Application and effects of physics-based and non-physics-based regularizations in artificial intelligence-based surrogate modelling for highly compressible subsurface flow-Reference-Cited by-同舟云学术

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Application and effects of physics-based and non-physics-based regularizations in artificial intelligence-based surrogate modelling for highly compressible subsurface flow

Published:2024-02 Issue: Volume:233 Page:212474
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Molokwu Victor C.^ORCID,Molokwu Bonaventure C.^ORCID,Jamiolahmady Mahmoud

Funder

Petroleum Technology Development Fund

Publisher

Elsevier BV

Reference66 articles.

1. Petroleum Reservoir Simulation: A Basic Approach, Vol. 1;Abou-kassem,2006

2. Application of machine learning and artificial intelligence in proxy modeling for fluid flow in porous media;Amini;Fluids,2019

3. Petroleum Reservoir Simulation;Aziz,1979

4. Fully-convolutional siamese networks for object tracking;Bertinetto,2016

5. Use of reduced-order modeling procedures for production optimization;Cardoso;SPE J.,2010

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