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Risk evaluation and prediction of inter-well interference in shale gas wells based on machine learning
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JIAZHENG QIN1, ZHIYUE HE1, YONG TANG1, SHENGCAI DUAN2, JICHANG LONG2, KAI TANG3, HAO WANG4, SHILAI HU5, KEJI LONG6
Petroleum Reservoir Evaluation and Development | 2026, 16(3) : 657 - 665
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Petroleum Reservoir Evaluation and Development | 2026, 16(3): 657-665
• Oil and Gas Development •
Risk evaluation and prediction of inter-well interference in shale gas wells based on machine learning
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JIAZHENG QIN1, ZHIYUE HE1, YONG TANG1, SHENGCAI DUAN2, JICHANG LONG2, KAI TANG3, HAO WANG4, SHILAI HU5, KEJI LONG6
Affiliations
  • 1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • 2 Hade Oil and Gas Production Management Area, PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China
  • 3 Yingmai Oil and Gas Production Management Area, PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China
  • 4 Oil and Gas Technology Research Institute, PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China
  • 5 School of Petroleum Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
  • 6 Chengdu Exploration and Development Research Institute, PetroChina Daqing Oilfield Company Ltd., Chengdu, Sichuan 610051, China
Published: 2026-05-26 doi: 10.13809/j.cnki.cn32-1825/te.2025341
Outline
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shale gas  /  inter-well interference  /  risk evaluation and prediction  /  machine learning  /  K-Means clustering algorithm  /  KNN classification algorithm
秦佳正, 贺质越, 汤勇, 段胜才, 龙吉昌, 唐凯, 王浩, 胡世莱, 龙科吉. 基于机器学习的页岩气井间干扰风险评价及预测. 油气藏评价与开发, 2026 , 16 (3) : 657 -665 . DOI: 10.13809/j.cnki.cn32-1825/te.2025341
JIAZHENG QIN, ZHIYUE HE, YONG TANG, SHENGCAI DUAN, JICHANG LONG, KAI TANG, HAO WANG, SHILAI HU, KEJI LONG. Risk evaluation and prediction of inter-well interference in shale gas wells based on machine learning[J]. Petroleum Reservoir Evaluation and Development, 2026 , 16 (3) : 657 -665 . DOI: 10.13809/j.cnki.cn32-1825/te.2025341
Appendix
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Year 2026 volume 16 Issue 3
17
6
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Article Info
doi: 10.13809/j.cnki.cn32-1825/te.2025341
  • Receive Date：2025-09-16
  • Online Date：2026-10-30
  • Published：2026-05-26
Article Data
Affiliations
History
  • Received：2025-09-16
Affiliations
    1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China
    2 Hade Oil and Gas Production Management Area, PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China
    3 Yingmai Oil and Gas Production Management Area, PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China
    4 Oil and Gas Technology Research Institute, PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China
    5 School of Petroleum Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
    6 Chengdu Exploration and Development Research Institute, PetroChina Daqing Oilfield Company Ltd., Chengdu, Sichuan 610051, 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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