Cite this article
3
Download
34
Views
Journal Browser
Volume | Year
Issue
Search
News and Announcements
View All
ARTICLE

S-wave velocity estimation and reservoir type identification based on partially connected porosity model of carbonate reservoir

XIAO-YUE ZHOU1 LI-DENG GAN1 TING-QIANG YANG2 XIAO-YU JIANG1 LE-LE WEI1
Show Less
1 Research Institute of Petroleum Exploration and Development, PetroChina, Beijing, P.R. China.,
2 Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, P.R. China.,
JSE 2023, 32(1), 51–65;
Submitted: 29 August 2022 | Accepted: 10 December 2022 | Published: 1 February 2023
© 2023 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/ )
Abstract

Zhou, X.-Y., Gan, L.-D., Yang, T.-Q., Jiang, X.-Y. and Wer’ L.-L., 2023. S-wave velocity estimation and reservoir type identification based on partially connected porosity model of carbonate reservoir. Journal of Seismic Exploration, 32: 51-65. With the deepening of global oil and gas exploration and development, the exploration direction has gradually shifted from conventional oil and gas reservoirs to special oil and gas reservoirs, such as carbonate reservoirs and tight reservoirs, which often have very complex pore structures. The partially connected pore model is an equivalent medium model to describe the multi pore structure. The model divides the pores into an isolated pore system dominated by micropores and a connected pore system dominated by macropores, which has achieved good results in the application of tight gas bearing sandstone. But when the model is applied in carbonate reservoirs, due to a huge amount of model parameters and complex mineral composition of carbonate rocks, the effect of direct application of the model is non-ideal. In this paper, through the steps of environmental correction, optimization log interpretation, sensitivity analysis of model parameters and determination of key parameters, a petrophysical modeling process suitable for carbonate reservoirs is established, and the S-wave velocity of two different reservoir space types of the Dengying Formation in Central Sichuan paleo-uplift is predicted, and considerable results are obtained. In addition, the soft pore scale factor inversed in the modeling process has indicative significance for the identification and division of reservoir space types.

Keywords
carbonate reservoirs
petrophysical modeling
optimization log interpretation
S-wave velocity estimation
partially connected pore model
References
  1. Gassmann, F., 1961. Uber die Elastizitat poréser Medien. Vierter Naturgesellsch. Ziirich,96: 1-23.
  2. Gong, H., Su, M., Wang, Z, ........... , 2008. Analysis of environmental influence factorson well data and study on practical correction method. Computing Techniques for
  3. Geophysical and Geochemical Exploration, 30(1): 43-47.
  4. Jia, C., Zheng, M. and Zhang, Y., 2014. Four important theoretical issues ofunconventional petroleum geology. Acta Petrol. Sin., 1: 1-10.
  5. Liu, G. and Tan, Y., 1993. Borehole diameter correction for acoustic and density loggingdata. Oil Geophys. Prosp., 28: 232-240.
  6. Liu, Z., Wang, J., Yang, X., 0.0.0.2... , 2014. Analyzing on applicability of expandinginfluence correction method of density logging in the coalbed methane reservoir.Progress in Geophysics, 29(5): 2219-2223.
  7. Mo, J., Wang, X. and Leng, S., .......... , 2013. Reservoir characteristics and controlfactors of Sinian Dengying Formation in central Sichuan. Geol. China, 40: 1505-
  8. Mori, T. and Tanaka, K., 1973. Average stress in matrix and average elastic energy ofmaterials with misfitting inclusions. Acta Metallur., 21: 571-574.
  9. Wang, Y., Xia, H., Chen, K., .......... , 2000. Optimized log interpretation for carbonatereservoirs in the Tarim Basin. J. Southw. Petrol. Inst., 22(4): 18-21.
  10. Xu, C., 2011. The Study of Prediction for the Carbonate Rocks in Moxi, Central SichuanPaleouplift. Northeast Petroleum University.
  11. Yan, X., 2012. Seismic Rock Physical Modeling and Application of Tight Reservoir. Res.Inst. Petrol. Explor. Develop., CITY???.
  12. Yan, X., Li, X., Wei, X., .......... , 2016. Rock physics modeling in partially connectedporous medium. Expanded Abstr., 86th Ann. Internat. SEG Mtg., Dallas.
  13. Zhao, W., Hu, S. and Liu, W., .......... , 2014. Petroleum geological features andexploration prospect in deep marine carbonate strata onshore China: A furtherdiscussion. Natur. Gas Indust., 34(4): 1-9.
Share
Back to top
Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing