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dc.contributor.authorLie, Knut-Andreas
dc.contributor.authorKrogstad, Stein
dc.contributor.authorWatson, Francesca
dc.contributor.authorBorregales Reveron, Manuel Antonio
dc.date.accessioned2020-11-11T07:36:32Z
dc.date.available2020-11-11T07:36:32Z
dc.date.issued2020
dc.identifier.isbn978-82-14-06437-7
dc.identifier.urihttps://hdl.handle.net/11250/2687239
dc.description.abstractFlow diagnostics are simple quantities that can be derived from basic flow simulations to probe a reservoir model, establish connections and basic volume estimates, and measure heterogeneity in flow paths. This user guide introduces various types of flow diagnostics, followed by an overview of two graphical user interfaces (GUIs) developed in the MATLAB Reservoir Simulation Toolbox (MRST) that can be used to quickly interrogate an ensemble of model realizations and investigate relative differences in flow patterns between them, prior to running computationally expensive, multiphase flow simulations. The first GUI enables you to inspect and cross-plot various measures of dynamic heterogeneity as well as simplified estimates of (economic) objectivity functions such as recovery factor and netpresent value for the whole ensemble. The second GUI focuses more on volumetric connections, communication patterns, and timelines for fluid transport within individual models or selected subsets of the full ensemble. It offers much of the same visualization capabilities as the GUI developed for flow-diagnostic postprocessing of multiphase flow simulations.en_US
dc.language.isoengen_US
dc.publisherSINTEF Digitalen_US
dc.relation.ispartofseriesSINTEF rapport;2020:01131
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectMRSTen_US
dc.subjectMATLABen_US
dc.subjectReservoir Simulationen_US
dc.subjectEnsemble Modellingen_US
dc.subjectFlow Diagnosticsen_US
dc.titleUser Guide to Flow Diagnostics in MRST - Flow Diagnostics Preprocessors for Model Ensemblesen_US
dc.typeResearch reporten_US
dc.description.versionpublishedVersionen_US
dc.subject.nsiVDP::Technology: 500::Rock and petroleum disciplines: 510en_US
dc.source.pagenumber56en_US
dc.identifier.cristin1846239
dc.relation.projectNorges forskningsråd: 280950en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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