Corpus ID: 210698962

Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem

@article{Fraces2020PhysicsID,
  title={Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem},
  author={Cedric G. Fraces and Adrien Papaioannou and H. Tchelepi},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.05172}
}
We present a new hybrid physics-based machine-learning approach to reservoir modeling. The methodology relies on a series of deep adversarial neural network architecture with physics-based regularization. The network is used to simulate the dynamic behavior of physical quantities (i.e. saturation) subject to a set of governing laws (e.g. mass conservation) and corresponding boundary and initial conditions. A residual equation is formed from the governing partial-differential equation and used… Expand
2 Citations

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