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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
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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: 9 June 2025 | Revised: 9 June 2025 | Accepted: 9 June 2025 | Published: 9 June 2025
© 2025 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
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing