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dc.contributor.authorKlemetsdal, Øystein Strengehagen
dc.contributor.authorRasmussen, Atgeirr Flø
dc.contributor.authorMøyner, Olav
dc.contributor.authorLie, Knut-Andreas
dc.date.accessioned2020-03-06T08:30:00Z
dc.date.available2020-03-06T08:30:00Z
dc.date.created2019-07-05T08:17:00Z
dc.date.issued2019
dc.identifier.citationComputational Geosciences. 2019, 1-15.nb_NO
dc.identifier.issn1420-0597
dc.identifier.urihttp://hdl.handle.net/11250/2645678
dc.description.abstractThe fully implicit method is the most commonly used approach to solve black-oil problems in reservoir simulation. The method requires repeated linearization of large nonlinear systems and produces ill-conditioned linear systems. We present a strategy to reduce computational time that relies on two key ideas: (i) a sequential formulation that decouples flow and transport into separate subproblems, and (ii) a highly efficient Gauss–Seidel solver for the transport problems. This solver uses intercell fluxes to reorder the grid cells according to their upstream neighbors, and groups cells that are mutually dependent because of counter-current flow into local clusters. The cells and local clusters can then be solved in sequence,starting from the inflow and moving gradually downstream, since each new cell or local cluster will only depend on upstream neighbors that have already been computed. Altogether, this gives optimal localization and control of the nonlinear solution process. This method has been successfully applied to real-field problems using the standard first-order finite volume discretization. Here, we extend the idea to first-order dG methods on fully unstructured grids. We also demonstrate proof of concept for the reordering idea by applying it to the full simulation model of the Norne oil field, using a prototype variant of the open-source OPM Flow simulator.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringernb_NO
dc.subjectReservoarmodelleringnb_NO
dc.subjectReservoir modellingnb_NO
dc.titleEfficient reordered nonlinear Gauss–Seidel solvers with higher order for black-oil modelsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.subject.nsiVDP::Matematisk modellering og numeriske metoder: 427nb_NO
dc.subject.nsiVDP::Mathematic modelling and numerical methods: 427nb_NO
dc.source.pagenumber1-15nb_NO
dc.source.journalComputational Geosciencesnb_NO
dc.identifier.doi10.1007/s10596-019-09844-5
dc.identifier.cristin1710251
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article. Locked until 4.7.2020 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/s10596-019-09844-5nb_NO
cristin.unitcode194,63,15,0
cristin.unitnameInstitutt for matematiske fag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode1


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