We Simultaneous Joint Inversion of Electromagnetic and Seismic Full-waveform Data - A Sensitivity Analysis to Biot Parameter

Size: px
Start display at page:

Download "We Simultaneous Joint Inversion of Electromagnetic and Seismic Full-waveform Data - A Sensitivity Analysis to Biot Parameter"

Transcription

1 We Simultaneous Joint Inversion of Electromagnetic and Seismic Full-waveform Data - A Sensitivity Analysis to Biot Parameter J. Giraud* (WesternGeco Geosolutions), M. De Stefano (WesternGeco Geosolutions) & F. Miotti (WesternGeco Geosolutions) SUMMARY We present and compare different methods for computing Gassmann s fluid substitution model in the framework of the petrophysical simultaneous joint inversion of electromagnetic and seismic data. The algorithm we used computes elastic parameters using Gassmann s model, while electrical resistivities are calculated using Archie s law. In Gassmann s model, the formulation of the Biot coefficient is critical to compute elastic properties of the saturated medium. Concerning the formulation of the Biot coefficient, along with testing the simultaneous joint inversion using expressions proposed in the models of Krief, Nur, Pride and Lee we also derived and tested a modified version of Krief s model, which is inspired by that of Pride and Lee. As a result, for comparable misfits, Nur s critical porosity model permits us to retrieve well the geometries of the medium, while Krief s model allows us to retrieve sharper boundaries. Also, our study permits us to determine the influence of the formulation of the Biot parameter on inverted electrical resistivity distribution. In comparison to other models, the Pride and Lee model delineates quite well geometries of the synthetic model while being less efficient to retrieve electrical resistivity distribution. The modified Krief s model provided slightly improved misfit with respect to Krief s model.

2 Introduction Lately, the integration of different methods has taken a growing importance in oil and gas E&P. Most recently, the joint inversion of multiple data sets was introduced by De Stefano et al. (2011) for the structural constraint. Subsequently, Gao et al. (2012) and Abubakar et al. (2012) presented a petrophysical simultaneous joint inversion approach, upon which this paper is focused. We present an extension of the existing work on the petrophysical side by testing additional petrophysical formulas in the framework of the simultaneous joint inversion (SJI). When considering petrophysical approaches, using an appropriate petrophysical model in real-world reservoir characterization is crucial. As is illustrated in this work, even slightly wrong petrophysical models can lead to poor results. Starting from the latter two authors work we extended it following the study of the efficiency and accuracy of Krief et al. (1990), Nur (1992), Pride et al. (2004), and Lee (2005) models of Biot coefficient formulations performed by Zhang et al. (2009). Deriving the models of Pride and Krief, we also introduce a modified version of Krief s model. Inversion algorithm The inversion algorithm we used aims at the minimization of a multiplicative joint cost function:, (1) where and are the weighted objective functions for seismic and electromagnetic (EM) data, respectively. Superscript denotes electromagnetic while superscript denotes seismic. The factor is a so-called multiplicative regularization function. Seismic data are frequency weighted. is the model at the -th iteration. For each cell of the 2D medium, it consists in the porosity and water saturation. The cost function is minimized thanks to a Gauss-Newton minimization approach. The oil saturation ( ) is simply computed as. The seismic displacement field is obtained by solving the elastic equation at each frequency while the electric field is calculated by solving Maxwell s equation. In both cases calculations are performed using a frequency-domain finite-difference approach. Computing geophysical properties, linking EM and seismic data Electrical conductivities are obtained by computing Archie s law (Archie 1942):, (2) where is the electrical conductivity of the medium and is that of water, is the cementation exponent, is a parameter related to tortuosity, and is a constant usually depending on the medium. Seismic velocities are computed using Gassmann s fluid substitution model (Gassmann 1951). For the purpose of our study, we reformulate it as follows: (3). (5) Porosity (ϕ), and saturations ( refers to the saturations of the -th fluide phase) are part of the model, in which is the bulk modulus, µ is the shear modulus, and is the mass density. Subscripts,, and refer to matrix, saturated medium, and fluid, respectively. M is the grain bulk modulus (4)

3 while is the total number of fluid phases present in the porous space. For a given model, and are the formulation of a Biot coefficient applied to the computation of bulk and shear modulus, respectively. Except for the Pride and Lee and modified Krief s models,. In our study, we used the four following formulations of the Biot coefficient: Nur s model, Krief s model, the model of Pride and Lee, and the modified Krief s model. The model of Nur (1992), for which, is given as: (6) Here, is the critical porosity. The model of Krief (Krief et al. 1990), in which, is defined as:, where, is an empirical coefficient. This value varies with the medium and can be set in accordance with the lithology. The model of Pride and Lee is formulated as follows (Lee (2005), Pride et al. (2004)):, (8) where and are empirical multiplicative factors. is set to 1.5 by Pride et al. (2004) (original formulation of Pride s model), while Lee (2005) redefined it as a function of (this led to the socalled model of Pride and Lee). Last, Krief s modified model is the same as Krief s original model when addressing the computation of. However, it differs for the expression of, which we introduce as:, (9) where is an empirical value sought to take into account the effect of the presence of fluids. Beside plots of the inverted properties over the inversion area, interpretation of inversion results is made by the use of the basic statistical quantities such as the misfit between inverted and true properties and the Bravais-Pearson linear correlation coefficient. Comparing inversion results obtained using different Biot parameter formulations After studying the influence of Biot parameter formulation on elastic moduli of the medium, we studied the ability of each particular formulation to retrieve the synthetic model through SJI. For each particular formulation, we generated a synthetic data set, which we inverted using different implementations of the Biot parameter. The most relevant properties of our study are water saturation and porosity. Because they are the two properties that are obtained through the SJI, we chose to show the latter two inverted properties only. (7)

4 Example: inverting data generated using modified Krief s model Figure 1 displays true and inverted properties. Figure 1 True (on top) and inverted porosity and oil saturation ((a) to (d)). Data are generated using the modified Krief s model while the other parameters are kept constant. Inverted models: (a) using Nur s model during inversion, (b) using Krief s model during inversion, (c) using the model of Pride and Lee during inversion, (d) using modified Krief s model. The depth of the seawater is 1 km. Both reservoirs have a porosity of 0.25 and a water saturation of 0.2. The two inhomogeneities below the reservoirs have a porosity of 0.1 and 0.15, respectively. Electrical resistivities (equation (2)) are calculated using the following Archie's parameters: =1, =0.4, =2.4. Nur s model critical porosity (equation (6)) is set to 0.40, Krief s empirical exponent is set to 2.75 (equation (7)) while is set to 1.5 into Pride s model (equation (8)). For the use of the modified Krief s model (equation (9)), a value of 2.6 and 0.25 for and, respectively, was used. Seismic data consist in vertical and horizontal displacement fields. Frequencies for which data are simulated are 1 Hz, 2 Hz, and 3 Hz. EM data are simulated for x-oriented dipoles. Frequencies for which EM data are simulated are Hz, 0.25 Hz, and 1 Hz. In Figure 1, receivers and transmitters are separated by 500 m. There are 41 transmitter positions and 40 receivers. From Figure 1, it is worth pointing out that, when the modified Krief model is used, even though it is close to Krief s, the results obtained with the latter are closer to those obtained by inverting thanks to Nur s model. One of the main interesting features obtained from the testing is that, for a comparable final cost function, results obtained through the use of the modified Krief s model show a better agreement with the synthetic model than for any other model of the Biot parameter. The table below presents a summary of the comparison of the Biot parameter formulations.

