A robust optimization approach of well placement for doublet in heterogeneous geothermal reservoirs using random forest technique and genetic algorithm
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DOI: 10.1016/j.energy.2022.124427
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Cited by:
- Thomas Heinze & Nicola Pastore, 2023. "Velocity-dependent heat transfer controls temperature in fracture networks," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
- Qichao Xie & Peng Song & Likun Cao & Jian Shi & Weiguo Yang & Muhammad Adil Abdullah & Jiabang Song & Haiyang Yu, 2023. "Investigation of Key Controlling Factors and Applicability Boundaries of Natural Gas Injection for Shale Oil Development: A Case Study of Chang 7 Reservoir, Ordos Basin, China," Energies, MDPI, vol. 16(21), pages 1-34, October.
- Aryanfar, Yashar & Mohtaram, Soheil & García Alcaraz, Jorge Luis & Sun, HongGuang, 2023. "Energy and exergy assessment and a competitive study of a two-stage ORC for recovering SFGC waste heat and LNG cold energy," 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).
- Chen, Guodong & Jiao, Jiu Jimmy & Jiang, Chuanyin & Luo, Xin, 2024. "Surrogate-assisted level-based learning evolutionary search for geothermal heat extraction optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
- Yu, Ruyang & Zhang, Kai & Ramasubramanian, Brindha & Jiang, Shu & Ramakrishna, Seeram & Tang, Yuhang, 2024. "Ensemble learning for predicting average thermal extraction load of a hydrothermal geothermal field: A case study in Guanzhong Basin, China," Energy, Elsevier, vol. 296(C).
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Keywords
Geothermal doublet; Well placement; Optimization; Surrogate model; Random forest technique;All these keywords.
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