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dc.contributor.authorHöllt, Thomasen_US
dc.contributor.authorRavanelli, Fabio Miguel de Matosen_US
dc.contributor.authorHadwiger, Markusen_US
dc.contributor.authorHoteit, Ibrahimen_US
dc.contributor.editorKarsten Rink and Ariane Middel and Dirk Zeckzeren_US
dc.date.accessioned2016-06-09T09:31:29Z
dc.date.available2016-06-09T09:31:29Z
dc.date.issued2016en_US
dc.identifier.isbn978-3-03868-018-5en_US
dc.identifier.issn-en_US
dc.identifier.urihttp://dx.doi.org/10.2312/envirvis.20161099en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.description.abstractHydrocarbon reservoir simulation models produce large amounts of heterogeneous data, combining multiple variables of different dimensionality, such as two or three-dimensional geospatial estimates with abstract estimates simulated for the complete field or different wells. In addition these simulations are nowadays often run as so-called ensemble simulations, to capture uncertainty of the model, as well as boundary conditions as variation in the output. The (visual) analysis of such data is a challenging process, due to the size and complexity of the data. In this paper we present an integrated system for the visual analysis of ensemble reservoir simulation data. We provide tools to inspect forecasts for multiple variables of complete fields, as well as different wells. Finally, we present a case study highlighting the effectiveness of the presented system.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.8 [Computer Graphics]en_US
dc.subjectApplicationsen_US
dc.titleVisual Analysis of Reservoir Simulation Ensemblesen_US
dc.description.seriesinformationWorkshop on Visualisation in Environmental Sciences (EnvirVis)en_US
dc.description.sectionheadersSession 1en_US
dc.identifier.doi10.2312/envirvis.20161099en_US
dc.identifier.pages1-5en_US


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