation between porosity and relativevelocity error by approximate Gassmann equation

Figure 1 Cross plot between P-wave velocity estimatedby exact Gassmann and that estimated by theapproximated Gassmann equation (Original watersaturation Sw=10)

Figure 3 Comparison of fluid saturation effectsestimated by exact Gassmann and approximateGassmann equation

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Fluid substitution without S-wave velocity

(1992) since it requires exactly the same input informationas the approximated Gassmann equation (lithologyporosity saturation density elastic moduli andconcentrations of constituent minerals and pore fluids) Theregression coefficients for pure lithologies used in thisstudy are default and as given by Castagna et al (1993)

Same as previous study we assume the water saturation ischanged from 100 to 50 then we use exact Gassmannequation with the estimated shear wave velocity for 100water saturated rock to compute the P-wave velocitieswhen water saturation is changed to 50 The result isshown in Figure 5 Comparing with Figure 1 using exactGassmann and estimated S-wave velocity the predicted VP after saturation variation has a much smaller error than thatpredicted by the approximate Gassmann equation In termof fluid saturation effect estimation which we care mostthe result (Figure 6) is also much improved as compared toprevious study (Figure 3) From Figure 6 the estimated

fluid saturation effect rarely double the fluid saturationeffect calculated by exact Gassmann equation withmeasured S-wave velocity except when fluid saturationeffect is negligible

Inversion of S-wave velocity

The approximate Gassmann equation estimates fluidsaturation effect without using shear wave velocityinformation The same fluid saturation effect can becalculated using exact Gassmann equation the same P-wave velocity and a certain shear wave velocity This shearwave velocity is the implicit shear velocity used by theapproximate Gassmann equation The process of findingthis shear wave velocity is an inversion process and can bedescribed by the following equation system

( ) ( )20

2

20

2

10

1

10

1

f

f

sat

sat

f

f

sat

sat

K K

K

K K

K

K K

K

K K

K

minus

minus

minus

=

minus

minus

minus φ φ

(2)2

1 1 1

4

3sat PK Vμ ρ + = (3)

22 2 2

4

3sat PK Vμ ρ + = (4)

where subscript 1 and 2 represent original water saturationand changed water saturation respectively K sat K 0 K f arebulk modulus of saturated rock mineral and pore fluidrespectively μ and ρ are shear modulus and bulk density

respectively VP1 is the original P-wave velocity andVp2 isthe P-wave velocity after the saturation change and isestimated by the approximate Gassmann equationBasically there are three unknowns (K sat1 K sat2 μ ) in three

independent equations so we can solve for μ and calculatethe implicit shear wave velocity

Figure 6 Comparison of fluid saturation effectsestimated by exact Gassmann with measured andestimated S-wave velocities respectively

Figure 5 Cross plot between P-wave velocitiesestimated by exact Gassmann with measured andestimated shear wave velocities (Original watersaturation Sw=10)

Figure 7 Cross plot between estimatedinverted S-

wave velocity and measured S-wave velocity at 100water saturation

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Fluid substitution without S-wave velocity

In Figure 7 we plot the measured shear-wave velocityagainst the shear-wave velocity estimated using method of Greenberg and Castagna (1992) and the shear-wavevelocity inverted from fluid saturation effect predicted byapproximate Gassmann equation This plot explains whythe approximate Gassmann equation doest not work verywell in fluid saturation effect prediction it implicitly and

systematically use shear wave velocity much higher thanthe actual shear-wave velocity For this data set as long asthe average relative error of the estimated shear-wavevelocity is not higher than 94 it will provide morereliable result of fluid saturation effect estimation

Fluid substation of log data

Figure 8 shows example of fluid substitution of a tight gasreservoir The porosity of the gas reservoir lies around 20 The gas saturation is not high and is mostly lower than 25We assume that the gas are all replaced by brine and wantto see the saturation effect on P-wave velocity The fluidproperties are calculated using FLAG program with in-situpressure and temperature The blue curves are supplied log

data The estimated shear wave velocity (green curve) iscalculated by method of Greenberg and Castagna (1992)with regression coefficients for pure lithologies given byCastagna et al (1993)

With estimated S-wave velocity supplied P-wave log datausing exact Gassmann equation we can calculate P-wavevelocity (VP1) when water saturation is changed to 100for the whole gas reservoir interval With supplied S-wavelog and P-wave log data using exact Gassmann equationthe calculated P-wave velocity at 100 water saturation is

