msayyafuofa / cnnbasedlocalupscaling

A convolutional neural network architacture for permeability upscaling

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cnnbasedlocalupscaling

A convolutional neural network architacture for permeability upscaling

I designed and coded this network for a research paper.

The code is written in Python and requires the following packages: tensorflow, scipy, numpy and matplotlib.

The code is a single file.

In addition to the code, an example, created based on Strebelle’s 250×250 fluvial channel training image is included, is included. For further information, please see the following paper.

@article{eage:/content/papers/10.3997/2214-4609.202244018, author = "Sayyafzadeh, M. and Guérillot, D.", title = "Rapid Permeability Upscaling using Convolutional Neural Networks", journal= "", year = "2022", volume = "2022", number = "1", pages = "1-12", doi = "https://doi.org/10.3997/2214-4609.202244018", url = "https://www.earthdoc.org/content/papers/10.3997/2214-4609.202244018", publisher = "European Association of Geoscientists & Engineers", issn = "2214-4609", type = "", }

Please cite the above paper if you use this code for your work.

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A convolutional neural network architacture for permeability upscaling

License:GNU General Public License v3.0


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