5 Table 1 Comparison of the efficiency of the formulations of Biot parameter Model used to generate the data Best model for inverting second best model for inverting second worst model for inverting worst model for inverting Nur Nur modified Krief Krief Pride and Lee Krief modified Krief Krief Nur Pride and Lee Pride and Lee Pride and Lee modified Krief Krief Nur modified Krief modified Krief Krief Nur Pride and Lee Conclusions Generally speaking, structures of the inverted model obtained by using the modified Krief s model seem to be better retrieved than when using other formulations. Misfits and correlations are practically always better when the modified Krief s model is employed. On the other hand, Nur s model seems quite appropriate to most inversions we ran in the framework of the testing of the efficiency of the different formulations we presented in this work. A similar conclusion can be drawn for Krief s model. Contrarily, the model of Pride and Lee provides inversion results that were not as good. Thus, this study seems to indicate that, when addressing real data, Krief s and modified Krief s models may be the most robust. In our work, we considered a limited number of the possible values of the empirical parameters. Additional tests involving a stochastic approach, varying the empirical parameters of the Biot parameter formulations, may be required to make this study more exhaustive. Also, additional petrophysical relationships could be tested in further work. Acknowledgements The authors thank Schlumberger-Doll Research for providing the SJI code as well as the synthetic model we used for our testing and for their support through regular meetings throughout the project. References Abubakar, A., Gao, G., Habashy, T. M., and Liu, J. [2012] Joint inversion approaches for geophysical electromagnetic and elastic full-waveform data. Inverse Problems, 28. Archie, G. E. [1942] The electrical resistivity log as an aid in determining some reservoir characteristics. Petroleum transactions of AIME, 168, De Stefano, M., Golfré Andreasi, F., Re, S., Virgilio, M., and Snyder, F. F. [2011] Multiple-domain, simultaneous joint inversion of geophysical data with application to subsalt imaging. Geophysics, 76 (3), R69-R80. Gao, G., Abubakar, A., and Habashy, T. M. [2012] Joint Inversion of electromagnetic and fullwaveform seismic data. Geophysics, 77 (3), wa3-wa18. Gassmann, F. [1951] Uber die Elastizitat poroser Medien: Vierteljahrsschrift der Naturforschenden. Gesellschaft, 96, Krief, M., Garat, J.,Stellingwerff, J., and Ventre, J. [1990] A petrophysical interpretation using the velocities of P and S waves (full-waveform sonic). The Log Analyst, 31, Lee, M. W. [2005] Proposed moduli of dry rock and their application to predicting elastic velocities of sandstones. U. S. Geological Survey, Scientific Investigations Report, Nur, A. [1992] Critical porosity and the seismic velocities in rocks. Eos, Transactions, American Geophysical Union, 73. Pride, S. R., Berryman, J. G., and Harris, J. M. [2004] Seismic attenuation due to wave-induced flow. Journal of Geophysical Research, 109, B B Zhang, J., Li, H., Liu, H., and Cui, X. [2009] Accuracy of Krief, Nur and Pride models in the study of rock physics. 79 th Annual International Meeting, SEG, Expanded Abstracts,

Joint inversion of borehole electromagnetic and sonic measurements G. Gao, A. Abubakar, T. M. Habashy, Schlumberger-Doll Research

Joint inversion of borehole electromagnetic and sonic measurements G. Gao, A. Abubakar, T. M. Habashy, Schlumberger-Doll Research Joint inversion of borehole electromagnetic and sonic measurements G. Gao, A. Abubakar, T. M. Habashy, Schlumberger-Doll Research SUMMARY New-generation electromagnetic (EM) and sonic logging tools are

More information

Calibration of the petro-elastic model (PEM) for 4D seismic studies in multi-mineral rocks Amini, Hamed; Alvarez, Erick Raciel

Calibration of the petro-elastic model (PEM) for 4D seismic studies in multi-mineral rocks Amini, Hamed; Alvarez, Erick Raciel Heriot-Watt University Heriot-Watt University Research Gateway Calibration of the petro-elastic model (PEM) for 4D seismic studies in multi-mineral rocks Amini, Hamed; Alvarez, Erick Raciel DOI: 10.3997/2214-4609.20132136

More information

SPE These in turn can be used to estimate mechanical properties.

SPE These in turn can be used to estimate mechanical properties. SPE 96112 Pressure Effects on Porosity-Log Responses Using Rock Physics Modeling: Implications on Geophysical and Engineering Models as Reservoir Pressure Decreases Michael Holmes, SPE, Digital Formation,

More information

Uncertainties in rock pore compressibility and effects on time lapse seismic modeling An application to Norne field

Uncertainties in rock pore compressibility and effects on time lapse seismic modeling An application to Norne field Uncertainties in rock pore compressibility and effects on time lapse seismic modeling An application to Norne field Amit Suman and Tapan Mukerji Department of Energy Resources Engineering Stanford University

More information

Integration of Rock Physics Models in a Geostatistical Seismic Inversion for Reservoir Rock Properties

Integration of Rock Physics Models in a Geostatistical Seismic Inversion for Reservoir Rock Properties Integration of Rock Physics Models in a Geostatistical Seismic Inversion for Reservoir Rock Properties Amaro C. 1 Abstract: The main goal of reservoir modeling and characterization is the inference of

More information

Evaluation of Rock Properties from Logs Affected by Deep Invasion A Case Study

Evaluation of Rock Properties from Logs Affected by Deep Invasion A Case Study Evaluation of Rock Properties from Logs Affected by Deep Invasion A Case Study Jahan Zeb a, Reece Murrell b a CGG Australia, 1 Ord Street, West Perth, WA 6005 Contact email: Jahan.Zeb@cgg.com b Esso Australia,

More information

P- and S-Wave Velocity Measurements and Pressure Sensitivity Analysis of AVA Response

