A robust mesh optimisation method for multiphase porous media flows
File(s)
OA Location
Author(s)
Type
Journal Article
Abstract
Flows of multiple fluid phases are common in many subsurface reservoirs. Numerical simulation of these flows can be
challenging and computationally expensive. Dynamic adaptive mesh optimisation and related approaches, such as adaptive
grid refinement can increase solution accuracy at reduced computational cost. However, in models or parts of the model
domain, where the local Courant number is large, the solution may propagate beyond the region in which the mesh is
refined, resulting in reduced solution accuracy, which can never be recovered. A methodology is presented here to modify
the mesh within the non-linear solver. The method allows efficient application of dynamic mesh adaptivity techniques even
with high Courant numbers. These high Courant numbers may not be desired but a consequence of the heterogeneity of the
domain. Therefore, the method presented can be considered as a more robust and accurate version of the standard dynamic
mesh adaptivity techniques.
challenging and computationally expensive. Dynamic adaptive mesh optimisation and related approaches, such as adaptive
grid refinement can increase solution accuracy at reduced computational cost. However, in models or parts of the model
domain, where the local Courant number is large, the solution may propagate beyond the region in which the mesh is
refined, resulting in reduced solution accuracy, which can never be recovered. A methodology is presented here to modify
the mesh within the non-linear solver. The method allows efficient application of dynamic mesh adaptivity techniques even
with high Courant numbers. These high Courant numbers may not be desired but a consequence of the heterogeneity of the
domain. Therefore, the method presented can be considered as a more robust and accurate version of the standard dynamic
mesh adaptivity techniques.
Date Issued
2018-10
Date Acceptance
2018-07-11
Citation
Computational Geosciences, 2018, 22 (5), pp.1389-1401
ISSN
1420-0597
Publisher
Springer Verlag
Start Page
1389
End Page
1401
Journal / Book Title
Computational Geosciences
Volume
22
Issue
5
Copyright Statement
© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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Subjects
0499 Other Earth Sciences
Numerical & Computational Mathematics
Publication Status
Published
Date Publish Online
2018-07-30