Adaptive moving grid methods for two-phase flow in porous media

Handle URI:
http://hdl.handle.net/10754/563665
Title:
Adaptive moving grid methods for two-phase flow in porous media
Authors:
Dong, Hao; Qiao, Zhonghua; Sun, Shuyu ( 0000-0002-3078-864X ) ; Tang, Tao
Abstract:
In this paper, we present an application of the moving mesh method for approximating numerical solutions of the two-phase flow model in porous media. The numerical schemes combine a mixed finite element method and a finite volume method, which can handle the nonlinearities of the governing equations in an efficient way. The adaptive moving grid method is then used to distribute more grid points near the sharp interfaces, which enables us to obtain accurate numerical solutions with fewer computational resources. The numerical experiments indicate that the proposed moving mesh strategy could be an effective way to approximate two-phase flows in porous media. © 2013 Elsevier B.V. All rights reserved.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Environmental Science and Engineering Program; Computational Transport Phenomena Lab
Publisher:
Elsevier BV
Journal:
Journal of Computational and Applied Mathematics
Issue Date:
Aug-2014
DOI:
10.1016/j.cam.2013.09.027
Type:
Article
ISSN:
03770427
Sponsors:
The research of H. Dong and T. Tang is mainly supported by Hong Kong Research Council GRF Grants and Hong Kong Baptist University FRG grants. The research of Z. Qiao is partially supported by the Hong Kong RGC grant PolyU 2021/12P. S. Sun is partially supported by KAUST's GRP University Research Funds.
Appears in Collections:
Articles; Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Computational Transport Phenomena Lab

Full metadata record

DC FieldValue Language
dc.contributor.authorDong, Haoen
dc.contributor.authorQiao, Zhonghuaen
dc.contributor.authorSun, Shuyuen
dc.contributor.authorTang, Taoen
dc.date.accessioned2015-08-03T12:05:30Zen
dc.date.available2015-08-03T12:05:30Zen
dc.date.issued2014-08en
dc.identifier.issn03770427en
dc.identifier.doi10.1016/j.cam.2013.09.027en
dc.identifier.urihttp://hdl.handle.net/10754/563665en
dc.description.abstractIn this paper, we present an application of the moving mesh method for approximating numerical solutions of the two-phase flow model in porous media. The numerical schemes combine a mixed finite element method and a finite volume method, which can handle the nonlinearities of the governing equations in an efficient way. The adaptive moving grid method is then used to distribute more grid points near the sharp interfaces, which enables us to obtain accurate numerical solutions with fewer computational resources. The numerical experiments indicate that the proposed moving mesh strategy could be an effective way to approximate two-phase flows in porous media. © 2013 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipThe research of H. Dong and T. Tang is mainly supported by Hong Kong Research Council GRF Grants and Hong Kong Baptist University FRG grants. The research of Z. Qiao is partially supported by the Hong Kong RGC grant PolyU 2021/12P. S. Sun is partially supported by KAUST's GRP University Research Funds.en
dc.publisherElsevier BVen
dc.subjectFinite volume methoden
dc.subjectMixed finite element methoden
dc.subjectMoving mesh methoden
dc.subjectPorous mediumen
dc.subjectTwo-phase flowen
dc.titleAdaptive moving grid methods for two-phase flow in porous mediaen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.contributor.departmentComputational Transport Phenomena Laben
dc.identifier.journalJournal of Computational and Applied Mathematicsen
dc.contributor.institutionInstitute for Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon, Hong Kongen
dc.contributor.institutionDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Hong Kongen
dc.contributor.institutionDepartment of Mathematics, Institute for Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon, Hong Kongen
kaust.authorSun, Shuyuen
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