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A coalbed methane content prediction method based on an improved Stacking ensemble model
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JIE LIU1, CONG XIAO1, SHICHENG ZHANG1, JIAYUAN HE2
Petroleum Reservoir Evaluation and Development | 2026, 16(5) : 983 - 991
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Petroleum Reservoir Evaluation and Development | 2026, 16(5): 983-991
• Oil and Gas Exploration •
A coalbed methane content prediction method based on an improved Stacking ensemble model
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JIE LIU1, CONG XIAO1, SHICHENG ZHANG1, JIAYUAN HE2
Affiliations
  • 1 College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China
  • 2 Sinopec Petroleum Exploration and Production Research Institute, Beijing 102206, China
Published: 2026-09-26 doi: 10.13809/j.cnki.cn32-1825/te.2025291
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coalbed methane (CBM)  /  gas content  /  machine learning  /  Stacking ensemble model  /  interpretability analysis
刘杰, 肖聪, 张士诚, 贺甲元. 基于改进Stacking融合模型的煤层气含气量预测方法. 油气藏评价与开发, 2026 , 16 (5) : 983 -991 . DOI: 10.13809/j.cnki.cn32-1825/te.2025291
JIE LIU, CONG XIAO, SHICHENG ZHANG, JIAYUAN HE. A coalbed methane content prediction method based on an improved Stacking ensemble model[J]. Petroleum Reservoir Evaluation and Development, 2026 , 16 (5) : 983 -991 . DOI: 10.13809/j.cnki.cn32-1825/te.2025291
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Year 2026 volume 16 Issue 5
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doi: 10.13809/j.cnki.cn32-1825/te.2025291
  • Receive Date：2025-10-17
  • Online Date：2026-10-30
  • Published：2026-09-26
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  • Received：2025-10-17
Affiliations
    1 College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China
    2 Sinopec Petroleum Exploration and Production Research Institute, Beijing 102206, 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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