VP2 Using P-wave log data only and the approximateGassmann equation the calculated P-wave velocity at100 water saturation is VP3 Comparing VP2 with theoriginal P-wave log data we can see that fluid saturationeffect is mostly negligible to small The saturation effectestimated by estimated shear wave velocity is very close tothat predicted by using exact Gassmann equation and

supplied P-wave and S-wave log data The approximateGassmann equation always magnifies the saturation effectFor example at depth interval of 4542-4546 m the fluidsaturation effect is almost negligible but the approximateGassmann equation predicts a noticeable fluid saturationeffect The overall saturation effect of this gas reservoirinterval might be negligible but with approximateGassmann you might predict a significant fluid saturationeffect and thus provide false information for seismicforward modeling

As introduced in previous section we can invert the S-wave velocity implicitly used by approximate Gassmannequation As shown in the Figure 8 the inverted S-wavelies far away from the measured S-wave log data the

average error is more than 10 percent as long as theestimated S-wave velocity lies within the error bar definedby the inverted S-wave it will give more reliable fluidsaturation effect prediction than the approximate Gassmannequation

Conclusion

Based on analysis of both lab data and log data our studyshows that the approximate Gassmann equation (equation 1)is not a proper approximation of Gassmann to predict fluidsaturation effect except for unconsolidated rocks Using S-wave velocity estimated by existing techniques with sameinput parameters the exact Gassmann equation should

provide more reliable estimation of fluid saturation effectthan that predicted by approximate Gassmann equation

Acknowledgements

This work was supported by the FluidsDHI consortiumsponsors and we thank them for their continuous andgenerous support

Figure 8 Comparison of fluid saturation effectpredictions (1) VP1 calculated by exact Gassmannwith estimated VS (2) VP2 calculated by exactGassmann with measured VS and (3) VP3 calculatedby approximate Gassmann

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EDITED REFERENCES

Note This reference list is a copy-edited version of the reference list submitted by the author Reference lists for the 2010

SEG Technical Program Expanded Abstracts have been copy edited so that references provided with the online metadata for each paper will achieve a high degree of linking to cited sources that appear on the Web

REFERENCES

Castagna J P 1993 AVO analysis-tutorial and review in J P Castagna and M Backus eds OffsetDependent Reflectivity-Theory and Practice of AVO Analysis Investigations in Geophysics No 8SEG 3-36

Greenberg M L and J P Castagna 1992 Shear-wave velocity estimation in porous rocks Theoreticalformulation preliminary verification and application Geophysical Prospecting 40 no 2 195ndash209doi101111j1365-24781992tb00371x

Han D-H 1986 Effects of Porosity and Clay Content on Acoustic Properties of Sandstones andUnconsolidated Sediments PhD dissertation Stanford University

Mavko G C Chan and T Mukerji 1995 Fluid substitution Estimating changes in Vp without knowingVs Geophysics 60 1750ndash1755 doi10119011443908

Xu S and R E White 1994 A physical model for shear-wave velocity prediction 56th

Meeting and

Technical Exhibit EAGE Expanded Abstracts

27EG Denver 2010 Annual Meetingcopy 2010 SEG

Main Menu

Page 2: 6 Papr849 Yan

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Fluid substitution without S-wave velocity

Except for unconsolidated rock the fluid saturation effectof common reservoir rock also lies usually in range of several percent of its original velocity Thus to check thevalidity of the approximate Gassmann equation we shouldcompare the fluid saturation effects In Figure 3 we plottedthe fluid saturation effect predicted by approximateGassmann equation against the fluid saturation effectcalculated by exact Gassmann When the saturation ischanged from 100 to 50 for most of the rock samplesthe velocity will decrease The velocity increases slightlyfor several rock samples because of density effect All thedata points lie below the perfect line which means that theapproximate Gassmann systematically exaggerate the fluidsaturation effect For most of data points which lie belowthe green line the approximate Gassmann at least doublesthe fluid saturation effect If the actual fluid saturationeffect is -005 kms while the estimated fluid saturationeffect is -020 kms this is a big mistake in fluid saturationeffect prediction although the relative velocities error mightbe small (several percent of the original velocity)

