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Deep Learning Approach of Drilling Decision for Subhorizontal Drain Geosteering Based on APC-LSTM Model
Dandan Zhu, Xinping Dai, Yi Liu, Fei Wang, Xiaoting Luo, Dong Chen and Zhihui Ye SPE Drilling & Completion 38(01) 1 (2023) https://doi.org/10.2118/210605-PA
Probabilistic forecasting of cumulative production of reservoir fluid with uncertain properties
Lívia Paiva Fulchignoni, Christiano Garcia da Silva Santim and Daniel M. Tartakovsky Geoenergy Science and Engineering 227 211819 (2023) https://doi.org/10.1016/j.geoen.2023.211819
A Physics-Informed Neural Networks (PINN) oriented approach to flow metering in oil wells: an ESP lifted oil well system as a case study
Cyber-Physical Systems: Design and Application for Industry 4.0
Artur Sagdatullin and Gennady Degtyarev Studies in Systems, Decision and Control, Cyber-Physical Systems: Design and Application for Industry 4.0 342 145 (2021) https://doi.org/10.1007/978-3-030-66081-9_11
Improving tail accuracy of the predicted cumulative distribution function of time of failure
Optimized Random Vector Functional Link network to predict oil production from Tahe oil field in China
Ahmed Alalimi, Lin Pan, Mohammed A.A. Al-qaness, et al. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 76 3 (2021) https://doi.org/10.2516/ogst/2020081
Short-Term Production Optimization Under Water-Cut Uncertainty