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  4. Vanishing artifficial diffusion as a mechanism to accelerate convergence for multiphase porous media flow
 
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Vanishing artifficial diffusion as a mechanism to accelerate convergence for multiphase porous media flow
File(s)
Vanishing artificial diffusion as a mechanism toaccelerate convergence for multiphase porous media flow.pdf (2.61 MB)
Accepted version
Author(s)
Salinas, Pablo
Pain, Christopher
Osman, Hossam
Jacquemyn, Carl
Xie, Zhihua
more
Type
Journal Article
Abstract
Numerical solution of the equations governing multiphase porous media flow is challenging. A common approach to improve the performance of iterative non-linear solvers for these problems is to introduce artificial diffusion. Here, we present a mass conservative artificial diffusion that accelerates the non-linear solver but vanishes when the solution is converged. The vanishing artificial diffusion term is saturation dependent and is larger in regions of the solution domain where there are steep saturation gradients. The non-linear solver converges more slowly in these regions because of the highly non-linear nature of the solution. The new method provides accurate results while significantly reducing the number of iterations required by the non-linear solver. It is particularly valuable in reducing the computational cost of highly challenging numerical simulations, such as those where physical capillary pressure effects are dominant. Moreover, the method allows converged solutions to be obtained for Courant numbers that are at least two orders of magnitude larger than would otherwise be possible.
Date Issued
2020-02-01
Date Acceptance
2019-07-05
Citation
Computer Methods in Applied Mechanics and Engineering, 2020, 359, pp.1-15
URI
http://hdl.handle.net/10044/1/71681
URL
https://www.sciencedirect.com/science/article/pii/S0045782519304001?via%3Dihub
DOI
https://www.dx.doi.org/10.1016/j.cma.2019.07.004
ISSN
0045-7825
Publisher
Elsevier
Start Page
1
End Page
15
Journal / Book Title
Computer Methods in Applied Mechanics and Engineering
Volume
359
Copyright Statement
© 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Engineering & Physical Science Research Council (E
Identifier
https://www.sciencedirect.com/science/article/pii/S0045782519304001?via%3Dihub
Grant Number
EP/R005761/1
Subjects
Applied Mathematics
01 Mathematical Sciences
09 Engineering
Publication Status
Published online
Date Publish Online
2019-10-15
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