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Rapid screening and optimization of CO_(2) enhanced oil recovery operations in unconventional reservoirs:A case study

Shuqin Wen Bing Wei Junyu You Yujiao He Qihang Ye Jun Lu

Petroleum2025，Vol.11Issue(2)：P.188-200,13.

Petroleum2025，Vol.11Issue(2)：P.188-200,13.DOI:10.1016/j.petlm.2025.03.001

Rapid screening and optimization of CO_(2) enhanced oil recovery operations in unconventional reservoirs:A case study

Shuqin Wen ¹Bing Wei ¹Junyu You ²Yujiao He ¹Qihang Ye ¹Jun Lu³

作者信息

1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu,610500,China
2. School of Petroleum and Natural Gas Engineering,Chongqing University of Science and Technology,Chongqing,401331,China
3. McDougall School of Petroleum Engineering,The University of Tulsa,Tulsa,74104,USA
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摘要

关键词

CO_(2)enhanced oil recovery/Interpretable machine learning/Feature interaction analysis/Unconventional oil reservoir

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能源科技

引用本文复制引用

Shuqin Wen,Bing Wei,Junyu You,Yujiao He,Qihang Ye,Jun Lu..Rapid screening and optimization of CO_(2) enhanced oil recovery operations in unconventional reservoirs:A case study[J].Petroleum,2025,11(2):P.188-200,13.

基金项目

support of National Key Research and Development Program of China(2023YFE0120700) （2023YFE0120700）

National Natural Science Foundation of China(52274041 and 52304023) （52274041 and 52304023）

Distinguished Young Sichuan Science Scholars(2023NSFSC1954) （2023NSFSC1954）

Natural Science Foundation of Chongqing(CSTB2022NSCQ-MSX0403) （CSTB2022NSCQ-MSX0403）

Chongqing Municipal Support Program for Overseas Students Returning for Entrepreneurship and Innovation(2205012980950154). （2205012980950154）

Petroleum

ISSN：2405-6561

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