P- and S-Wave Velocity Measurements and Pressure Sensitivity Analysis of AVA Response P- and S-Wave Velocity Measurements and Pressure Sensitivity Analysis of AVA Response Tiewei He* University of Alberta, Edmonton, Alberta, Canada tieweihe@phys.ualberta.ca and Douglas Schmitt University

More information

Reducing Uncertainty through Multi-Measurement Integration: from Regional to Reservoir scale

Reducing Uncertainty through Multi-Measurement Integration: from Regional to Reservoir scale Reducing Uncertainty through Multi-Measurement Integration: from Regional to Reservoir scale Efthimios Tartaras Data Processing & Modeling Manager, Integrated Electromagnetics CoE, Schlumberger Geosolutions

More information

Fluid-property discrimination with AVO: A Biot-Gassmann perspective

Fluid-property discrimination with AVO: A Biot-Gassmann perspective Fluid-property discrimination with AVO: A Biot-Gassmann perspective Brian H. Russell, Ken Hedlin 1, Fred J. Hilterman, and Laurence R. Lines ABSTRACT This paper draws together basic rock physics, AVO,

More information

Linearized AVO and Poroelasticity for HRS9. Brian Russell, Dan Hampson and David Gray 2011

Linearized AVO and Poroelasticity for HRS9. Brian Russell, Dan Hampson and David Gray 2011 Linearized AO and oroelasticity for HR9 Brian Russell, Dan Hampson and David Gray 0 Introduction In this talk, we combine the linearized Amplitude ariations with Offset (AO) technique with the Biot-Gassmann

More information

Shear Wave Velocity Estimation Utilizing Wireline Logs for a Carbonate Reservoir, South-West Iran

Shear Wave Velocity Estimation Utilizing Wireline Logs for a Carbonate Reservoir, South-West Iran Iranian Int. J. Sci. 4(2), 2003, p. 209-221 Shear Wave Velocity Estimation Utilizing Wireline Logs for a Carbonate Reservoir, South-West Iran Eskandari, H. 1, Rezaee, M.R., 2 Javaherian, A., 3 and Mohammadnia,

More information

ROCK PHYSICS DIAGNOSTICS OF NORTH SEA SANDS: LINK BETWEEN MICROSTRUCTURE AND SEISMIC PROPERTIES ABSTRACT

ROCK PHYSICS DIAGNOSTICS OF NORTH SEA SANDS: LINK BETWEEN MICROSTRUCTURE AND SEISMIC PROPERTIES ABSTRACT ROCK PHYSICS DIAGNOSTICS OF NORTH SEA SANDS: LINK BETWEEN MICROSTRUCTURE AND SEISMIC PROPERTIES PER AVSETH, JACK DVORKIN, AND GARY MAVKO Department of Geophysics, Stanford University, CA 94305-2215, USA

More information

Feasibility study of time-lapse seismic monitoring of CO 2 sequestration

Feasibility study of time-lapse seismic monitoring of CO 2 sequestration Feasibility study of time-lapse seismic monitoring of CO 2 sequestration Marie Macquet, Don C. Lawton, Jessica Dongas and Jacky Barraza CREWES, University of Calgary Summary Geological sequestration is

More information

IDENTIFYING PATCHY SATURATION FROM WELL LOGS Short Note. / K s. + K f., G Dry. = G / ρ, (2)

IDENTIFYING PATCHY SATURATION FROM WELL LOGS Short Note. / K s. + K f., G Dry. = G / ρ, (2) IDENTIFYING PATCHY SATURATION FROM WELL LOGS Short Note JACK DVORKIN, DAN MOOS, JAMES PACKWOOD, AND AMOS NUR DEPARTMENT OF GEOPHYSICS, STANFORD UNIVERSITY January 5, 2001 INTRODUCTION Gassmann's (1951)

More information

An empirical study of hydrocarbon indicators

An empirical study of hydrocarbon indicators An empirical study of hydrocarbon indicators Brian Russell 1, Hong Feng, and John Bancroft An empirical study of hydrocarbon indicators 1 Hampson-Russell, A CGGVeritas Company, Calgary, Alberta, brian.russell@cggveritas.com

More information

B033 Improving Subsalt Imaging by Incorporating MT Data in a 3D Earth Model Building Workflow - A Case Study in Gulf of Mexico

B033 Improving Subsalt Imaging by Incorporating MT Data in a 3D Earth Model Building Workflow - A Case Study in Gulf of Mexico B033 Improving Subsalt Imaging by Incorporating MT Data in a 3D Earth Model Building Workflow - A Case Study in Gulf of Mexico E. Medina* (WesternGeco), A. Lovatini (WesternGeco), F. Golfré Andreasi (WesternGeco),

More information

Recent advances in application of AVO to carbonate reservoirs: case histories

Recent advances in application of AVO to carbonate reservoirs: case histories Recent advances in application of AVO to reservoirs: case histories Yongyi Li, Bill Goodway*, and Jonathan Downton Core Lab Reservoir Technologies Division *EnCana Corporation Summary The application of

More information

Th LHR2 08 Towards an Effective Petroelastic Model for Simulator to Seismic Studies

Th LHR2 08 Towards an Effective Petroelastic Model for Simulator to Seismic Studies Th LHR2 08 Towards an Effective Petroelastic Model for Simulator to Seismic Studies A. Briceno* (Heriot-Watt University), C. MacBeth (Heriot-Watt University) & M.D. Mangriotis (Heriot-Watt University)

More information

SENSITIVITY ANALYSIS OF AMPLITUDE VARIATION WITH OFFSET (AVO) IN FRACTURED MEDIA

SENSITIVITY ANALYSIS OF AMPLITUDE VARIATION WITH OFFSET (AVO) IN FRACTURED MEDIA SENSITIVITY ANALYSIS OF AMPLITUDE VARIATION WITH OFFSET AVO) IN FRACTURED MEDIA Mary L. Krasovec, William L. Rodi, and M. Nafi Toksoz Earth Resources Laboratory Department of Earth, Atmospheric, and Planetary

More information

Heriot-Watt University

Heriot-Watt University Heriot-Watt University Heriot-Watt University Research Gateway 4D seismic feasibility study for enhanced oil recovery (EOR) with CO2 injection in a mature North Sea field Amini, Hamed; Alvarez, Erick Raciel;

More information

Reservoir properties inversion from AVO attributes

Reservoir properties inversion from AVO attributes Reservoir properties inversion from AVO attributes Xin-gang Chi* and De-hua Han, University of Houston Summary A new rock physics model based inversion method is put forward where the shaly-sand mixture

