Recurrent convolutional neural network for the surrogate modeling of subsurface flow simulation

8 Oct 2020 Hyung Jun Yang Timothy Yeo Jaewoo An

The quantification of uncertainty on fluid flow in porous media is often hampered by multi-scale heterogeneity and insufficient site characterization. Monte-Carlo simulation (MCS), which runs numerical simulations for a large number of realization of input parameters , becomes infeasible when simulation cost is expensive or the degree of uncertainty is large... (read more)

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