most citedPhysics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 6 cited

Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls

Jungang Chen, Eduardo Gildin, John E. Killough

This paper presents a novel surrogate model for modeling subsurface fluid flow with well controls using a physics-informed convolutional recurrent neural network (PICRNN). The mode…