More information

RP 2.6. SEG/Houston 2005 Annual Meeting 1521

RP 2.6. SEG/Houston 2005 Annual Meeting 1521 Ludmila Adam 1, Michael Batzle 1, and Ivar Brevik 2 1 Colorado School of Mines, 2 Statoil R&D Summary A set of carbonate plugs of different porosity, permeability, mineralogy and texture are measured at

More information

SENSITIVITY ANALYSIS OF THE PETROPHYSICAL PROPERTIES VARIATIONS ON THE SEISMIC RESPONSE OF A CO2 STORAGE SITE. Juan E. Santos

SENSITIVITY ANALYSIS OF THE PETROPHYSICAL PROPERTIES VARIATIONS ON THE SEISMIC RESPONSE OF A CO2 STORAGE SITE. Juan E. Santos SENSITIVITY ANALYSIS OF THE PETROPHYSICAL PROPERTIES VARIATIONS ON THE SEISMIC RESPONSE OF A CO2 STORAGE SITE Juan E. Santos Instituto del Gas y del Petróleo, Facultad de Ingeniería UBA and Department

More information

Reservoir simulation and feasibility study for seismic monitoring at CaMI.FRS, Newell County, Alberta

Reservoir simulation and feasibility study for seismic monitoring at CaMI.FRS, Newell County, Alberta Reservoir simulation and feasibility study for seismic monitoring at CaMI.FRS, Newell County, Alberta Marie Macquet 1,Donald C. Lawton 1,2 and Amin Saeedfar 2 1 CREWES, University of Calgary; 2 CMC Research

More information

Improved Exploration, Appraisal and Production Monitoring with Multi-Transient EM Solutions

Improved Exploration, Appraisal and Production Monitoring with Multi-Transient EM Solutions Improved Exploration, Appraisal and Production Monitoring with Multi-Transient EM Solutions Folke Engelmark* PGS Multi-Transient EM, Asia-Pacific, Singapore folke.engelmark@pgs.com Summary Successful as

More information

Integrating seismic, CSEM, and well-log data for reservoir characterization

Integrating seismic, CSEM, and well-log data for reservoir characterization H o n o r a r y L e c t u r e Integrating seismic, CSEM, and well-log data for reservoir characterization Lucy MacGregor, RSI S urely seismic tells you everything you need to know about the Earth? This

More information

Seismic Velocity Dispersion and the Petrophysical Properties of Porous Media

Seismic Velocity Dispersion and the Petrophysical Properties of Porous Media Seismic Velocity Dispersion and the Petrophysical Properties of Porous Media L. Flora Sun* University of Toronto, Toronto, ON lsun@physics.utoronto.ca and B. Milkereit University of Toronto, Toronto, ON,

More information

The elastic properties such as velocity, density, impedance,

The elastic properties such as velocity, density, impedance, SPECIAL SECTION: Rr ock Physics physics Lithology and fluid differentiation using rock physics template XIN-GANG CHI AND DE-HUA HAN, University of Houston The elastic properties such as velocity, density,

More information

CHARACTERIZATION OF SATURATED POROUS ROCKS WITH OBLIQUELY DIPPING FRACTURES. Jiao Xue and Robert H. Tatham

CHARACTERIZATION OF SATURATED POROUS ROCKS WITH OBLIQUELY DIPPING FRACTURES. Jiao Xue and Robert H. Tatham CHARACTERIZATION OF SATURATED POROUS ROCS WITH OBLIQUELY DIPPING FRACTURES Jiao Xue and Robert H. Tatham Department of Geological Sciences The University of Texas at Austin ABSTRACT Elastic properties,

More information

SUMMARY NUMERICAL SIMULATION OF BRINE-CO 2 FLOW AND WAVE PROPAGATION

SUMMARY NUMERICAL SIMULATION OF BRINE-CO 2 FLOW AND WAVE PROPAGATION Sensitivity analysis of the petrophysical properties variations on the seismic response of a CO 2 storage site Juan E. Santos, Universidad de Buenos Aires, Facultad Ingeniería, Instituto del Gas y del

More information

Downloaded 02/05/15 to Redistribution subject to SEG license or copyright; see Terms of Use at

Downloaded 02/05/15 to Redistribution subject to SEG license or copyright; see Terms of Use at Relationship among porosity, permeability, electrical and elastic properties Zair Hossain Alan J Cohen RSI, 2600 South Gessner Road, Houston, TX 77063, USA Summary Electrical resisivity is usually easier

More information

Rock Physics Modeling in Montney Tight Gas Play

Rock Physics Modeling in Montney Tight Gas Play Rock Physics Modeling in Montney Tight Gas Play Ayato Kato 1, Kunio Akihisa 1, Carl Wang 2 and Reona Masui 3 1 JOGMEC-TRC, Chiba, Japan, kato-ayato@jogmec.go.jp 2 Encana, Calgary, Alberta 3 Mitsubishi

More information

A New AVO Attribute for Hydrocarbon Prediction and Application to the Marmousi II Dataset*

A New AVO Attribute for Hydrocarbon Prediction and Application to the Marmousi II Dataset* A New AVO Attribute for Hydrocarbon Prediction and Application to the Marmousi II Dataset* Changcheng Liu 1 and Prasad Ghosh 2 Search and Discovery Article #41764 (2016) Posted January 25, 2016 *Adapted

More information

Velocity-effective stress response of CO 2

Velocity-effective stress response of CO 2 Exploration Geophysics (2006) 37, 60-66 Butsuri-Tansa (Vol. 59, No. 1) Mulli-Tamsa (Vol. 9, No. 1) Velocity-effective stress response of -saturated sandstones Anthony F. Siggins Key Words: Carbon dioxide,

More information

On discriminating sand from shale using prestack inversion without wells: A proof of concept using well data as a surrogate for seismic amplitudes

On discriminating sand from shale using prestack inversion without wells: A proof of concept using well data as a surrogate for seismic amplitudes SPECIAL Rock SECTION: physics R o c k p h y s i c s On discriminating sand from shale using prestack inversion without wells: A proof of concept using well data as a surrogate for seismic amplitudes M

More information

Short Note. A simple derivation of the effective stress coefficient for seismic velocities in porous rocks. Boris Gurevich. n = 1 K 0 /K s, (4)

Short Note. A simple derivation of the effective stress coefficient for seismic velocities in porous rocks. Boris Gurevich. n = 1 K 0 /K s, (4) GEOPHYSICS, VOL. 69, NO. 2 (MARCH-APRIL 2004); P. 393 397, 1 FIG. 10.1190/1.1707058 Short Note A simple derivation of the effective stress coefficient for seismic velocities in porous rocks Boris Gurevich

More information

SEG Houston 2009 International Exposition and Annual Meeting. that the project results can correctly interpreted.

