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Artificial intelligence in petroleum and natural gas prospect evaluation and prediction

Qiao-Chu Wang Dong-Xia Chen Sha Li Yu-He Chen Xiang Chen Mao-Sen Wang Zai-Quan Yang Fu-Wei Wang

石油科学（英文版）2026，Vol.23Issue(6)：3110-3135,26.

石油科学（英文版）2026，Vol.23Issue(6)：3110-3135,26.DOI:10.1016/j.petsci.2026.04.020

Artificial intelligence in petroleum and natural gas prospect evaluation and prediction

Qiao-Chu Wang ¹Dong-Xia Chen ¹Sha Li ¹Yu-He Chen ¹Xiang Chen ¹Mao-Sen Wang ¹Zai-Quan Yang ¹Fu-Wei Wang¹

作者信息

1. State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum(Beijing),Beijing,102249,China
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摘要

关键词

Artificial intelligence/Machine learning/Deep learning/Petroleum prospect/Geological facies/Petroleum exploration and exploitation

Key words

Artificial intelligence/Machine learning/Deep learning/Petroleum prospect/Geological facies/Petroleum exploration and exploitation

引用本文复制引用

Qiao-Chu Wang,Dong-Xia Chen,Sha Li,Yu-He Chen,Xiang Chen,Mao-Sen Wang,Zai-Quan Yang,Fu-Wei Wang..Artificial intelligence in petroleum and natural gas prospect evaluation and prediction[J].石油科学（英文版）,2026,23(6):3110-3135,26.

基金项目

This study was supported by the National Natural Science Foundation of China(Grant No.42302141).We gratefully acknowledge the Shengli Oilfield Branch of the China Petroleum &Chemical Corporation for providing field test data and reservoir data. （Grant No.42302141）

石油科学（英文版）

ISSN：1672-5107

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