Sponsor
Funding was provided by TotalEnergies through the FC-MAELSTROM project. Portions of this work were performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07-NA27344 (LLNL-JRNL-826461).
Published In
Computers & Mathematics with Applications
Document Type
Article
Publication Date
3-24-2022
Subjects
Partial differential equations -- Numerical solutions, Eigenvalues -- Estimation, Eigenvectors
Abstract
A nonlinear multigrid solver for two-phase flow and transport in a mixed fractional-flow velocity-pressure-saturation formulation is proposed. The solver, which is under the framework of the full approximation scheme (FAS), extends our previous work on nonlinear multigrid for heterogeneous diffusion problems. The coarse spaces in the multigrid hierarchy are constructed by first aggregating degrees of freedom, and then solving some local flow problems. The mixed formulation and the choice of coarse spaces allow us to assemble the coarse problems without visiting finer levels during the solving phase, which is crucial for the scalability of multigrid methods. Specifically, a natural generalization of the upwind flux can be evaluated directly on coarse levels using the precomputed coarse flux basis vectors. The resulting solver is applicable to problems discretized on general unstructured grids. The performance of the proposed nonlinear multigrid solver in comparison with the standard single level Newton's method is demonstrated through challenging numerical examples. It is observed that the proposed solver is robust for highly nonlinear problems and clearly outperforms Newton's method in the case of high Courant-Friedrichs-Lewy (CFL) numbers.
Rights
Copyright (c) 2022 The Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
Locate the Document
DOI
10.1016/j.camwa.2022.03.026
Persistent Identifier
https://archives.pdx.edu/ds/psu/37880
Citation Details
Lee, C. S., Hamon, F. P., Castelletto, N., Vassilevski, P. S., & White, J. A. (2022). An aggregation-based nonlinear multigrid solver for two-phase flow and transport in porous media. Computers & Mathematics with Applications, 113, 282-299.