SEG Houston 2009 International Exposition and Annual Meeting. that the project results can correctly interpreted. Calibration of Pre-Stack Simultaneous Impedance Inversion using Rock Physics Scott Singleton and Rob Keirstead, Rock Solid Images Log Conditioning and Rock Physics Modeling Summary Geophysical Well Log

More information

Unjacketed bulk compressibility of sandstone in laboratory experiments. R. M. Makhnenko 1 and J. F. Labuz 1

Unjacketed bulk compressibility of sandstone in laboratory experiments. R. M. Makhnenko 1 and J. F. Labuz 1 481 Unjacketed bulk compressibility of sandstone in laboratory experiments R. M. Makhnenko 1 and J. F. Labuz 1 1 Department of Civil Engineering, University of Minnesota, Minneapolis, MN 55455; PH (612)

More information

GRAIN SORTING, POROSITY, AND ELASTICITY. Jack Dvorkin and Mario A. Gutierrez Geophysics Department, Stanford University ABSTRACT

GRAIN SORTING, POROSITY, AND ELASTICITY. Jack Dvorkin and Mario A. Gutierrez Geophysics Department, Stanford University ABSTRACT GRAIN SORTING, POROSITY, AND ELASTICITY Jack Dvorkin and Mario A. Gutierrez Geophysics Department, Stanford University July 24, 2001 ABSTRACT Grain size distribution (sorting) is determined by deposition.

More information

Proceedings, International Snow Science Workshop, Banff, 2014

Proceedings, International Snow Science Workshop, Banff, 2014 SNOW SLAB FAILURE DUE TO BIOT-TYPE ACOUSTIC WAVE PROPAGATION Rolf Sidler 2 Simon Fraser University, 8888 University Drive, Burnaby V5A1S6, Canada ABSTRACT: Even though seismic methods are among the most

More information

We Density/Porosity Versus Velocity of Overconsolidated Sands Derived from Experimental Compaction SUMMARY

We Density/Porosity Versus Velocity of Overconsolidated Sands Derived from Experimental Compaction SUMMARY We 6 Density/Porosity Versus Velocity of Overconsolidated Sands Derived from Experimental Compaction S. Narongsirikul* (University of Oslo), N.H. Mondol (University of Oslo and Norwegian Geotechnical Inst)

More information

Youzuo Lin and Lianjie Huang

Youzuo Lin and Lianjie Huang PROCEEDINGS, Thirty-Ninth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 24-26, 2014 SGP-TR-202 Building Subsurface Velocity Models with Sharp Interfaces

More information

Some consideration about fluid substitution without shear wave velocity Fuyong Yan*, De-Hua Han, Rock Physics Lab, University of Houston

Some consideration about fluid substitution without shear wave velocity Fuyong Yan*, De-Hua Han, Rock Physics Lab, University of Houston ain enu Some consideration about fluid substitution without shear wave velocity Fuyong Yan*, De-Hua Han, Rock Physics Lab, University of Houston Summary When S-wave velocity is absent, approximate Gassmann

More information

Downloaded 08/29/13 to Redistribution subject to SEG license or copyright; see Terms of Use at

Downloaded 08/29/13 to Redistribution subject to SEG license or copyright; see Terms of Use at New approach to 3D inversion of MCSEM and MMT data using multinary model transform Alexander V. Gribenko and Michael S. Zhdanov, University of Utah and TechnoImaging SUMMARY Marine controlled-source electromagnetic

More information

Velocity-porosity relationships, 1: Accurate velocity model for clean consolidated sandstones

Velocity-porosity relationships, 1: Accurate velocity model for clean consolidated sandstones GEOPHYSICS, VOL. 68, NO. 6 (NOVEMBER-DECEMBER 2003); P. 1822 1834, 16 FIGS., 1 TABLE. 10.1190/1.1635035 Velocity-porosity relationships, 1: Accurate velocity model for clean consolidated sandstones Mark

More information

Crosswell tomography imaging of the permeability structure within a sandstone oil field.

Crosswell tomography imaging of the permeability structure within a sandstone oil field. Crosswell tomography imaging of the permeability structure within a sandstone oil field. Tokuo Yamamoto (1), and Junichi Sakakibara (2) (1) University of Miami and Yamamoto Engineering Corporation, (2)

More information

Full waveform inversion of shot gathers in terms of poro-elastic parameters

Full waveform inversion of shot gathers in terms of poro-elastic parameters Full waveform inversion of shot gathers in terms of poro-elastic parameters Louis De Barros, M. Dietrich To cite this version: Louis De Barros, M. Dietrich. Full waveform inversion of shot gathers in terms

More information

ROCK PHYSICS MODELING FOR LITHOLOGY PREDICTION USING HERTZ- MINDLIN THEORY

ROCK PHYSICS MODELING FOR LITHOLOGY PREDICTION USING HERTZ- MINDLIN THEORY ROCK PHYSICS MODELING FOR LITHOLOGY PREDICTION USING HERTZ- MINDLIN THEORY Ida Ayu PURNAMASARI*, Hilfan KHAIRY, Abdelazis Lotfy ABDELDAYEM Geoscience and Petroleum Engineering Department Universiti Teknologi

More information

Hydrogeophysics - Seismics

Hydrogeophysics - Seismics Hydrogeophysics - Seismics Matthias Zillmer EOST-ULP p. 1 Table of contents SH polarized shear waves: Seismic source Case study: porosity of an aquifer Seismic velocities for porous media: The Frenkel-Biot-Gassmann

More information

Integrating reservoir flow simulation with time-lapse seismic inversion in a heavy oil case study

Integrating reservoir flow simulation with time-lapse seismic inversion in a heavy oil case study Integrating reservoir flow simulation with time-lapse seismic inversion in a heavy oil case study Naimeh Riazi*, Larry Lines*, and Brian Russell** Department of Geoscience, University of Calgary **Hampson-Russell

More information

Summary. Introduction

Summary. Introduction Effect of over- and under-burden on time-lapse CSEM monitoring capabilities Arash JafarGandomi* and Andrew Curtis, School of GeoSciences, The University of Edinburgh, Kings Buildings, Edinburgh EH9 3JW,

More information

Downloaded 11/02/16 to Redistribution subject to SEG license or copyright; see Terms of Use at Summary.

