Visual Analysis of Reservoir Simulation Ensembles

Conference Paper (2016)
Author(s)

Thomas Hollt (King Abdullah University of Science and Technology, TU Delft - Computer Graphics and Visualisation)

Fabio Miguel de Matos Ravanelli (Saudi Aramco)

Markus Hadwiger (King Abdullah University of Science and Technology)

Ibrahim Hoteit (King Abdullah University of Science and Technology)

Research Group
Computer Graphics and Visualisation
DOI related publication
https://doi.org/10.2312/envirvis.20161099
More Info
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Publication Year
2016
Language
English
Research Group
Computer Graphics and Visualisation
Pages (from-to)
1-4
Publisher
The Eurographics Association
ISBN (print)
978-3-03868-018-5

Abstract

Hydrocarbon 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.

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