Three-component seismic data in thin interbedded reservoir exploration
Zhang Li-Yan1,2,3, Wang Yan-Chun1,2, and Pei Jiang-Yun3
1. Geodetection and Information Technology Institute, China University of Geosciences, Beijing 100083, China.
2. Key Laboratory of Earth Prospecting and Information Technology, China University of Geosciences, Beijing 100083, China.
3. Exploration and development Research Institute of Daqing oil field Company P.R. Daqing 163712, China.
Abstract We present the first successful application of three-component seismic data to thin interbedded reservoir characterization in the Daqing placanticline of the LMD oilfield. The oilfield has reached the final high water cut stage and the principal problem is how to recognize the boundaries of sand layers that are thicker than 2 m. Conventional interpretation of single PP-wave seismic data results in multiple solutions, whereas the introduction of PS-wave enhances the reliability of interpretation. We analyze the gas reservoir characteristics by joint PP- and PS-waves, and use the amplitude and frequency decomposition attributes to delineate the gas reservoir boundaries because of the minimal effect of fluids on S-wave. We perform joint inversion of PP- and PS-waves to obtain VP/VS, λρ, and μρ and map the lithology changes by using density, λρ, and μρ. The 3D–3C attribute λρ slices describe the sand layers distribution, while considering the well log data, and point to favorable region for tapping the remaining oil.
This research is sponsored by the China Postdoctoral Science Foundation Projects (2014M550779).
Cite this article:
Zhang Li-Yan,Wang Yan-Chun,Pei Jiang-Yun. Three-component seismic data in thin interbedded reservoir exploration[J]. APPLIED GEOPHYSICS, 2015, 12(1): 79-85.
[1]
Barkved, O. I., Mueller, M. C., and Thomsen, L., 1999, Vector interpretation of the Valhall 3D/4C OBS dataset: 61st EAGE conference and technical exhibition, Extended Abstrracts, #6-42.
[2]
Chen, T. S., and Wei, X. C., 2012, Zeoppritz-based joint AVO invertion of PP and PS waves in ray parameter domain: 82nd Ann. Int. Meet. Soc. Expl. Geophys., Expanded Abstracts, 1006-1010.
[3]
Dai, H. C., Li, X. Y., and Xu, T. J., 2014, A model-based approach for registration of PP and PS wave in the depth domain: 84th Ann. Int. Meet. Soc. Expl. Geophys., Expanded Abstracts, 1960-1964.
[4]
Granli, J. R., Arntsen, B. A., and Hilde, E., 1999, Imaging through gas filled sediments using marine shear-wave data: Geophysics, 64, 668-677.
[5]
Hu, G. Q., Liu, Y., and Wei, X. C. et al, 2011, Joint PP and PS AVO inversion based on Bayes theorem: Applied Geophysics, 8(4), 293-302.
[6]
Hou，D. J., Liu, Y., Hu, G. Q., et al, 2014, Prestack multi wave joint inversion for elastic moduli based on Bayesian theory: Chinese J. Geophys. (in Chinese), 57(4), 1251-1264.
[7]
Li, X. Y., Dai, H. C., Mueller, M. C. et al, 2001, Compensating for the effects of gas clo- uds on C-wave imaging: A case study from Valhall: The Leading Edge, 20, 1022-1028.
[8]
Tang, J. M., Zhang, S. N., and Li, X. Y., 2007, Case study of PP and PS seismic response from fractured tight gas reservoirs: 77th Ann. Int. Meet. Soc. Expl. Geophys., Expanded Abstracts, 1049-1053.
[9]
Zou, X. F., Zhan, S. F., and Su, Z. H., 2007, 3C/3D Seismic Exploration Technology And Application Results: 77th Ann. Int. Meet. Soc. Expl. Geophys., Expanded Abstracts 1059-1063.
[10]
Zhang, Y. J., Liu, H., and Feng, L. L., 2014, Prestack sparse spike PP and PS joint inversion generalized linear inversion: CPS/SEG Beijing International Geophysical Conference, 588-591.
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