An integrated framework based on deep learning algorithm for optimizing thermochemical production in heavy oil reservoirs
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DOI: 10.1016/j.energy.2022.124140
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Cited by:
- Zhang, Jun, 2023. "Performance of high temperature steam injection in horizontal wells of heavy oil reservoirs," Energy, Elsevier, vol. 282(C).
- Du, Shuyi & Wang, Jiulong & Wang, Meizhu & Yang, Jiaosheng & Zhang, Cong & Zhao, Yang & Song, Hongqing, 2023. "A systematic data-driven approach for production forecasting of coalbed methane incorporating deep learning and ensemble learning adapted to complex production patterns," Energy, Elsevier, vol. 263(PE).
- Fathy, Mohammad & Kazemzadeh Haghighi, Foojan & Ahmadi, Mohammad, 2024. "Uncertainty quantification of reservoir performance using machine learning algorithms and structured expert judgment," Energy, Elsevier, vol. 288(C).
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Keywords
Edge-water heavy oil reservoirs; Deep reinforcement learning model; Numerical simulation; Optimal working system; Enhanced oil recovery; Economic analysis;All these keywords.
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