Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network

DOI10.1007/s10596-023-10233-2zbMath1528.86002arXiv2201.00698OpenAlexW4385496153MaRDI QIDQ6181707

Nanzhe Wang, Qinzhuo Liao, Dongxiao Zhang, Haibin Chang

Publication date: 23 January 2024

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2201.00698

zbMATH Keywords

upscalingdeep learningsubsurface flowtheory-guided convolutional neural network

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Hydrology, hydrography, oceanography (86A05) Computational methods for problems pertaining to geophysics (86-08) Flows on surfaces (37E35)

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• An Introduction to Reservoir Simulation Using MATLAB/GNU Octave

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