Applied Geophysics

, Volume 14, Issue 3, pp 372–380 | Cite as

Shear wave velocity prediction during CO2-EOR and sequestration in the Gao89 well block of the Shengli Oilfield

  • Lin Li
  • Jin-Feng Ma
  • Hao-Fan Wang
  • Ming-You Tan
  • Shi-Ling Cui
  • Yun-Yin Zhang
  • Zhi-Peng Qu
Production seismics
  • 15 Downloads

Abstract

Shear-wave velocity is a key parameter for calibrating monitoring time-lapse 4D seismic data during CO2-EOR (Enhanced Oil Recovery) and CO2 sequestration. However, actual S-wave velocity data are lacking, especially in 4D data for CO2 sequestration because wells are closed after the CO2 injection and seismic monitoring is continued but no well log data are acquired. When CO2 is injected into a reservoir, the pressure and saturation of the reservoirs change as well as the elastic parameters of the reservoir rocks. We propose a method to predict the S-wave velocity in reservoirs at different pressures and porosities based on the Hertz–Mindlin and Gassmann equations. Because the coordination number is unknown in the Hertz–Mindlin equation, we propose a new method to predict it. Thus, we use data at different CO2 injection stages in the Gao89 well block, Shengli Oilfield. First, the sand and mud beds are separated based on the structural characteristics of the thin sand beds and then the S-wave velocity as a function of reservoir pressure and porosity is calculated. Finally, synthetic seismic seismograms are generated based on the predicted P- and S-wave velocities at different stages of CO2 injection.

Keywords

coordination number bulk modulus shear modulus Hertz–Mindlin shear wave CO2-EOR 

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Notes

Acknowledgements

We wish to thank the staff of the Geophysical Research Institute of SINOPEC Shengli Oilfield for their cooperation and support. The authors are particularly grateful to Professor Huang Xuri and Chen Xiaohong for their guidance and comments.

References

  1. Brown, L. T., 2002, Integration of rock physics and reservoir simulation for the interpretation of time-lapse seismic data at Weyburn Field, Saskatchewan: MSc. Thesis, Colorado School of Mines.Google Scholar
  2. Castagna, J. P., Batzle, M. L., and Eastwood, R. L., 1985, Relationships between compressional-wave and shear wave velocities in clastic rocks: Geophysics, 50(4), 571–581.CrossRefGoogle Scholar
  3. Gassmann, F., 1951, Elastic waves through a packing of spheres: Geophysics, 16(4), 673–682CrossRefGoogle Scholar
  4. Han, D. H., Nur, A., and Morgan, D., 1986, Effects of porosity and clay content on wave velocities in sandstones: Geophysics, 51(11), 2093–2107.CrossRefGoogle Scholar
  5. Kuster, G. T., and Toksöz, M. N., 1974, Velocity and attenuation of seismic waves in two-phase media: Part I. theoretical formulations: Geophysics, 39(5), 587–618.CrossRefGoogle Scholar
  6. Lee, M. W., 2003, Velocity ration and its application to predicting velocities: U.S. Geological Survey Bulletin 2197, Denver, Colorado.Google Scholar
  7. Lee, M. W., 2006, A simple method of predicting S-wave velocity: Geophysics, 71(6), 161–164.CrossRefGoogle Scholar
  8. Liu, L, Geng, J. H., and Guo, T. L., 2011, The bound weighted average method (BWAM) for predicting S-wave velocity: Applied Geophysics, 9(4), 421–428.CrossRefGoogle Scholar
  9. Liu, Y. J., Li, Sh. J., Wang, Y. G., and Xia, Y. H., 2016, Reservoir prediction based on shear wave in Sulige Gas Field: China. Oil Geophysical Proepecting, 51(1), 165–173.Google Scholar
  10. Luo, H. M., Luo, X. R., Liu, S. H., et al., 2014, Physical features and influencing factors of elastic velocity of compacted sandy-conglomerates in northern steep slope, Dongying sag: Petroleum Geology and Recovery Efficiency, 21(2), 91–94.Google Scholar
  11. Luo, S. L., Yang, P. J., Hu, G. M., et al., 2016, S-wave velocity prediction based on the modified P-L model and matrix equation iteration: Chinese J. Geophys, 59(5), 1839–1848.Google Scholar
  12. Mavko, G., Mukerji, T., and Dvorkin, J. P., 1998, The Rock Physics Handbook: Cambridge University Press, 51–52.Google Scholar
  13. Ma, J., Li, L., Wang, H., et al., 2016, Geophysical monitoring technology for CO2 sequestration: Applied Geophysics, 13(2), 288–306.CrossRefGoogle Scholar
  14. Mindlin, R. D., 1949, Compliance of elastic bodies in contact: Journal of Applied Mechanics, 16, 259–268.Google Scholar
  15. Murphy, W., 1982, Effects of microstructure and pore fluids on the acoustic properties of granular sedimentary materials: PhD Thesis, Stanford University.Google Scholar
  16. Pride, S. R., Berryman, J. G., and Harris, J. M., 2004, Seismic attenuation due to wave-induced flow: Journal of Geophysical Research, 109, B01201.CrossRefGoogle Scholar
  17. Qiu, G. Q., Ling Y., and Fan, H. H., 2003, The characteristics and distribution of abnormal pressure in the Paleogene source rocks of Dongying Sag: Petroleum Exploration and Development, 30(3), 71–75.Google Scholar
  18. Shi, H., 2008, Numerical simulation research on parameter optimization of CO2 miscible flooding of Gao89-1 Block in Zheng Lizhuang Oil field: Offshore Oil, 28(1), 68–73.Google Scholar
  19. Tan, M. Y., Zhang, J. N., and Xu, L., 2004, Prediction method of formation pressure in Jiyuan Depression: Oil Geophysical Prospecting, 39(3), 314–318.Google Scholar
  20. Walton, K., 1987, The effective elastic moduli of a random packing of spheres: Journal of the Mechanics and Physics of Solids, 35(2), 213–226.CrossRefGoogle Scholar
  21. Winkler, K. W., 1983, Contact stiffness in granular and porous materials: comparison between theory and experiment: Geophysical Research Letter, 10, 1073–1076.CrossRefGoogle Scholar
  22. Wood, A. W., 1955, A textbook of sound: The MacMillan Co., New York.Google Scholar
  23. Xu, S., and White, R. E., 1995, A new velocity model for clay-sand mixtures: Geophysical Prospecting, 43(1), 91–118.CrossRefGoogle Scholar
  24. Xu, S., and Payne, M. A., 2009, Modeling elastic properties in carbonate rocks: The Leading Edge, 28, 66–74.CrossRefGoogle Scholar
  25. Zhu, C., Guo, Q. X., Gong, Q. S., Liu, Z. G., Li, S. M., and Huang, G. P., 2015, Prestack forward modeling of tight reservoirs based on Xu-White model: Applied Geophysics, 12(3), 389–399.CrossRefGoogle Scholar

Copyright information

© Editorial Office of Applied Geophysics and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Lin Li
    • 1
  • Jin-Feng Ma
    • 1
  • Hao-Fan Wang
    • 1
  • Ming-You Tan
    • 2
  • Shi-Ling Cui
    • 2
  • Yun-Yin Zhang
    • 2
  • Zhi-Peng Qu
    • 2
  1. 1.National & Local Joint Engineering Research Center of Carbon Capture and Storage Technology, Department of Geology.Northwest UniversityXi’anChina
  2. 2.SINOPEC Shengli Geophysical Research InstituteDongyingChina

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