In Figure 4 we plotted the ratio of velocity error (caused byapproximation) to fluid saturation effect (calculated byexact Gassmann equation) against porosity and the colorbar shows the original velocity before saturation variationAmong the 70 rock samples the velocity error introducedby approximation Gassmann equation is bigger than thefluid saturation effect for 743 of rock samples So in

term of fluid saturation effect estimation the approximateGassmann does not work for most of the rock samplesFrom Figure 4 it might be said the approximate equationworks best for loose sandstones of high porosity and lowvelocity

Fluid substitution with estimated S-wave velocity

In stead of using the approximate Gassmann equation wecan also use exact Gassmann and estimated shear wavevelocity to predict saturation effect when shear wavevelocity is not available There are two commonly usedmethods to estimate the shear velocity (Greenberg andCastagna 1992 Xu and White 1994) and here we selectthe technique introduced by Greenberg and Castaganarsquos

Figure 2 Cross plot between P-wave velocity estimatedby exact Gassmann and that by blind guess (assumingno velocity change after saturation is changed to 50)

Figure 4 Relation between porosity and relativevelocity error by approximate Gassmann equation

Figure 1 Cross plot between P-wave velocity estimatedby exact Gassmann and that estimated by theapproximated Gassmann equation (Original watersaturation Sw=10)

Figure 3 Comparison of fluid saturation effectsestimated by exact Gassmann and approximateGassmann equation

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Fluid substitution without S-wave velocity

(1992) since it requires exactly the same input informationas the approximated Gassmann equation (lithologyporosity saturation density elastic moduli andconcentrations of constituent minerals and pore fluids) Theregression coefficients for pure lithologies used in thisstudy are default and as given by Castagna et al (1993)

Same as previous study we assume the water saturation ischanged from 100 to 50 then we use exact Gassmannequation with the estimated shear wave velocity for 100water saturated rock to compute the P-wave velocitieswhen water saturation is changed to 50 The result isshown in Figure 5 Comparing with Figure 1 using exactGassmann and estimated S-wave velocity the predicted VP after saturation variation has a much smaller error than thatpredicted by the approximate Gassmann equation In termof fluid saturation effect estimation which we care mostthe result (Figure 6) is also much improved as compared toprevious study (Figure 3) From Figure 6 the estimated

fluid saturation effect rarely double the fluid saturationeffect calculated by exact Gassmann equation withmeasured S-wave velocity except when fluid saturationeffect is negligible

Inversion of S-wave velocity

The approximate Gassmann equation estimates fluidsaturation effect without using shear wave velocityinformation The same fluid saturation effect can becalculated using exact Gassmann equation the same P-wave velocity and a certain shear wave velocity This shearwave velocity is the implicit shear velocity used by theapproximate Gassmann equation The process of findingthis shear wave velocity is an inversion process and can bedescribed by the following equation system

( ) ( )20

2

20

2

10

1

10

1

f

f

sat

sat

f

f

sat

sat

K K

K

K K

K

K K

K

K K

K

minus

minus

minus

=

minus

minus

minus φ φ

(2)2

1 1 1

4

3sat PK Vμ ρ + = (3)

22 2 2

4

3sat PK Vμ ρ + = (4)

where subscript 1 and 2 represent original water saturationand changed water saturation respectively K sat K 0 K f arebulk modulus of saturated rock mineral and pore fluidrespectively μ and ρ are shear modulus and bulk density

respectively VP1 is the original P-wave velocity andVp2 isthe P-wave velocity after the saturation change and isestimated by the approximate Gassmann equationBasically there are three unknowns (K sat1 K sat2 μ ) in three

independent equations so we can solve for μ and calculatethe implicit shear wave velocity

Figure 6 Comparison of fluid saturation effectsestimated by exact Gassmann with measured andestimated S-wave velocities respectively

Figure 5 Cross plot between P-wave velocitiesestimated by exact Gassmann with measured andestimated shear wave velocities (Original watersaturation Sw=10)

Figure 7 Cross plot between estimatedinverted S-

wave velocity and measured S-wave velocity at 100water saturation

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Fluid substitution without S-wave velocity

In Figure 7 we plot the measured shear-wave velocityagainst the shear-wave velocity estimated using method of Greenberg and Castagna (1992) and the shear-wavevelocity inverted from fluid saturation effect predicted byapproximate Gassmann equation This plot explains whythe approximate Gassmann equation doest not work verywell in fluid saturation effect prediction it implicitly and

systematically use shear wave velocity much higher thanthe actual shear-wave velocity For this data set as long asthe average relative error of the estimated shear-wavevelocity is not higher than 94 it will provide morereliable result of fluid saturation effect estimation