Downloaded 11/02/16 to Redistribution subject to SEG license or copyright; see Terms of Use at   Summary. in thin sand reservoirs William Marin* and Paola Vera de Newton, Rock Solid Images, and Mario Di Luca, Pacific Exploración y Producción. Summary Rock Physics Templates (RPTs) are useful tools for well

More information

ScienceDirect. Model-based assessment of seismic monitoring of CO 2 in a CCS project in Alberta, Canada, including a poroelastic approach

ScienceDirect. Model-based assessment of seismic monitoring of CO 2 in a CCS project in Alberta, Canada, including a poroelastic approach Available online at www.sciencedirect.com ScienceDirect Energy Procedia 63 (2014 ) 4305 4312 GHGT-12 Model-based assessment of seismic monitoring of CO 2 in a CCS project in Alberta, Canada, including

More information

Geophysical Journal International

Geophysical Journal International Geophysical Journal International Geophys J Int 203 95, 679 688 Advance Access publication 203 October 3 doi: 0093/gji/ggt354 Effect of fracture fill on seismic attenuation and dispersion in fractured

More information

Estimating Permeability from Acoustic Velocity and Formation Resistivity Factor

Estimating Permeability from Acoustic Velocity and Formation Resistivity Factor 5th Conference & Exposition on Petroleum Geophysics, Hyderabad-2004, India PP 582-587 and Formation Resistivity Factor Majid Nabi-Bidhendi Institute of Geophysics, University of Tehran, P.O. Box 14155-6466,

More information

A Fast Method For Estimating Shear Wave Velocity By Using Neural Network

A Fast Method For Estimating Shear Wave Velocity By Using Neural Network Australian Journal of Basic and Applied Sciences, 5(11): 1429-1434, 2011 ISSN 1991-8178 A Fast Method For Estimating Shear Wave Velocity By Using Neural Network 1 Khashayar Tabari, 1 Orod Tabari, 2 Mahsa

More information

A look into Gassmann s Equation

A look into Gassmann s Equation A look into Gassmann s Equation Nawras Al-Khateb, CHORUS Heavy Oil Consortium, Department of Geoscience, University of Calgary nawras.alkhateb@ucalgary.ca Summary By describing the influence of the pore

More information

INVESTIGATION ON THE EFFECT OF STRESS ON CEMENTATION FACTOR OF IRANIAN CARBONATE OIL RESERVOIR ROCKS

INVESTIGATION ON THE EFFECT OF STRESS ON CEMENTATION FACTOR OF IRANIAN CARBONATE OIL RESERVOIR ROCKS SCA4-41 1/7 INVESTIGATION ON THE EFFECT OF STRESS ON CEMENTATION FACTOR OF IRANIAN CARBONATE OIL RESERVOIR ROCKS R. Behin, RIPI, NIOC This paper was prepared for presentation at the International Symposium

More information

Poisson's Ration, Deep Resistivity and Water Saturation Relationships for Shaly Sand Reservoir, SE Sirt, Murzuq and Gadames Basins, Libya (Case study)

Poisson's Ration, Deep Resistivity and Water Saturation Relationships for Shaly Sand Reservoir, SE Sirt, Murzuq and Gadames Basins, Libya (Case study) Journal of Geography and Geology; Vol. 7, No. 1; 2015 ISSN 1916-9779 E-ISSN 1916-9787 Published by Canadian Center of Science and Education Poisson's Ration, Deep Resistivity and Water Saturation Relationships

More information

Use of Seismic and EM Data for Exploration, Appraisal and Reservoir Characterization

Use of Seismic and EM Data for Exploration, Appraisal and Reservoir Characterization Use of Seismic and EM Data for Exploration, Appraisal and Reservoir Characterization Anton Ziolkowski and Folke Engelmark Petroleum Geo-Services CSEG, Calgary, 6 May 2009 Outline Exploration, appraisal,

More information

A014 Uncertainty Analysis of Velocity to Resistivity Transforms for Near Field Exploration

A014 Uncertainty Analysis of Velocity to Resistivity Transforms for Near Field Exploration A014 Uncertainty Analysis of Velocity to Resistiity Transforms for Near Field Exploration D. Werthmüller* (Uniersity of Edinburgh), A.M. Ziolkowski (Uniersity of Edinburgh) & D.A. Wright (Uniersity of

More information

The use of seismic attenuation to indicate saturation in hydrocarbon reservoirs: Theoretical study and modelling approach

The use of seismic attenuation to indicate saturation in hydrocarbon reservoirs: Theoretical study and modelling approach Available online at www.pelagiaresearchlibrary.com Advances in Applied Science Research, 2013, 4(2):45-53 ISSN: 0976-8610 CODEN (USA): AASRFC The use of seismic attenuation to indicate saturation in hydrocarbon

More information

AVO attribute inversion for finely layered reservoirs

AVO attribute inversion for finely layered reservoirs GEOPHYSICS, VOL. 71, NO. 3 MAY-JUNE 006 ; P. C5 C36, 16 FIGS., TABLES. 10.1190/1.197487 Downloaded 09/1/14 to 84.15.159.8. Redistribution subject to SEG license or copyright; see Terms of Use at http://library.seg.org/

More information

Seismic behaviour of CO 2 saturated Fontainebleau sandstone under in situ conditions

Seismic behaviour of CO 2 saturated Fontainebleau sandstone under in situ conditions Seismic behaviour of CO 2 urated Fontainebleau sandstone under in situ conditions Md Mizanul Huq Chowdhury*, University of Alberta, Edmonton, AB, Canada, mhchowdh@ualberta.ca and Douglas R. Schmitt, University

More information

Coupled seismoelectric wave propagation in porous media. Mehran Gharibi Robert R. Stewart Laurence R. Bentley

Coupled seismoelectric wave propagation in porous media. Mehran Gharibi Robert R. Stewart Laurence R. Bentley Coupled seismoelectric wave propagation in porous media Mehran Gharibi Robert R. Stewart Laurence R. Bentley a Introduction Seismic waves induce electric and magnetic fields. Conversion of acoustic energy

More information

Key Laboratory of Geo-detection (China University of Geosciences, Beijing), Ministry of Education, Beijing , China

Key Laboratory of Geo-detection (China University of Geosciences, Beijing), Ministry of Education, Beijing , China Pet.Sci.(20118:43-48 DOI 10.1007/s12182-011-0113-5 43 Experimental study of the relationship between fluid density and saturation and sonic wave velocity of rock samples from the WXS Depression, South

More information

Seismic velocity decrement ratios for regions of partial melt near the core-mantle boundary

Seismic velocity decrement ratios for regions of partial melt near the core-mantle boundary Stanford Exploration Project, Report 02, October 25, 999, pages 87 20 Seismic velocity decrement ratios for regions of partial melt near the core-mantle boundary James G. Berryman keywords: poroelasticity,

