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dc.contributor.authorRocha, Allanen_US
dc.contributor.authorMota, Roberta Cabral Ramosen_US
dc.contributor.authorHamdi, Hamidrezaen_US
dc.contributor.authorAlim, Usman R.en_US
dc.contributor.authorSousa, Mario Costaen_US
dc.contributor.editorJeffrey Heer and Heike Leitte and Timo Ropinskien_US
dc.date.accessioned2018-06-02T18:09:25Z
dc.date.available2018-06-02T18:09:25Z
dc.date.issued2018
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13434
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13434
dc.description.abstractIn this paper, we present a novel illustrative multivariate visualization for geological modelling to assist geologists and reservoir engineers in visualizing multivariate datasets in superimposed representations, in contrast to the single-attribute visualizations supported by commercial software. Our approach extends the use of decals from a single surface to 3D irregular grids, using the layering concept to represent multiple attributes. We also build upon prior work to augment the design and implementation of different geological attributes (namely, rock type, porosity, and permeability). More specifically, we propose a new sampling strategy to generate decals for porosity on the geological grid, a hybrid visualization for permeability which combines 2D decals and 3D ellipsoid glyphs, and a perceptually-based design that allows us to visualize additional attributes (e.g., oil saturation) while avoiding visual interference between layers. Furthermore, our visual design draws from traditional geological illustrations, facilitating the understanding and communication between interdisciplinary teams. An evaluation by domain experts highlights the potential of our approach for geological modelling and interpretation in this complex domain.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts Visualization Application Domains
dc.subjectScientific Visualization
dc.subjectPhysical Sciences and Engineering
dc.subjectEarth and Atmospheric Sciences
dc.titleIllustrative Multivariate Visualization for Geological Modellingen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersApplications
dc.description.volume37
dc.description.number3
dc.identifier.doi10.1111/cgf.13434
dc.identifier.pages465-477


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  • 37-Issue 3
    EuroVis 2018 - Conference Proceedings

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