Fluid substation of log data

Figure 8 shows example of fluid substitution of a tight gasreservoir The porosity of the gas reservoir lies around 20 The gas saturation is not high and is mostly lower than 25We assume that the gas are all replaced by brine and wantto see the saturation effect on P-wave velocity The fluidproperties are calculated using FLAG program with in-situpressure and temperature The blue curves are supplied log

data The estimated shear wave velocity (green curve) iscalculated by method of Greenberg and Castagna (1992)with regression coefficients for pure lithologies given byCastagna et al (1993)

With estimated S-wave velocity supplied P-wave log datausing exact Gassmann equation we can calculate P-wavevelocity (VP1) when water saturation is changed to 100for the whole gas reservoir interval With supplied S-wavelog and P-wave log data using exact Gassmann equationthe calculated P-wave velocity at 100 water saturation is

VP2 Using P-wave log data only and the approximateGassmann equation the calculated P-wave velocity at100 water saturation is VP3 Comparing VP2 with theoriginal P-wave log data we can see that fluid saturationeffect is mostly negligible to small The saturation effectestimated by estimated shear wave velocity is very close tothat predicted by using exact Gassmann equation and

supplied P-wave and S-wave log data The approximateGassmann equation always magnifies the saturation effectFor example at depth interval of 4542-4546 m the fluidsaturation effect is almost negligible but the approximateGassmann equation predicts a noticeable fluid saturationeffect The overall saturation effect of this gas reservoirinterval might be negligible but with approximateGassmann you might predict a significant fluid saturationeffect and thus provide false information for seismicforward modeling

As introduced in previous section we can invert the S-wave velocity implicitly used by approximate Gassmannequation As shown in the Figure 8 the inverted S-wavelies far away from the measured S-wave log data the

average error is more than 10 percent as long as theestimated S-wave velocity lies within the error bar definedby the inverted S-wave it will give more reliable fluidsaturation effect prediction than the approximate Gassmannequation

Conclusion

Based on analysis of both lab data and log data our studyshows that the approximate Gassmann equation (equation 1)is not a proper approximation of Gassmann to predict fluidsaturation effect except for unconsolidated rocks Using S-wave velocity estimated by existing techniques with sameinput parameters the exact Gassmann equation should

provide more reliable estimation of fluid saturation effectthan that predicted by approximate Gassmann equation

Acknowledgements

This work was supported by the FluidsDHI consortiumsponsors and we thank them for their continuous andgenerous support

Figure 8 Comparison of fluid saturation effectpredictions (1) VP1 calculated by exact Gassmannwith estimated VS (2) VP2 calculated by exactGassmann with measured VS and (3) VP3 calculatedby approximate Gassmann

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EDITED REFERENCES

Note This reference list is a copy-edited version of the reference list submitted by the author Reference lists for the 2010

SEG Technical Program Expanded Abstracts have been copy edited so that references provided with the online metadata for each paper will achieve a high degree of linking to cited sources that appear on the Web

REFERENCES

Castagna J P 1993 AVO analysis-tutorial and review in J P Castagna and M Backus eds OffsetDependent Reflectivity-Theory and Practice of AVO Analysis Investigations in Geophysics No 8SEG 3-36

Greenberg M L and J P Castagna 1992 Shear-wave velocity estimation in porous rocks Theoreticalformulation preliminary verification and application Geophysical Prospecting 40 no 2 195ndash209doi101111j1365-24781992tb00371x

Han D-H 1986 Effects of Porosity and Clay Content on Acoustic Properties of Sandstones andUnconsolidated Sediments PhD dissertation Stanford University

Mavko G C Chan and T Mukerji 1995 Fluid substitution Estimating changes in Vp without knowingVs Geophysics 60 1750ndash1755 doi10119011443908

Xu S and R E White 1994 A physical model for shear-wave velocity prediction 56th

Meeting and

Technical Exhibit EAGE Expanded Abstracts

27EG Denver 2010 Annual Meetingcopy 2010 SEG

Main Menu

Page 3: 6 Papr849 Yan

7292019 6 Papr849 Yan

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Fluid substitution without S-wave velocity

(1992) since it requires exactly the same input informationas the approximated Gassmann equation (lithologyporosity saturation density elastic moduli andconcentrations of constituent minerals and pore fluids) Theregression coefficients for pure lithologies used in thisstudy are default and as given by Castagna et al (1993)

