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An oil production prediction method for micro-nano water-gas dispersion system flooding based on ANN algorithm
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GUOQING FENG1, HAILING CHANG1, KEYU WANG2, LIN WU2, JIAZHONG WU3, SHITOU WANG4
Petroleum Reservoir Evaluation and Development | 2026, 16(2) : 414 - 422
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Petroleum Reservoir Evaluation and Development | 2026, 16(2): 414-422
• Oil and Gas Development •
An oil production prediction method for micro-nano water-gas dispersion system flooding based on ANN algorithm
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GUOQING FENG1, HAILING CHANG1, KEYU WANG2, LIN WU2, JIAZHONG WU3, SHITOU WANG4
Affiliations
  • 1 Petroleum Engineering School, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • 2 Shaanxi Key Laboratory of Carbon Dioxide Sequestration and Enhanced Oil Recovery, Xi’an, Shaanxi 710065, China
  • 3 PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China
  • 4 Oil and Gas Technology Research Institute, PetroChina Changqing Oilfield Company, Xi’an, Shaanxi 710018, China
Published: 2026-03-26 doi: 10.13809/j.cnki.cn32-1825/te.2024601
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micro-nano water-gas dispersion system flooding  /  machine learning  /  K-means clustering analysis  /  artificial neural network  /  Levenberg-Marquardt algorithm
冯国庆, 常海铃, 王苛宇, 吴琳, 伍家忠, 王石头. 基于ANN算法的微纳米水气分散体系驱产油量预测方法. 油气藏评价与开发, 2026 , 16 (2) : 414 -422 . DOI: 10.13809/j.cnki.cn32-1825/te.2024601
GUOQING FENG, HAILING CHANG, KEYU WANG, LIN WU, JIAZHONG WU, SHITOU WANG. An oil production prediction method for micro-nano water-gas dispersion system flooding based on ANN algorithm[J]. Petroleum Reservoir Evaluation and Development, 2026 , 16 (2) : 414 -422 . DOI: 10.13809/j.cnki.cn32-1825/te.2024601
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Year 2026 volume 16 Issue 2
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doi: 10.13809/j.cnki.cn32-1825/te.2024601
  • Receive Date：2025-04-21
  • Online Date：2026-10-30
  • Published：2026-03-26
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  • Received：2025-04-21
Affiliations
    1 Petroleum Engineering School, Southwest Petroleum University, Chengdu, Sichuan 610500, China
    2 Shaanxi Key Laboratory of Carbon Dioxide Sequestration and Enhanced Oil Recovery, Xi’an, Shaanxi 710065, China
    3 PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China
    4 Oil and Gas Technology Research Institute, PetroChina Changqing Oilfield Company, Xi’an, Shaanxi 710018, 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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