The aim of this work is to build a reduced order model for parametrized porous media equations. The main challenge of this type of problems is that the Kolmogorov width of the solution manifold typically decays quite slowly and thus makes usual linear model order reduction methods inappropriate. In this work, we investigate an adaptation of the methodology proposed in [Ehrlacher et al., Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces, ESAIM: Mathematical Modelling and Numerical Analysis (2020)], based on the use of Wasserstein barycenters [Agueh & Carlier, Barycenters in the Wasserstein Space, SIAM Journal on Mathematical Analysis (2011)], to the case of non-conservative problems. Numerical examples in one-dimensional test cases illustrate the advantages and limitations of this approach and suggest further research directions that we intend to explore in the future.

Wasserstein model reduction approach for parametrized flow problems in porous media / Battisti, Beatrice; Blickhan, Tobias; Enchery, Guillaume; Ehrlacher, Virginie; Lombardi, Damiano; Mula, Olga. - In: ESAIM. PROCEEDINGS AND SURVEYS. - ISSN 2267-3059. - ELETTRONICO. - 73:(2023), pp. 28-47. (Intervento presentato al convegno CEMRACS 2021 - Data Assimilation and Reduced Modeling for High Dimensional Problems) [10.1051/proc/202373028].

Wasserstein model reduction approach for parametrized flow problems in porous media

Beatrice Battisti;
2023

Abstract

The aim of this work is to build a reduced order model for parametrized porous media equations. The main challenge of this type of problems is that the Kolmogorov width of the solution manifold typically decays quite slowly and thus makes usual linear model order reduction methods inappropriate. In this work, we investigate an adaptation of the methodology proposed in [Ehrlacher et al., Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces, ESAIM: Mathematical Modelling and Numerical Analysis (2020)], based on the use of Wasserstein barycenters [Agueh & Carlier, Barycenters in the Wasserstein Space, SIAM Journal on Mathematical Analysis (2011)], to the case of non-conservative problems. Numerical examples in one-dimensional test cases illustrate the advantages and limitations of this approach and suggest further research directions that we intend to explore in the future.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2982355