An advanced prediction model of shale oil production profile based on source-reservoir assemblages and artificial neural networks
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DOI: 10.1016/j.apenergy.2022.120604
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- Wenjun He & Yin Liu & Dongxue Wang & Dewen Lei & Guangdi Liu & Gang Gao & Liliang Huang & Yanping Qi, 2022. "Geochemical Characteristics and Process of Hydrocarbon Generation Evolution of the Lucaogou Formation Shale, Jimsar Depression, Junggar Basin," Energies, MDPI, vol. 15(7), pages 1-19, March.
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Cited by:
- Wei, Jianguang & Yang, Erlong & Li, Jiangtao & Liang, Shuang & Zhou, Xiaofeng, 2023. "Nuclear magnetic resonance study on the evolution of oil water distribution in multistage pore networks of shale oil reservoirs," Energy, Elsevier, vol. 282(C).
- Zhou, Wei & Li, Xiangchengzhen & Qi, ZhongLi & Zhao, HaiHang & Yi, Jun, 2024. "A shale gas production prediction model based on masked convolutional neural network," Applied Energy, Elsevier, vol. 353(PA).
- Wang, Fuwei & Chen, Dongxia & Li, Meijun & Chen, Zhangxin & Wang, Qiaochu & Jiang, Mengya & Rong, Lanxi & Wang, Yuqi & Li, Sha & Iltaf, Khawaja Hasnain & Wanma, Renzeng & Liu, Chen, 2024. "A novel method for predicting shallow hydrocarbon accumulation based on source-fault-sand (S-F-Sd) evaluation and ensemble neural network (ENN)," Applied Energy, Elsevier, vol. 359(C).
- Yi, Jun & Qi, ZhongLi & Li, XiangChengZhen & Liu, Hong & Zhou, Wei, 2024. "Spatial correlation-based machine learning framework for evaluating shale gas production potential: A case study in southern Sichuan Basin, China," Applied Energy, Elsevier, vol. 357(C).
- Cao, Yan & Jin, Zhijun & Zhu, Rukai & Liu, Kouqi & Bai, Jianing, 2024. "Comprehensive evaluation of the organic-rich saline lacustrine shale in the Lucaogou Formation, Jimusar sag, Junggar Basin, NW China," Energy, Elsevier, vol. 294(C).
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Keywords
Sweet spots; Production evaluation; Machine learning; Quantitative evaluation; Shale oil;All these keywords.
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