AccScience Publishing / JSE / Article
Submit to JSE
Cite this article
44
Views
Journal Browser
Volume | Year
Issue
Search
Forthcoming Issue
Current Issue
View All
News and Announcements
View All
ARTICLE

Fluid sensitivity of rock physics parameters in reservoirs: Quantitative analysis

QINGCAI ZENG1 ,  YUQIAN GUO2 ,  REN JIANG1 ,  JING BA3* ,  HONGDA MA2 ,  JIONG LIU4
Show Less
1 Research Institute of Petroleum Exploration and Development - Langfang, CNPC, Hebei 065007, P.R. China.,
2 CGG, 10300 Town Park Dr., Houston, TX 77072, U.S.A.,
3 School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, P.R. China. jba@hhu.edu.cn,
4 Petroleum Exploration and Production Institute, SINOPEC, Beijing 100083, P.R. China.,
JSE 2017, 26(2), 125–140;
Submitted: 27 May 2016 | Accepted: 13 December 2016 | Published: 1 April 2017
© 2017 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Download PDF
Cite
XML
Abstract

Zeng, Q., Guo, Y., Jiang, R., Ba, J., Ma, H. and Liu, J., 2017. Fluid sensitivity of rock physics parameters in reservoirs: Quantitative analysis. Journal of Seismic Exploration, 26: 125-140. Pore fluid is an important factor affecting on reservoir properties. Generally, variations of elastic parameters reflect the changes of hydrocarbon saturation in rocks, which are meaningful for seismic identification of reservoir hydrocarbons. In this study, distribution features of the measured data are analyzed on the rock property crossplots, based on the relative variations of rock physics parameters between different fluid-saturation states, so that an evaluation methodology of effective fluid sensitivity indicator (EFSI) is presented to quantitatively analyze the influence of pore fluids on rock parameters. It is applied on the thirteen typical rock physics parameters based on the measured data from the carbonates of China. On the crossplots of the selected rock physics parameters with high EFSI values, reservoir rocks containing different types of fluid can be effectively discriminated.

