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Nonlinear preconditioning for two-phase flows
Luo, L.1; Cai, X.2; Keyes, D.1
2021-09
Conference NameFifth EAGE Workshop on High Performance Computing for Upstream
Source Publication5th EAGE Workshop on High Performance Computing for Upstream
Volume2021
Pages1-5
Conference Date6-8 September 2021
Conference PlaceMilan
CountryItaly
Publication PlaceNetherlands‎
PublisherEuropean Association of Geoscientists & Engineers
Contribution Rank1
Abstract

Using a classical Newton-Krylov method to solve the resulting nonlinear system of two-phase flows in porous media often suffers from slow convergence or failure in line search. We propose two nonlinear elimination preconditioning strategies to handle this issue by performing subspace correction to remove the local strong nonlinearities. Numerical experiments show that the proposed methods are more robust and faster than the existing method with respect to some physical and numerical parameters, and scalable to thousands of processes.

DOI10.3997/2214-4609.2021612015
URLView the original
Indexed ByCPCI-S
Language英語English
Scopus ID2-s2.0-85118836735
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF MATHEMATICS
Faculty of Science and Technology
Affiliation1.King Abdullah University of Science and Technology, Saudi Arabia
2.University of Macau, Macao
Recommended Citation
GB/T 7714
Luo, L.,Cai, X.,Keyes, D.. Nonlinear preconditioning for two-phase flows[C], Netherlands‎:European Association of Geoscientists & Engineers, 2021, 1-5.
APA Luo, L.., Cai, X.., & Keyes, D. (2021). Nonlinear preconditioning for two-phase flows. 5th EAGE Workshop on High Performance Computing for Upstream, 2021, 1-5.
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