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    • A machine learning-based method for recovery rate prediction in fractured water-driven gas reservoirs

    • “In the field of gas reservoir development, experts have constructed a prediction model for the recovery rate of fractured water drive gas reservoirs, providing scientific basis for improving the recovery rate.”
    • Vol. 15, Issue 5, Pages: 834-843(2025)   

      Received：01 August 2024，

      Published：26 October 2025

    • DOI： 10.13809/j.cnki.cn32-1825/te.2025.05.013     

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  • SUN Qiufen, QIN Jiazheng, FENG Qiao, et al. A machine learning-based method for recovery rate prediction in fractured water-driven gas reservoirs[J]. Petroleum Reservoir Evaluation and Development, 2025, 15(5): 834-843. DOI： 10.13809/j.cnki.cn32-1825/te.2025.05.013.
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XIE TIANCHENG 中国矿业大学（北京）地球科学与测绘工程学院
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