More information

SUMMARY INTRODUCTION EXPERIMENTAL PROCEDURE

SUMMARY INTRODUCTION EXPERIMENTAL PROCEDURE Frequency dependent elastic properties and attenuation in heavy-oil sands: comparison between measured and modeled data Agnibha Das, and Michael Batzle, Colorado School of Mines SUMMARY We have measured

More information

The prediction of reservoir

The prediction of reservoir Risk Reduction in Gas Reservoir Exploration Using Joint Seismic-EM Inversion GAS EXPLORATION By Yoram Rubin, G. Michael Hoversten, Zhangshuan Hou and Jinsong Chen, University of California, Berkeley A

More information

Effect of Dielectric Permittivity Distribution in Invaded Zone on Induction Log Data

Effect of Dielectric Permittivity Distribution in Invaded Zone on Induction Log Data Effect of Dielectric Permittivity Distribution in Invaded Zone on Induction Log Data Igor Yeltsov 1,2,3, Timofey Eltsov 1,2,3, Aleksandr Makarov 4, and Marina Nikitenko 1,4 1 Institute of Petroleum Geology

More information

6298 Stress induced azimuthally anisotropic reservoir - AVO modeling

6298 Stress induced azimuthally anisotropic reservoir - AVO modeling 6298 Stress induced azimuthally anisotropic reservoir - AVO modeling M. Brajanovski* (Curtin University of Technology), B. Gurevich (Curtin University of Technology), D. Nadri (CSIRO) & M. Urosevic (Curtin

More information

Rock physics and AVO applications in gas hydrate exploration

Rock physics and AVO applications in gas hydrate exploration Rock physics and AVO applications in gas hydrate exploration ABSTRACT Yong Xu*, Satinder Chopra Core Lab Reservoir Technologies Division, 301,400-3rd Ave SW, Calgary, AB, T2P 4H2 yxu@corelab.ca Summary

More information

Seismic characterization of Montney shale formation using Passey s approach

Seismic characterization of Montney shale formation using Passey s approach Seismic characterization of Montney shale formation using Passey s approach Ritesh Kumar Sharma*, Satinder Chopra and Amit Kumar Ray Arcis Seismic Solutions, Calgary Summary Seismic characterization of

More information

Uncertainty analysis for the integration of seismic and CSEM data Myoung Jae Kwon & Roel Snieder, Center for Wave Phenomena, Colorado School of Mines

Uncertainty analysis for the integration of seismic and CSEM data Myoung Jae Kwon & Roel Snieder, Center for Wave Phenomena, Colorado School of Mines Myoung Jae Kwon & Roel Snieder, Center for Wave Phenomena, Colorado School of Mines Summary Geophysical inverse problems consist of three stages: the forward problem, optimization, and appraisal. We study

More information

SPE Copyright 2009, Society of Petroleum Engineers

SPE Copyright 2009, Society of Petroleum Engineers SPE-124624 Joint Raial Inversion of Resistivity an Sonic Logs to Estimate In-Situ Petrophysical an Elastic Properties of Formations Robert K. Mallan, SPE, Jun Ma, Carlos Torres-Verín, SPE, an Gong Li Wang,

More information

NEW SATURATION FUNCTION FOR TIGHT CARBONATES USING ROCK ELECTRICAL PROPERTIES AT RESERVOIR CONDITIONS

NEW SATURATION FUNCTION FOR TIGHT CARBONATES USING ROCK ELECTRICAL PROPERTIES AT RESERVOIR CONDITIONS SCA2016-055 1/6 NEW SATURATION FUNCTION FOR TIGHT CARBONATES USING ROCK ELECTRICAL PROPERTIES AT RESERVOIR CONDITIONS Oriyomi Raheem and Hadi Belhaj The Petroleum Institute, Abu Dhabi, UAE This paper was

More information

SEG/New Orleans 2006 Annual Meeting

SEG/New Orleans 2006 Annual Meeting On the applicability of Gassmann model in carbonates Ravi Sharma*, Manika Prasad and Ganpat Surve (Indian Institute of Technology, Bombay), G C Katiyar (Third Eye Centre, Oil and Natural Gas Corporation

More information

Summary. Introduction

Summary. Introduction Noel Black*, Glenn A. Wilson, TechnoImaging, Alexander V. Gribenko and Michael S. Zhdanov, TechnoImaging and The University of Utah Summary Recent studies have inferred the feasibility of time-lapse controlled-source

More information

Estimating the hydrocarbon volume from elastic and resistivity data: A concept

Estimating the hydrocarbon volume from elastic and resistivity data: A concept INTERPRETER S CORNER Coordinated by Rebecca B. Latimer Estimating the hydrocarbon volume from elastic and resistivity data: A concept CARMEN T. GOMEZ, JACK DVORKIN, and GARY MAVKO, Stanford University,

More information

Integrating rock physics and full elastic modeling for reservoir characterization Mosab Nasser and John B. Sinton*, Maersk Oil Houston Inc.

Integrating rock physics and full elastic modeling for reservoir characterization Mosab Nasser and John B. Sinton*, Maersk Oil Houston Inc. Integrating rock physics and full elastic modeling for reservoir characterization Mosab Nasser and John B. Sinton*, Maersk Oil Houston Inc. Summary Rock physics establishes the link between reservoir properties,

More information

Estimating rock porosity and fluid saturation using only seismic velocities

Estimating rock porosity and fluid saturation using only seismic velocities Stanford Exploration Project, Report, October 5, 999, pages 4 57 Estimating rock porosity and fluid saturation using only seismic velocities James G. Berryman, Patricia A. Berge, and Brian P. Bonner keywords:

More information

G008 Advancing Marine Controlled Source Electromagnetics in the Santos Basin, Brazil

G008 Advancing Marine Controlled Source Electromagnetics in the Santos Basin, Brazil G008 Advancing Marine Controlled Source Electromagnetics in the Santos Basin, Brazil M.P. Buonora* (Petrobras), A. Zerilli (WesternGeco Electromagnetics), T. Labruzzo (WesternGeco Electromagnetics) & L.F.

