Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling
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We develop a proxy model based on deep learning methods to accelerate the simulations of oil reservoirs-by three orders of magnitude-compared to industry-strength physics-based PDE solvers. This paper describes a new architectural approach to this task modelin... ...
