Projects per year
Abstract
This article performs a unified convergence analysis of a variety of numerical methods for a model of the miscible displacement of one incompressible fluid by another through a porous medium. The unified analysis is enabled through the framework of the gradient discretisation method for diffusion operators on generic grids. We use it to establish a novel convergence result in (Formula presented.) of the approximate concentration using minimal regularity assumptions on the solution to the continuous problem. The convection term in the concentration equation is discretised using a centred scheme. We present a variety of numerical tests from the literature, as well as a novel analytical test case. The performance of two schemes is compared on these tests; both are poor in the case of variable viscosity, small diffusion and medium to small time steps. We show that upstreaming is not a good option to recover stable and accurate solutions, and we propose a correction to recover stable and accurate schemes for all time steps and all ranges of diffusion.
Original language | English |
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Pages (from-to) | 333-374 |
Number of pages | 42 |
Journal | Foundations of Computational Mathematics |
Volume | 19 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2019 |
Keywords
- Convergence analysis
- Coupled elliptic–parabolic problem
- Finite differences
- Gradient discretisation method
- Mass-lumped finite elements
- Miscible fluid flow
- Uniform-in-time convergence
Projects
- 1 Finished
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Discrete functional analysis: bridging pure and numerical mathematics
Droniou, J., Eymard, R. & Manzini, G.
Australian Research Council (ARC), Monash University, Université Paris-Est Créteil Val de Marne (Paris-East Créteil University Val de Marne), University of California System
1/01/17 → 31/12/20
Project: Research