Multiphase flow prediction with deep neural networks

21 Oct 2019Gege WenMeng TangSally M. Benson

This paper proposes a deep neural network approach for predicting multiphase flow in heterogeneous domains with high computational efficiency. The deep neural network model is able to handle permeability heterogeneity in high dimensional systems, and can learn the interplay of viscous, gravity, and capillary forces from small data sets... (read more)

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