Integration analysis of 3D fractures network reconstruction and frac hits response in shale wells
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DOI: 10.1016/j.energy.2022.124906
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- He, Jianming & Li, Xiao & Yin, Chao & Zhang, Yixiang & Lin, Chong, 2020. "Propagation and characterization of the micro cracks induced by hydraulic fracturing in shale," Energy, Elsevier, vol. 191(C).
- Zheng, Peng & Xia, Yucheng & Yao, Tingwei & Jiang, Xu & Xiao, Peiyao & He, Zexuan & Zhou, Desheng, 2022. "Formation mechanisms of hydraulic fracture network based on fracture interaction," Energy, Elsevier, vol. 243(C).
- Tian, Zhenhua & Wei, Wei & Zhou, Shangwen & Sun, Chenhao & Rezaee, Reza & Cai, Jianchao, 2022. "Impacts of gas properties and transport mechanisms on the permeability of shale at pore and core scale," Energy, Elsevier, vol. 244(PA).
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- Hou, Lei & Elsworth, Derek & Zhang, Fengshou & Wang, Zhiyuan & Zhang, Jianbo, 2023. "Evaluation of proppant injection based on a data-driven approach integrating numerical and ensemble learning models," Energy, Elsevier, vol. 264(C).
- Chen, Guodong & Luo, Xin & Jiao, Jiu Jimmy & Jiang, Chuanyin, 2023. "Fracture network characterization with deep generative model based stochastic inversion," Energy, Elsevier, vol. 273(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).
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