Waserstein model reduction approach for parametrized flow problems in porous media

05/05/2022
by   Beatrice Battisti, et al.
0

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 a previous work, based on the use of Wasserstein barycenters, 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.

READ FULL TEXT
research
09/14/2019

Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces

We consider the problem of model reduction of parametrized PDEs where th...
research
03/24/2021

A Finite-Volume Moving-Mesh Method for Two-phase Flow in Fracturing Porous Media

Flow in fractured porous media is modeled frequently by discrete fractur...
research
02/28/2020

MORLAB – The Model Order Reduction LABoratory

For an easy use of model order reduction techniques in applications, sof...
research
02/13/2023

Structure-Preserving Model Reduction for Port-Hamiltonian Systems Based on a Special Class of Nonlinear Approximation Ansatzes

We discuss structure-preserving model order reduction for port-Hamiltoni...
research
10/12/2022

Model order reduction of solidification problems

Advection driven problems are known to be difficult to model with a redu...
research
01/21/2021

Modelling and discretization of flow in porous media with thin, full-tensor permeability inclusions

When modelling fluid flow in fractured reservoirs, it is common to repre...
research
03/05/2019

A reduction methodology using free-free component eigenmodes and Arnoldi enrichment

In order to perform faster simulations, the model reduction is nowadays ...

Please sign up or login with your details

Forgot password? Click here to reset