More information

Research Article Study on p-wave Attenuation in Hydrate-Bearing Sediments Based on BISQ Model

Research Article Study on p-wave Attenuation in Hydrate-Bearing Sediments Based on BISQ Model Geological Research Volume 23, Article ID 76579, 8 pages http://dx.doi.org/.55/23/76579 Research Article Study on p-wave Attenuation in Hydrate-Bearing Sediments Based on BISQ Model Chuanhui Li, Kai Feng,

More information

146 THE LEADING EDGE February 2016 Special Section: Imaging/inversion: Estimating the earth model

146 THE LEADING EDGE February 2016 Special Section: Imaging/inversion: Estimating the earth model A downscaling strategy from FWI to microscale reservoir properties from high-resolution images B. Dupuy 1, A. Asnaashari 2, R. Brossier 3, S. Garambois 3, L. Métivier 3, A. Ribodetti 4, and J. Virieux

More information

Rock Physics & Formation Evaluation. Special Topic

Rock Physics & Formation Evaluation. Special Topic Volume 30 Issue 5 May 2012 Special Topic Technical Articles Dual representation of multiscale fracture network modelling for UAE carbonate field AVO and spectral decomposition for derisking Palaeogene

More information

Verification of Archie Constants Using Special Core Analysis and Resistivity Porosity Cross Plot Using Picket Plot Method

Verification of Archie Constants Using Special Core Analysis and Resistivity Porosity Cross Plot Using Picket Plot Method Int'l Journal of Computing, Communications & Instrumentation Engg. (IJCCIE) Vol. 4, Issue (207) ISSN 2349-469 EISSN 2349-477 Verification of Archie Constants Using Special Core Analysis and Resistivity

More information

Theoretical and Experimental Studies of Seismoelectric Conversions in Boreholes

Theoretical and Experimental Studies of Seismoelectric Conversions in Boreholes COMMUNICATIONS IN COMPUTATIONAL PHYSICS Vol. 3, No. 1, pp. 109-120 Commun. Comput. Phys. January 2008 Theoretical and Experimental Studies of Seismoelectric Conversions in Boreholes Zhenya Zhu 1,, Shihong

More information

The relationship between elastic-wave velocities and density in sedimentary rocks: A proposal

The relationship between elastic-wave velocities and density in sedimentary rocks: A proposal 260 The relationship between elastic-wave velocities and density in sedimentary rocks: A proposal Susan L.M. Miller and Robert R. Stewart ABSTRACT When information about density (0) is unavailable, it

More information

Electroseismics for CO 2 storage and hydrocarbon reservoirs. Fabio I. Zyserman

Electroseismics for CO 2 storage and hydrocarbon reservoirs. Fabio I. Zyserman Electroseismics for CO 2 storage and hydrocarbon reservoirs Fabio I. Zyserman EOST, March 12th, 213 Electroseismics: field experiments Thompson et al, 27 Electroseismic response in gas and oil reservoirs

More information

Modeling elastic wave velocities and attenuation in rocks saturated with heavy oil

Modeling elastic wave velocities and attenuation in rocks saturated with heavy oil GEOPHYSICS, OL. 73, NO. 4 JULY-AUGUST 2008 ; P. E115 E122, 8 FIGS. 10.1190/1.2940341 Modeling elastic wave velocities and attenuation in rocks saturated with heavy oil Boris Gurevich 1,2, Konstantin Osypov

More information

Reservoir Rock Properties COPYRIGHT. Sources and Seals Porosity and Permeability. This section will cover the following learning objectives:

Reservoir Rock Properties COPYRIGHT. Sources and Seals Porosity and Permeability. This section will cover the following learning objectives: Learning Objectives Reservoir Rock Properties Core Sources and Seals Porosity and Permeability This section will cover the following learning objectives: Explain why petroleum fluids are found in underground

More information

23855 Rock Physics Constraints on Seismic Inversion

23855 Rock Physics Constraints on Seismic Inversion 23855 Rock Physics Constraints on Seismic Inversion M. Sams* (Ikon Science Ltd) & D. Saussus (Ikon Science) SUMMARY Seismic data are bandlimited, offset limited and noisy. Consequently interpretation of

More information

We apply a rock physics analysis to well log data from the North-East Gulf of Mexico

We apply a rock physics analysis to well log data from the North-East Gulf of Mexico Rock Physics for Fluid and Porosity Mapping in NE GoM JACK DVORKIN, Stanford University and Rock Solid Images TIM FASNACHT, Anadarko Petroleum Corporation RICHARD UDEN, MAGGIE SMITH, NAUM DERZHI, AND JOEL

More information

THE ROCK PHYSICS HANDBOOK

THE ROCK PHYSICS HANDBOOK THE ROCK PHYSICS HANDBOOK TOOLS FOR SEISMIC ANALYSIS IN POROUS MEDIA Gary Mavko Tapan Mukerji Jack Dvorkin Stanford University Stanford University Stanford University CAMBRIDGE UNIVERSITY PRESS CONTENTS

More information

Measurement of elastic properties of kerogen Fuyong Yan, De-hua Han*, Rock Physics Lab, University of Houston

Measurement of elastic properties of kerogen Fuyong Yan, De-hua Han*, Rock Physics Lab, University of Houston Measurement of elastic properties of kerogen Fuyong Yan, De-hua Han*, Rock Physics Lab, University of Houston Summary To have good understanding of elastic properties of organic shale, it is fundamental

More information

Temperature Dependence of Acoustic Velocities in Gas-Saturated Sandstones

Temperature Dependence of Acoustic Velocities in Gas-Saturated Sandstones Temperature Dependence of Acoustic Velocities in Gas-Saturated Sandstones Andreas Bauer, Christian Lehr, Frans Korndorffer, Arjan van der Linden Shell Global Solutions International, Rijswijk. Netherlands

More information

Scale-up in poroelastic systems and applications to reservoirs

Scale-up in poroelastic systems and applications to reservoirs Scale-up in poroelastic systems and applications to reservoirs James G. Berryman 1 ABSTRACT A fundamental problem of heterogeneous systems is that the macroscale behavior is not necessarily well-described

More information

Effects of fluid changes on seismic reflections: Predicting amplitudes at gas reservoir directly from amplitudes at wet reservoir

Effects of fluid changes on seismic reflections: Predicting amplitudes at gas reservoir directly from amplitudes at wet reservoir GEOPHYSICS, VOL. 77, NO. 4 (JULY-AUGUST 2012); P. D129 D140, 15 FIGS., 2 TABLES. 10.1190/GEO2011-0331.1 Effects of fluid changes on seismic reflections: Predicting amplitudes at gas reservoir directly

More information

Tu B3 15 Multi-physics Characterisation of Reservoir Prospects in the Hoop Area of the Barents Sea

Tu B3 15 Multi-physics Characterisation of Reservoir Prospects in the Hoop Area of the Barents Sea Tu B3 15 Multi-physics Characterisation of Reservoir Prospects in the Hoop Area of the Barents Sea P. Alvarez (RSI), F. Marcy (ENGIE E&P), M. Vrijlandt (ENGIE E&P), K. Nichols (RSI), F. Bolivar (RSI),

More information

Geophysical model response in a shale gas

Geophysical model response in a shale gas Geophysical model response in a shale gas Dhananjay Kumar and G. Michael Hoversten Chevron USA Inc. Abstract Shale gas is an important asset now. The production from unconventional reservoir like shale

More information