A variational U-Net surrogate is trained to approximate reservoir flow simulations, allowing rapid Monte Carlo-style uncertainty quantification under varying well controls with reported speed gains over conventional methods.
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Fast uncertainty quantification of reservoir simulation with variational U-Net
A variational U-Net surrogate is trained to approximate reservoir flow simulations, allowing rapid Monte Carlo-style uncertainty quantification under varying well controls with reported speed gains over conventional methods.