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Prediction of adsorption characteristics of CH4-CO2 system in shale based on machine learning
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SHUYANG LIU1, 2, HONGLUE HUANG1, JIANGLONG WANG1, JUNRONG LIU1, SIWEI MENG3, 4
Petroleum Reservoir Evaluation and Development | 2026, 16(4) : 855 - 864
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Petroleum Reservoir Evaluation and Development | 2026, 16(4): 855-864
• Oil and Gas Development •
Prediction of adsorption characteristics of CH4-CO2 system in shale based on machine learning
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SHUYANG LIU1, 2, HONGLUE HUANG1, JIANGLONG WANG1, JUNRONG LIU1, SIWEI MENG3, 4
Affiliations
  • 1 School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, Shandong 266580, China
  • 2 State Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, Shandong 266580, China
  • 3 Research Institute of Petroleum Exploration and Development, Beijing 100083, China
  • 4 State Key Laboratory of Continental Shale Oil, Daqing, Heilongjiang 163412, China
Published: 2026-07-26 doi: 10.13809/j.cnki.cn32-1825/te.20250080
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shale  /  CH4-CO2  /  adsorption  /  Langmuir model  /  machine learning
刘树阳, 黄洪略, 王江龙, 刘峻嵘, 孟思炜. 基于机器学习的页岩内CH4-CO2体系吸附特性预测. 油气藏评价与开发, 2026 , 16 (4) : 855 -864 . DOI: 10.13809/j.cnki.cn32-1825/te.20250080
SHUYANG LIU, HONGLUE HUANG, JIANGLONG WANG, JUNRONG LIU, SIWEI MENG. Prediction of adsorption characteristics of CH4-CO2 system in shale based on machine learning[J]. Petroleum Reservoir Evaluation and Development, 2026 , 16 (4) : 855 -864 . DOI: 10.13809/j.cnki.cn32-1825/te.20250080
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Year 2026 volume 16 Issue 4
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Article Info
doi: 10.13809/j.cnki.cn32-1825/te.20250080
  • Receive Date：2025-12-11
  • Online Date：2026-10-30
  • Published：2026-07-26
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History
  • Received：2025-12-11
Affiliations
    1 School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, Shandong 266580, China
    2 State Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, Shandong 266580, China
    3 Research Institute of Petroleum Exploration and Development, Beijing 100083, China
    4 State Key Laboratory of Continental Shale Oil, Daqing, Heilongjiang 163412, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
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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