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arXiv · 2302.14512

A DuMux Framework for Data-Driven Multi-Scale Parametrizations

Edward Coltman·Martin Schneider·Rainer Helmig
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Abstract

Presented in this work is a framework for the data-driven determination of multi-scale porous media parametrizations. Simulations of flow and transport in a porous medium at the REV scale, although efficient, require well defined parameters that represent pore-scale phenomena to maintain their accuracy. Determining the optimal parameters for this often require expensive pore-scale calculations. This work outlines a series of four steps where these parameters can be calculated from pore scale data, their solutions generalized with a convolutional neural network, and their content better understood with descriptive pore metrics.

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Edward Coltman, Martin Schneider, Rainer Helmig. 2023-02-28. A DuMux Framework for Data-Driven Multi-Scale Parametrizations. https://arxiv.org/abs/2302.14512

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