Hydraulic Fracture Design with a Proxy Model for Unconventional Shale Gas Reservoir with Considering Feasibility Study
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- Jaejun Kim & Joe M. Kang & Changhyup Park & Yongjun Park & Jihye Park & Seojin Lim, 2017. "Multi-Objective History Matching with a Proxy Model for the Characterization of Production Performances at the Shale Gas Reservoir," Energies, MDPI, vol. 10(4), pages 1-16, April.
- Chao Tang & Xiaofan Chen & Zhimin Du & Ping Yue & Jiabao Wei, 2018. "Numerical Simulation Study on Seepage Theory of a Multi-Section Fractured Horizontal Well in Shale Gas Reservoirs Based on Multi-Scale Flow Mechanisms," Energies, MDPI, vol. 11(9), pages 1-20, September.
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- Dongkwon Han & Sunil Kwon, 2021. "Application of Machine Learning Method of Data-Driven Deep Learning Model to Predict Well Production Rate in the Shale Gas Reservoirs," Energies, MDPI, vol. 14(12), pages 1-24, June.
- Xiaogui Zhou & Haiming Liu & Yintong Guo & Lei Wang & Zhenkun Hou & Peng Deng, 2019. "An Evaluation Method of Brittleness Characteristics of Shale Based on the Unloading Experiment," Energies, MDPI, vol. 12(9), pages 1-24, May.
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Keywords
hydraulic fracture design; unconventional shale gas; proxy model; production optimization;All these keywords.
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