Same as previous study we assume the water saturation ischanged from 100 to 50 then we use exact Gassmannequation with the estimated shear wave velocity for 100water saturated rock to compute the P-wave velocitieswhen water saturation is changed to 50 The result isshown in Figure 5 Comparing with Figure 1 using exactGassmann and estimated S-wave velocity the predicted VP after saturation variation has a much smaller error than thatpredicted by the approximate Gassmann equation In termof fluid saturation effect estimation which we care mostthe result (Figure 6) is also much improved as compared toprevious study (Figure 3) From Figure 6 the estimated

fluid saturation effect rarely double the fluid saturationeffect calculated by exact Gassmann equation withmeasured S-wave velocity except when fluid saturationeffect is negligible

Inversion of S-wave velocity

The approximate Gassmann equation estimates fluidsaturation effect without using shear wave velocityinformation The same fluid saturation effect can becalculated using exact Gassmann equation the same P-wave velocity and a certain shear wave velocity This shearwave velocity is the implicit shear velocity used by theapproximate Gassmann equation The process of findingthis shear wave velocity is an inversion process and can bedescribed by the following equation system

( ) ( )20

2

20

2

10

1

10

1

f

f

sat

sat

f

f

sat

sat

K K

K

K K

K

K K

K

K K

K

minus

minus

minus

=

minus

minus

minus φ φ

(2)2

1 1 1

4

3sat PK Vμ ρ + = (3)

22 2 2

4

3sat PK Vμ ρ + = (4)

where subscript 1 and 2 represent original water saturationand changed water saturation respectively K sat K 0 K f arebulk modulus of saturated rock mineral and pore fluidrespectively μ and ρ are shear modulus and bulk density

respectively VP1 is the original P-wave velocity andVp2 isthe P-wave velocity after the saturation change and isestimated by the approximate Gassmann equationBasically there are three unknowns (K sat1 K sat2 μ ) in three

independent equations so we can solve for μ and calculatethe implicit shear wave velocity

Figure 6 Comparison of fluid saturation effectsestimated by exact Gassmann with measured andestimated S-wave velocities respectively

Figure 5 Cross plot between P-wave velocitiesestimated by exact Gassmann with measured andestimated shear wave velocities (Original watersaturation Sw=10)

Figure 7 Cross plot between estimatedinverted S-

wave velocity and measured S-wave velocity at 100water saturation

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Fluid substitution without S-wave velocity

In Figure 7 we plot the measured shear-wave velocityagainst the shear-wave velocity estimated using method of Greenberg and Castagna (1992) and the shear-wavevelocity inverted from fluid saturation effect predicted byapproximate Gassmann equation This plot explains whythe approximate Gassmann equation doest not work verywell in fluid saturation effect prediction it implicitly and

systematically use shear wave velocity much higher thanthe actual shear-wave velocity For this data set as long asthe average relative error of the estimated shear-wavevelocity is not higher than 94 it will provide morereliable result of fluid saturation effect estimation

Fluid substation of log data

Figure 8 shows example of fluid substitution of a tight gasreservoir The porosity of the gas reservoir lies around 20 The gas saturation is not high and is mostly lower than 25We assume that the gas are all replaced by brine and wantto see the saturation effect on P-wave velocity The fluidproperties are calculated using FLAG program with in-situpressure and temperature The blue curves are supplied log

data The estimated shear wave velocity (green curve) iscalculated by method of Greenberg and Castagna (1992)with regression coefficients for pure lithologies given byCastagna et al (1993)

With estimated S-wave velocity supplied P-wave log datausing exact Gassmann equation we can calculate P-wavevelocity (VP1) when water saturation is changed to 100for the whole gas reservoir interval With supplied S-wavelog and P-wave log data using exact Gassmann equationthe calculated P-wave velocity at 100 water saturation is

VP2 Using P-wave log data only and the approximateGassmann equation the calculated P-wave velocity at100 water saturation is VP3 Comparing VP2 with theoriginal P-wave log data we can see that fluid saturationeffect is mostly negligible to small The saturation effectestimated by estimated shear wave velocity is very close tothat predicted by using exact Gassmann equation and

supplied P-wave and S-wave log data The approximateGassmann equation always magnifies the saturation effectFor example at depth interval of 4542-4546 m the fluidsaturation effect is almost negligible but the approximateGassmann equation predicts a noticeable fluid saturationeffect The overall saturation effect of this gas reservoirinterval might be negligible but with approximateGassmann you might predict a significant fluid saturationeffect and thus provide false information for seismicforward modeling

