A Sparsified Multiscale Preconditioner for Fractured Porous Media

Summary In this work, we propose an algorithm to reduce the sparsity of the coarse-scale operator of multiscale methods for fractured porous media, enabling faster and efficient computations. Our approach draws on stencil collapsing techniques used in multigrid methods. A similar strategy was applied to address the lack of monotonicity in multiscale methods. In this work, we mainly focus on applying the sparsified multiscale operator as a preconditioner to a GMRES solver. Consequently, we evaluate its impact on overall convergence performance, as well as the time required to construct and solve the multiscale coarse-scale system.

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Published
2025-01-01
DOI
https://doi.org/10.3997/2214-4609.2025638028
Primary Topic
NMR spectroscopy and applications
Type
article
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article

A Sparsified Multiscale Preconditioner for Fractured Porous Media

Mohammed Al Kobaisi, Omar Chaabi
NMR spectroscopy and applications
article

A Sparsified Multiscale Preconditioner for Fractured Porous Media

Mohammed Al Kobaisi, Omar Chaabi
article en

Abstract

Summary In this work, we propose an algorithm to reduce the sparsity of the coarse-scale operator of multiscale methods for fractured porous media, enabling faster and efficient computations. Our approach draws on stencil collapsing techniques used in multigrid methods. A similar strategy was applied to address the lack of monotonicity in multiscale methods. In this work, we mainly focus on applying the sparsified multiscale operator as a preconditioner to a GMRES solver. Consequently, we evaluate its impact on overall convergence performance, as well as the time required to construct and solve the multiscale coarse-scale system.

Khalifa University of Science and Technology (AE)
Openalex Percentile: Top 95%
NMR spectroscopy and applications
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