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Research progress on machine learning in CO2 enhanced oil and gas recovery and geological storage
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HONGYING YE1, CHENG CAO1, 2, 3, YULONG ZHAO1, LIEHUI ZHANG1, HAONAN ZHU1, SHAOMU WEN4, QINGPING LI2, DEPING ZHANG5, SONG ZHAO6, ZHENGLIN CAO7
Petroleum Reservoir Evaluation and Development | 2026, 16(1) : 84 - 95
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Petroleum Reservoir Evaluation and Development | 2026, 16(1): 84-95
• Methodological Theory •
Research progress on machine learning in CO2 enhanced oil and gas recovery and geological storage
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HONGYING YE1, CHENG CAO1, 2, 3, YULONG ZHAO1, LIEHUI ZHANG1, HAONAN ZHU1, SHAOMU WEN4, QINGPING LI2, DEPING ZHANG5, SONG ZHAO6, ZHENGLIN CAO7
Affiliations
  • 1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • 2 Huairou Laboratory, Beijing 101400, China
  • 3 Chongqing University Industrial Technology Research Institute, Chongqing 401331, China
  • 4 PetroChina Southwest Oil & Gasfield Company, Chengdu, Sichuan 610055, China
  • 5 CCS-EOR Company, PetroChina Jilin Oilfield Company, Songyuan, Jilin 138000, China
  • 6 PetroChina Changqing Oilfield Company, Xi’an, Shaanxi 710018, China
  • 7 Research Institute of Petroleum Exploration and Development, Beijing 101400, China
Published: 2026-01-26 doi: 10.13809/j.cnki.cn32-1825/te.2025268
Outline
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machine learning  /  intelligent algorithm  /  CCUS (carbon capture, utilization and storage)  /  enhanced oil and gas recovery  /  geological storage
叶虹莹, 曹成, 赵玉龙, 张烈辉, 朱浩楠, 文绍牧, 李清平, 张德平, 赵松, 曹正林. 机器学习在CO2提高油气采收率与地质封存中的研究进展. 油气藏评价与开发, 2026 , 16 (1) : 84 -95 . DOI: 10.13809/j.cnki.cn32-1825/te.2025268
HONGYING YE, CHENG CAO, YULONG ZHAO, LIEHUI ZHANG, HAONAN ZHU, SHAOMU WEN, QINGPING LI, DEPING ZHANG, SONG ZHAO, ZHENGLIN CAO. Research progress on machine learning in CO2 enhanced oil and gas recovery and geological storage[J]. Petroleum Reservoir Evaluation and Development, 2026 , 16 (1) : 84 -95 . DOI: 10.13809/j.cnki.cn32-1825/te.2025268
Appendix
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Year 2026 volume 16 Issue 1
15
6
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Article Info
doi: 10.13809/j.cnki.cn32-1825/te.2025268
  • Receive Date：2025-06-09
  • Online Date：2026-10-30
  • Published：2026-01-26
Article Data
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History
  • Received：2025-06-09
Affiliations
    1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China
    2 Huairou Laboratory, Beijing 101400, China
    3 Chongqing University Industrial Technology Research Institute, Chongqing 401331, China
    4 PetroChina Southwest Oil & Gasfield Company, Chengdu, Sichuan 610055, China
    5 CCS-EOR Company, PetroChina Jilin Oilfield Company, Songyuan, Jilin 138000, China
    6 PetroChina Changqing Oilfield Company, Xi’an, Shaanxi 710018, China
    7 Research Institute of Petroleum Exploration and Development, Beijing 101400, China
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表12种不同金属材料的力学参数
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Family		 属数
Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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