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Artificial intelligence in shale gas and oil:A comprehensive review of applications and challenges

Hang Yang Wei Feng Hongli Diao Yong He Shibin Xia

Green and Smart Mining Engineering2025，Vol.2Issue(3)：P.259-277,19.

Green and Smart Mining Engineering2025，Vol.2Issue(3)：P.259-277,19.DOI:10.1016/j.gsme.2025.09.003

Artificial intelligence in shale gas and oil:A comprehensive review of applications and challenges

Hang Yang ¹Wei Feng ²Hongli Diao ¹Yong He ³Shibin Xia¹

作者信息

1. Hubei Key Laboratory of Mineral Resources Processing and Environment,Wuhan University of Technology,Wuhan 430070,China
2. Hubei Haomiao Environmental Technology Co.,Ltd.,Shiyan 442010,China
3. Sinopec Jianghan Oilfield Branch,Chongqing 400000,China
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摘要

关键词

Artificial intelligence/Shale gas/Shale oil/Machine learning/Deep learning/Reservoir optimization/Predictive forecasting

分类

能源科技

引用本文复制引用

Hang Yang,Wei Feng,Hongli Diao,Yong He,Shibin Xia..Artificial intelligence in shale gas and oil:A comprehensive review of applications and challenges[J].Green and Smart Mining Engineering,2025,2(3):P.259-277,19.

基金项目

supported by the Fuling Shale Gas Environmental Exploration Technology of National Science and Technology Special Project(No.2016ZX05060) （No.2016ZX05060）

the following projects:the“Efficient and Low-Carbon Green Resource Utilization Technology Development of Typical Mine Tailings in the Danjiangkou Water Source Area”(No.20231h0168) （No.20231h0168）

the“Key Technology Development for Low-Carbon and High-Value Resource Utilization of Oil-containing Urban Mining in the Danjiangkou Water Source Area”(No.2024BEB027) （No.2024BEB027）

Green and Smart Mining Engineering

ISSN：2950-5550

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