Keywords
Fluid Sensitivity Indicator (FSI)
rock physics parameters
fluid identification
Effective Fluid Sensitivity Indicator (EFSI)
References
  1. Agersborg. R.. Johansen, T.A. and Ruud, B.O., 2008. Modeling reflection signatures of pore fluidand dual porosity in carbonate reservoirs. J. Seismic Explor., 17: 63-83.
  2. Avseth, I’., 2000. Combining Rock Physics and Sedimentology for Seismic Reservoir
  3. Characterization of North Sea Turbidite Systems. Ph.D. thesis, Stanford University.
  4. Batzle, M. and Wang, Z., 1992. Seismic properties of pore fluids. Geophysics. 57: 1396-1408.
  5. Batzle, M., Han, D. and Hofmann, R., 2001. Optimal hydrocarbon indicators. Expanded Abstr.71st Ann. Internat. SEG Mtg., San Antonio: 1697-1700.
  6. Castagna, J.P. and Smith, $.W., 1994, Comparison of AVO indicators: A modeling study.Geophysics, 59: 1849-1855.
  7. Dillon, L., Schwedersky, G., Guilherme, V., Velloso, R. and Numes, C., 2003. A multiscale 35
  8. DIU] elastic attributes evaluation. The Leading Edge, 22: 1024-1029.
  9. Fatti, J.L., Smith, G.C., Vail, P.J., Strauss, P.J and Levilt, P.R., 1994. Detection of gas insandstone reservoirs using AVO ana : A 3-D seismic case history using the Geo-stacktechnique. Geophysics, 59: 1362-1376.
  10. Gray, D., Goodway, B. and Chen, T., 1999. Bridging the gap: using AVO to detect changes infundamental elastic constants. Expanded Abstr.. 6{st LAGI Conf.. Helsinki: 6-50.FLUID SENSITIVITY OF ROCK PHYSICS PARAMETERS 139
  11. Goodway, W., Chen, T. and Downton, J., 1997. Improved AVO fluid detection and lithologydiscrimination using Lamé petrophysical parameters. Expanded Abstr., 67th Ann. Internat.SEG Mtg., Dallas: 183-186.
  12. Goodway, W., 2001. AVO and Lamé constants for rock parameterization and fluid detection.Recorder, 26: 39-60.
  13. Guo. Y., Ma, H., Ba, J., Zhao, H., Long, C. and Wang, H., 2014. Fluid sensitivity of rock physicsparameters in sandstone. quantitative analysis. Extended Abstr., 76th EAGE Conf..Anisterdam: P11 09.
  14. Guo, Y., Ba, J., Zhao, H., Dovrkin, J., Yao, F. and Hu, T., 2013. Velocity dispersion insandstones with oil and brine: Experimental measurements and theoretical predictions.
  15. Extended Abstr., EAGE Workshop on Seismic Attenuation, Singapore.
  16. Hedlin, K., 2000, Pore space modulus and extraction using AVO. Expanded Abstr., 70th Ann.Internat. SEG Mtg., Calgary, AB: 170-173.
  17. Hilterman, F.J., 2001. Seismic Amplitude Interpretation. 2001 distinguished instructor short course,No, 4. SEG, Tulsa, OK.
  18. Hornby, B.E., 1998. Experimental laboratory determination of the dynamic elastic properties of wetdrained shakes. Geophys. Res., 103: 945-964.tnhof, M.G., 2003. Estimating reservoir changes from AVO changes. J. Seismic Explor., 12:141-150.
  19. Keho, T.H., 2000. The AVO hodogram: Using polarization to identify anomalies. Expanded Abstr.,70th Ann. Internat. SEG Mtg., Calgary, AB: 118-121.
  20. Keho, T.H., Lemanski, S., Ripple, R. and Tambunan, B.R., 2001. The AVO hodogram: Usingpolarization to identify anomalies. The Leading Edge, 20: 1214-1224.
  21. Liu. M. and Cong, T., 2012. Fluid discrimination using a new fluid-identifying factor. Expanded
  22. Abstr., 82nd Ann. Internat. SEG Mtg., Las Vegas: 1-5.
  23. Mavko, G., Mukerji, T. and Dvorkin, J., 2009. The Rock Physics Handbook: Tools for Seismic
  24. Analysis of Porous Media (2nd ed.). Cambridge University Press, Cambridge.
  25. Ostrander, W.J., 1984. Elastic waves through a packing of spheres. Geophysics, 59: 1362-1376.
  26. Pei, F., Zou, C., He, T., Shi, G., Qiu, G. and Ren, K., 2010. Fluid sensitivity study of elasticparameters in low-medium porosity and permeability reservoir rocks. Appl. Geophys., 7:1-9.
  27. Russell, B.H., Hedlin, K., Hillerman, F.J. and Lines, L.R., 2003. Fluid-property discriminationwith AVO: A Biot-Gassmann perspective. Geophysics, 68: 29-39.
  28. Shaw, R.K. and Sen, M.K., 2006. Use of AVOA data to estimate fluid indicator in a verticallyfractured medium. Geophysics, 71(3), C15-C24.
  29. Simm, R., White, R. and Uden, R., 2000. The anatomy of AVO crossplots. The Leading Edge, 2:150-155.
  30. Smith, G.C., 2003. The fluid factor angle and the crossplot angle. Expanded Abstr., 73rd Ann.Internat. SEG Mtg., Dallas: 185-188.
  31. Smith, G.C., 2000. A comparison of the fluid factor with 入 and # in AVO analysis. Expanded
  32. Abstr., 70th Ann. Internat. SEG Mtg., Calgary, AB: 122-125.
  33. Smith, G.C. and Sutherland, R.A., 1996. The fluid factor as an AVO indicator. Geophysics, 61:1425-1428.
  34. Vasheghani, F. and Lines, L.R., 2012. Estimating heavy oil viscosity from crosswell seismic data.J. Seismic Explor., 21: 247-266.
  35. Zhang, S.. Yin, X. and Zhang, F., 2009. Fluid discrimination study from fluid elastic impedance.
  36. Expanded Abstr., 79th Ann. Internat. SEG Mtg., Houston: 2437-2441.
  37. Zhou, Z. and Hilterman, F.J., 2007. Is there a basis for AVO attributes? Expanded Abstr., 77thAnn. Internat. SEG Mtg., San Antonio: 244-248.
  38. Zhou, Z., and Hilterman, F. J., 2010, A comparison between methods that discriminate fluid contentin unconsolidated sandstone reservoirs, Geophysics, 75(1), B47-B48.140 ZENG, GUO, JIANG, BA, MA & LIU
Share
Back to top
Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here
Accept