Visual Analysis of Reservoir Simulation Ensembles

Thomas Höllt, Fabio Miguel de Matos Ravanelli, Markus Hadwiger, Ibrahim Hoteit

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationEnvirVis 2016 - Workshop on Visualisation in Environmental Sciences
EditorsDieter Fellner
PublisherThe Eurographics Association
Number of pages5
ISBN (Electronic)9783038680185
StatePublished - 2016
Event4th Workshop on Visualisation in Environmental Sciences, EnvirVis 2016 at EuroVis 2016 - Groningen, Netherlands
Duration: Jun 6 2016Jun 7 2016

Publication series

NameEnvirVis 2016 - Workshop on Visualisation in Environmental Sciences


Conference4th Workshop on Visualisation in Environmental Sciences, EnvirVis 2016 at EuroVis 2016

Bibliographical note

Publisher Copyright:
© 2016 The Author(s) Eurographics Proceedings © 2016 The Eurographics Association.

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • General Environmental Science


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