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.
| Original language | English (US) |
|---|---|
| Title of host publication | EnvirVis 2016 - Workshop on Visualisation in Environmental Sciences |
| Editors | Dieter Fellner |
| Publisher | The Eurographics Association |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 9783038680185 |
| DOIs | |
| State | Published - 2016 |
| Event | 4th Workshop on Visualisation in Environmental Sciences, EnvirVis 2016 at EuroVis 2016 - Groningen, Netherlands Duration: Jun 6 2016 → Jun 7 2016 |
Publication series
| Name | EnvirVis 2016 - Workshop on Visualisation in Environmental Sciences |
|---|
Conference
| Conference | 4th Workshop on Visualisation in Environmental Sciences, EnvirVis 2016 at EuroVis 2016 |
|---|---|
| Country/Territory | Netherlands |
| City | Groningen |
| Period | 06/6/16 → 06/7/16 |
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