Upscaling permeability anisotropy in digital sandstones using convolutional neural networks

Arman Najafi; Javad Siavashi; Mohammad Ebadi; Mohammad Sharifi; Jalal Fahimpour; Dmitry Koroteev

doi:10.1016/j.jngse.2021.104263

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Upscaling permeability anisotropy in digital sandstones using convolutional neural networks

Arman Najafi Javad Siavashi Mohammad Ebadi Mohammad Sharifi Jalal Fahimpour Dmitry Koroteev

Year: 2021 Journal: Journal of Natural Gas Science and Engineering Vol: 96 Pages: 104263-104263 Publisher: Elsevier BV

DOI: 10.1016/j.jngse.2021.104263

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Keywords:

Anisotropy Petrophysics Convolutional neural network Permeability (electromagnetism) Porosity Discretization Geology Algorithm Artificial intelligence Computer science Geotechnical engineering Mathematics Optics Physics Mathematical analysis Chemistry

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Enhanced Oil Recovery Techniques

Physical Sciences → Engineering → Ocean Engineering

Advanced Mathematical Modeling in Engineering

Physical Sciences → Computer Science → Computational Theory and Mathematics

Hydrocarbon exploration and reservoir analysis

Physical Sciences → Engineering → Mechanics of Materials

Upscaling permeability anisotropy in digital sandstones using convolutional neural networks

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