Visualizing highly multidimensional time varying Microseismic Events

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dc.contributor.authorMostafa, Ahmedeng
dc.contributor.authorCarpendale, Sheelagheng
dc.contributor.authorBrazil, Emilioeng
dc.contributor.authorEaton, Davideng
dc.contributor.authorSharlin, Ehudeng
dc.contributor.authorCosta Sousa, Marioeng
dc.date.accessioned2012-10-16T16:48:30Z
dc.date.available2012-10-16T16:48:30Z
dc.date.issued2012-10-16T16:48:30Z
dc.description.abstractMaking decisions about improving an oil and gas reservoir model based upon microseismic data is a difficult challenge for reservoir engineers and analysts. These difficulties arise because the available data contains inaccuracies, has high-dimensionality and has a high degree of uncertainty. Currently these difficulties are intensified by the lack of computational tools to support interactive visual interpretation and integration of geophysical data leading to robust structural models of the reservoir and its parameters. To address these difficulties domain experts are demanding better and more detailed visualization tools to help them as they explore their data. In this paper, we present a tool that contains a set of interactive visualizations that combines, merges and extends existing visualization techniques. We describe the iterative design process we undertook to develop the tool, relying on insight from domain specialists. Our tool supports 3D spatial analysis and exploration of the data with a set of manipulations designed to provide domain experts with insights into their highly complex microseismic data. Our microseismic visual-analysis tool also provides an extended parallel coordinates implementation to: (1) support interactive filtering and selection through combined filter and shadow boxes that can remove the uninteresting events from further analysis, (2) correlate between the data attributes by axes reordering and outlier discovery, and (3) visually correlate the data events rendering through additional visual elements such as color maps. Our multiple coordinated views link the insights gained from one view with other views instantaneously. We conclude with a discussion of the feedback provided to us by the domain experts.eng
dc.description.refereedNoeng
dc.identifier.department2012-1032-15eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/31050
dc.identifier.urihttp://hdl.handle.net/1880/49277
dc.language.isoengeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectVisualizationeng
dc.subjectMicroseismiceng
dc.subject.otherMicroseismic events, monitoring, data, visualizationeng
dc.titleVisualizing highly multidimensional time varying Microseismic Eventseng
dc.typetechnical reporteng
thesis.degree.disciplineComputer Scienceeng
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