An adaptive space-time method for nonlinear poroviscoelastic flows with discontinuous porosities

Abstract This paper is concerned with a space-time adaptive numerical method for instationary porous media flows with nonlinear interaction between porosity and pressure, with focus on problems with discontinuous initial porosities. A convergent method that yields computable error bounds is constructed by a combination of Picard iteration and a least-squares formulation. The adaptive scheme permits spatially variable time steps, which in numerical tests are shown to lead to efficient approximations of solutions with localized porosity waves. The method is also observed to exhibit optimal convergence with respect to the total number of spatio-temporal degrees of freedom.

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Publication Details

Journal
Journal of Numerical Mathematics
Published
2025-08-22
DOI
https://doi.org/10.1515/jnma-2024-0150
Citations
1
Primary Topic
Drilling and Well Engineering
Type
article
Field-Weighted Citation Impact
1.15

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article

An adaptive space-time method for nonlinear poroviscoelastic flows with discontinuous porosities

Markus Bachmayr, Simon Boisserée
1 citations
Journal of Numerical Mathematics
Drilling and Well Engineering
1.15
article

An adaptive space-time method for nonlinear poroviscoelastic flows with discontinuous porosities

Markus Bachmayr, Simon Boisserée
article en
1 citations

Abstract

Abstract This paper is concerned with a space-time adaptive numerical method for instationary porous media flows with nonlinear interaction between porosity and pressure, with focus on problems with discontinuous initial porosities. A convergent method that yields computable error bounds is constructed by a combination of Picard iteration and a least-squares formulation. The adaptive scheme permits spatially variable time steps, which in numerical tests are shown to lead to efficient approximations of solutions with localized porosity waves. The method is also observed to exhibit optimal convergence with respect to the total number of spatio-temporal degrees of freedom.

Journal of Numerical Mathematics
RWTH Aachen University (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 20%
Drilling and Well Engineering
1.15
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