As introduced in previous section we can invert the S-wave velocity implicitly used by approximate Gassmannequation As shown in the Figure 8 the inverted S-wavelies far away from the measured S-wave log data the

average error is more than 10 percent as long as theestimated S-wave velocity lies within the error bar definedby the inverted S-wave it will give more reliable fluidsaturation effect prediction than the approximate Gassmannequation

Conclusion

Based on analysis of both lab data and log data our studyshows that the approximate Gassmann equation (equation 1)is not a proper approximation of Gassmann to predict fluidsaturation effect except for unconsolidated rocks Using S-wave velocity estimated by existing techniques with sameinput parameters the exact Gassmann equation should

provide more reliable estimation of fluid saturation effectthan that predicted by approximate Gassmann equation

Acknowledgements

This work was supported by the FluidsDHI consortiumsponsors and we thank them for their continuous andgenerous support

Figure 8 Comparison of fluid saturation effectpredictions (1) VP1 calculated by exact Gassmannwith estimated VS (2) VP2 calculated by exactGassmann with measured VS and (3) VP3 calculatedby approximate Gassmann

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EDITED REFERENCES

Note This reference list is a copy-edited version of the reference list submitted by the author Reference lists for the 2010

SEG Technical Program Expanded Abstracts have been copy edited so that references provided with the online metadata for each paper will achieve a high degree of linking to cited sources that appear on the Web

REFERENCES

Castagna J P 1993 AVO analysis-tutorial and review in J P Castagna and M Backus eds OffsetDependent Reflectivity-Theory and Practice of AVO Analysis Investigations in Geophysics No 8SEG 3-36

Greenberg M L and J P Castagna 1992 Shear-wave velocity estimation in porous rocks Theoreticalformulation preliminary verification and application Geophysical Prospecting 40 no 2 195ndash209doi101111j1365-24781992tb00371x

Han D-H 1986 Effects of Porosity and Clay Content on Acoustic Properties of Sandstones andUnconsolidated Sediments PhD dissertation Stanford University

Mavko G C Chan and T Mukerji 1995 Fluid substitution Estimating changes in Vp without knowingVs Geophysics 60 1750ndash1755 doi10119011443908

Xu S and R E White 1994 A physical model for shear-wave velocity prediction 56th

Meeting and

Technical Exhibit EAGE Expanded Abstracts

27EG Denver 2010 Annual Meetingcopy 2010 SEG

Main Menu

Page 4: 6 Papr849 Yan

7292019 6 Papr849 Yan

httpslidepdfcomreaderfull6-papr849-yan 45

Fluid substitution without S-wave velocity

In Figure 7 we plot the measured shear-wave velocityagainst the shear-wave velocity estimated using method of Greenberg and Castagna (1992) and the shear-wavevelocity inverted from fluid saturation effect predicted byapproximate Gassmann equation This plot explains whythe approximate Gassmann equation doest not work verywell in fluid saturation effect prediction it implicitly and

systematically use shear wave velocity much higher thanthe actual shear-wave velocity For this data set as long asthe average relative error of the estimated shear-wavevelocity is not higher than 94 it will provide morereliable result of fluid saturation effect estimation

Fluid substation of log data

Figure 8 shows example of fluid substitution of a tight gasreservoir The porosity of the gas reservoir lies around 20 The gas saturation is not high and is mostly lower than 25We assume that the gas are all replaced by brine and wantto see the saturation effect on P-wave velocity The fluidproperties are calculated using FLAG program with in-situpressure and temperature The blue curves are supplied log

data The estimated shear wave velocity (green curve) iscalculated by method of Greenberg and Castagna (1992)with regression coefficients for pure lithologies given byCastagna et al (1993)

With estimated S-wave velocity supplied P-wave log datausing exact Gassmann equation we can calculate P-wavevelocity (VP1) when water saturation is changed to 100for the whole gas reservoir interval With supplied S-wavelog and P-wave log data using exact Gassmann equationthe calculated P-wave velocity at 100 water saturation is

