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dc.contributor.authorGhommem, Mehdi
dc.contributor.authorGildin, Eduardo
dc.contributor.authorGhasemi, Mohammadreza
dc.date.accessioned2016-01-11T13:25:49Z
dc.date.available2016-01-11T13:25:49Z
dc.date.issued2016-02-18
dc.identifier.citationComplexity Reduction of Multiphase Flows in Heterogeneous Porous Media 2015 SPE Journal
dc.identifier.issn1086-055X
dc.identifier.doi10.2118/167295-PA
dc.identifier.urihttp://hdl.handle.net/10754/593272
dc.description.abstractIn this paper, we apply mode decomposition and interpolatory projection methods to speed up simulations of two-phase flows in heterogeneous porous media. We propose intrusive and nonintrusive model-reduction approaches that enable a significant reduction in the size of the subsurface flow problem while capturing the behavior of the fully resolved solutions. In one approach, we use the dynamic mode decomposition. This approach does not require any modification of the reservoir simulation code but rather post-processes a set of global snapshots to identify the dynamically relevant structures associated with the flow behavior. In the second approach, we project the governing equations of the velocity and the pressure fields on the subspace spanned by their proper-orthogonal-decomposition modes. Furthermore, we use the discrete empirical interpolation method to approximate the mobility-related term in the global-system assembly and then reduce the online computational cost and make it independent of the fine grid. To show the effectiveness and usefulness of the aforementioned approaches, we consider the SPE-10 benchmark permeability field, and present a numerical example in two-phase flow. One can efficiently use the proposed model-reduction methods in the context of uncertainty quantification and production optimization.
dc.language.isoen
dc.publisherSociety of Petroleum Engineers (SPE)
dc.relation.urlhttp://www.onepetro.org/doi/10.2118/167295-PA
dc.rightsArchived with thanks to SPE Journal
dc.titleComplexity Reduction of Multiphase Flows in Heterogeneous Porous Media
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalSPE Journal
dc.eprint.versionPost-print
dc.contributor.institutionSchlumberger
dc.contributor.institutionTexas A&M University
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personGhommem, Mehdi
refterms.dateFOA2018-06-13T13:32:33Z
dc.date.published-online2016-02-18
dc.date.published-print2016-02-01


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