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Transfer Learning for Scalable Optimization of Unconventional Field Operations
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inferred← citeshttps://doi.org/10.2139/ssrn.4192368openalex-extracted
Reusable Policy for History Matching Using Surrogate-Assisted Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-27986-7_11openalex-snapshot
Dynamic Data-Driven Application Systems for Reservoir Simulation-Based Optimization: Lessons Learned and Future Trends
inferred← citeshttps://doi.org/10.1007/978-981-19-2149-0_392openalex-snapshot
Application of NARX Neural Networks in the Prediction of Hydraulic Fracturing Treating Pressure
inferred← citeshttps://doi.org/10.1016/j.petrol.2021.109178openalex-snapshot
Evaluation of transfer learning in data-driven methods in the assessment of unconventional resources
inferred← citeshttps://doi.org/10.2118/201710-msopenalex-snapshot
Automated Lease Operating Statements for Cost Optimization and Reserve Evaluation Using Artificial Intelligence
inferred← citeshttps://doi.org/10.2118/203952-paopenalex-snapshot
GeoDIN - Geoscience-Based Deep Interaction Networks for Predicting Flow Dynamics in Reservoir Simulation Models
inferred← citeshttps://doi.org/10.2118/205520-paopenalex-snapshot
Incorporation of Physics into Machine Learning for Production Prediction from Unconventional Reservoirs: A Brief Review of the Gray-Box Approach
inferred← citeshttps://doi.org/10.2118/214312-paopenalex-snapshot
Transfer Learning with Prior Data-Driven Models from Multiple Unconventional Fields
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