VP2 Using P-wave log data only and the approximateGassmann equation the calculated P-wave velocity at100 water saturation is VP3 Comparing VP2 with theoriginal P-wave log data we can see that fluid saturationeffect is mostly negligible to small The saturation effectestimated by estimated shear wave velocity is very close tothat predicted by using exact Gassmann equation and

supplied P-wave and S-wave log data The approximateGassmann equation always magnifies the saturation effectFor example at depth interval of 4542-4546 m the fluidsaturation effect is almost negligible but the approximateGassmann equation predicts a noticeable fluid saturationeffect The overall saturation effect of this gas reservoirinterval might be negligible but with approximateGassmann you might predict a significant fluid saturationeffect and thus provide false information for seismicforward modeling

As introduced in previous section we can invert the S-wave velocity implicitly used by approximate Gassmannequation As shown in the Figure 8 the inverted S-wavelies far away from the measured S-wave log data the

average error is more than 10 percent as long as theestimated S-wave velocity lies within the error bar definedby the inverted S-wave it will give more reliable fluidsaturation effect prediction than the approximate Gassmannequation

Conclusion

Based on analysis of both lab data and log data our studyshows that the approximate Gassmann equation (equation 1)is not a proper approximation of Gassmann to predict fluidsaturation effect except for unconsolidated rocks Using S-wave velocity estimated by existing techniques with sameinput parameters the exact Gassmann equation should

provide more reliable estimation of fluid saturation effectthan that predicted by approximate Gassmann equation

Acknowledgements

This work was supported by the FluidsDHI consortiumsponsors and we thank them for their continuous andgenerous support

Figure 8 Comparison of fluid saturation effectpredictions (1) VP1 calculated by exact Gassmannwith estimated VS (2) VP2 calculated by exactGassmann with measured VS and (3) VP3 calculatedby approximate Gassmann

27EG Denver 2010 Annual Meetingcopy 2010 SEG

Main Menu

7292019 6 Papr849 Yan

httpslidepdfcomreaderfull6-papr849-yan 55

EDITED REFERENCES

Note This reference list is a copy-edited version of the reference list submitted by the author Reference lists for the 2010

SEG Technical Program Expanded Abstracts have been copy edited so that references provided with the online metadata for each paper will achieve a high degree of linking to cited sources that appear on the Web

REFERENCES

Castagna J P 1993 AVO analysis-tutorial and review in J P Castagna and M Backus eds OffsetDependent Reflectivity-Theory and Practice of AVO Analysis Investigations in Geophysics No 8SEG 3-36

Greenberg M L and J P Castagna 1992 Shear-wave velocity estimation in porous rocks Theoreticalformulation preliminary verification and application Geophysical Prospecting 40 no 2 195ndash209doi101111j1365-24781992tb00371x

Han D-H 1986 Effects of Porosity and Clay Content on Acoustic Properties of Sandstones andUnconsolidated Sediments PhD dissertation Stanford University

Mavko G C Chan and T Mukerji 1995 Fluid substitution Estimating changes in Vp without knowingVs Geophysics 60 1750ndash1755 doi10119011443908

Xu S and R E White 1994 A physical model for shear-wave velocity prediction 56th

Meeting and

Technical Exhibit EAGE Expanded Abstracts

27EG Denver 2010 Annual Meetingcopy 2010 SEG

Main Menu

Page 5: 6 Papr849 Yan

7292019 6 Papr849 Yan

httpslidepdfcomreaderfull6-papr849-yan 55

EDITED REFERENCES

Note This reference list is a copy-edited version of the reference list submitted by the author Reference lists for the 2010

SEG Technical Program Expanded Abstracts have been copy edited so that references provided with the online metadata for each paper will achieve a high degree of linking to cited sources that appear on the Web

REFERENCES

Castagna J P 1993 AVO analysis-tutorial and review in J P Castagna and M Backus eds OffsetDependent Reflectivity-Theory and Practice of AVO Analysis Investigations in Geophysics No 8SEG 3-36

Greenberg M L and J P Castagna 1992 Shear-wave velocity estimation in porous rocks Theoreticalformulation preliminary verification and application Geophysical Prospecting 40 no 2 195ndash209doi101111j1365-24781992tb00371x

Han D-H 1986 Effects of Porosity and Clay Content on Acoustic Properties of Sandstones andUnconsolidated Sediments PhD dissertation Stanford University

Mavko G C Chan and T Mukerji 1995 Fluid substitution Estimating changes in Vp without knowingVs Geophysics 60 1750ndash1755 doi10119011443908

Xu S and R E White 1994 A physical model for shear-wave velocity prediction 56th

Meeting and

Technical Exhibit EAGE Expanded Abstracts

27EG Denver 2010 Annual Meetingcopy 2010 SEG

Main Menu