Numerical validation of an adaptive model for the determination of nonlinear-flow regions in highly heterogeneous porous media

Fuente: arXiv
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Main Authors: Fumagalli, Alessio, Patacchini, Francesco S.
Format: Preprint
Published: 2024
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author Fumagalli, Alessio
Patacchini, Francesco S.
author_facet Fumagalli, Alessio
Patacchini, Francesco S.
contents An adaptive model for the description of flows in highly heterogeneous porous media is developed in~\cite{FP21,FP23}. There, depending on the magnitude of the fluid's velocity, the constitutive law linking velocity and pressure gradient is selected between two possible options, one better adapted to slow motion and the other to fast motion. We propose here to validate further this adaptive approach by means of more extensive numerical experiments, including a three-dimensional case, as well as to use such approach to determine a partition of the domain into slow- and fast-flow regions.
format Preprint
id arxiv_https___arxiv_org_abs_2405_02094
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Numerical validation of an adaptive model for the determination of nonlinear-flow regions in highly heterogeneous porous media
Fumagalli, Alessio
Patacchini, Francesco S.
Numerical Analysis
An adaptive model for the description of flows in highly heterogeneous porous media is developed in~\cite{FP21,FP23}. There, depending on the magnitude of the fluid's velocity, the constitutive law linking velocity and pressure gradient is selected between two possible options, one better adapted to slow motion and the other to fast motion. We propose here to validate further this adaptive approach by means of more extensive numerical experiments, including a three-dimensional case, as well as to use such approach to determine a partition of the domain into slow- and fast-flow regions.
title Numerical validation of an adaptive model for the determination of nonlinear-flow regions in highly heterogeneous porous media
topic Numerical Analysis
url https://arxiv.org/abs/2405.02094