Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31946
Title: Linearized domain decomposition methods for two-phase porous media flow models involving dynamic capillarity and hysteresis
Authors: LUNOWA, Stephan 
POP, Sorin 
Koren, Barry
Issue Date: 2020
Publisher: 
Source: Computer methods in applied mechanics and engineering, 372 (Art N° 113364)
Abstract: We discuss two linearization and domain decomposition methods for mathematical models for two-phase flow in a porous medium. The medium consists of two adjacent regions with possibly different parameterizations. The model accounts for non-equilibrium effects like dynamic capillarity and hysteresis. The θ-scheme is adopted for the temporal discretization of the equations yielding nonlinear time-discrete equations. For these, we propose and analyze two iterative schemes, which combine a stabilized linearization iteration of fixed-point type, the L-scheme, and a non-overlapping domain decomposition method into one iteration. First, we prove the existence of unique solutions to the problems defining the linear iterations. Then, we give the rigorous convergence proof for both iterative schemes towards the solution of the time-discrete equations. The developed schemes are independent of the spatial discretization or the mesh and avoid the use of derivatives as in Newton based iterations. Their convergence holds independently of the initial guess, and under mild constraints on the time step. The numerical examples confirm the theoretical results and demonstrate the robustness of the schemes. In particular, the second scheme is well suited for models incorporating hysteresis. The schemes can be easily implemented for realistic applications.
Keywords: Linearization;Domain decomposition;Two-phase flow in porous media;Dynamic capillarity;Hysteresis
Document URI: http://hdl.handle.net/1942/31946
ISSN: 0045-7825
e-ISSN: 1879-2138
DOI: 10.1016/j.cma.2020.113364
ISI #: WOS:000593764800002
Rights: 2020 Elsevier B.V. All rights reserved
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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