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Physics-constrained deep learning for solving seepage equation

  • Published:2021-11 Issue: Volume:206 Page:109046
  • ISSN:0920-4105
  • Container-title:Journal of Petroleum Science and Engineering
  • language:en
  • Short-container-title:Journal of Petroleum Science and Engineering

Author:

Daolun Li,Luhang Shen,Wenshu Zha,Xuliang Liu,Jieqing Tan

Funder

National Major Science and Technology Projects of China

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference44 articles.

1. Performance of a flux splitting scheme when solving the single-phase pressure equation discretized by MPFA;Aadland;Computational Geoences,2004

2. An evolutionary artificial neural networks approach for breast cancer diagnosis;Abbass;Artif. Intell. Med.,2002

3. Sparse grids;Bungartz;Acta Numer.,2004

4. Option pricing with a direct adaptive sparse grid approach;Bungartz;J. Comput. Appl. Math.,2012

5. PhyGeoNet: physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain;Gao;J. Comput. Phys.,2021

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