Reduced order modeling of subsurface multiphase flow models using deep residual recurrent neural networks

24 Oct 2018 Kani J. Nagoor Elsheikh Ahmed H.

We present a reduced order modeling (ROM) technique for subsurface multi-phase flow problems building on the recently introduced deep residual recurrent neural network (DR-RNN) [1]. DR-RNN is a physics aware recurrent neural network for modeling the evolution of dynamical systems... (read more)

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