Predicting porosity, permeability, and tortuosity of porous media from images by deep learning

Abstract Convolutional neural networks (CNN) are utilized to encode the relation between initial configurations of obstacles and three fundamental quantities in porous media: porosity ( $$\varphi$$ φ ), permeability (k), and tortuosity (T). The two-dimensional systems with obstacles are considered....

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Autores principales: Krzysztof M. Graczyk, Maciej Matyka
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/44c73faaec22405489053f3f380e5ee8
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