Skip to Main content Skip to Navigation
Journal articles

Adjacent versus coincident representations of geospatial uncertainty: Which promote better decisions?

Thomas Viard 1 Guillaume Caumon 1 Bruno Levy 2
2 ALICE - Geometry and Lighting
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 3D geological models commonly built to manage natural resources are much affected by uncertainty because most of the subsurface is inaccessible to direct observation. Appropriate ways to intuitively visualize uncertainties are therefore critical to draw appropriate decisions. However, empirical assessments of uncertainty visualization for decision making are currently limited to two-dimensional map data, while most geological entities are either surfaces embedded in a 3D space or volumes. This paper first reviews a typical example of decision making under uncertainty, where uncertainty visualization methods can actually make a difference. This issue is illustrated on a real Middle East oil and gas reservoir, looking for the optimal location of a new appraisal well. In a second step, we propose a user study that goes beyond traditional 2D map data, using 2.5D pressure data for the purposes of well design. Our experiments study the quality of adjacent versus coincident representations of spatial uncertainty as compared to the presentation of data without uncertainty; the representations quality is assessed in terms of decision accuracy. Our study was conducted within a group of 123 graduate students specialized in geology.
Document type :
Journal articles
Complete list of metadatas

Cited literature [52 references]  Display  Hide  Download

https://hal-insu.archives-ouvertes.fr/insu-00593625
Contributor : Guillaume Caumon <>
Submitted on : Monday, May 16, 2011 - 5:25:11 PM
Last modification on : Friday, October 23, 2020 - 4:37:27 PM
Long-term archiving on: : Wednesday, August 17, 2011 - 2:43:25 AM

File

Viard2011C_G_Preprint.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Thomas Viard, Guillaume Caumon, Bruno Levy. Adjacent versus coincident representations of geospatial uncertainty: Which promote better decisions?. Computers & Geosciences, Elsevier, 2011, 37 (4), pp.511-520. ⟨10.1016/j.cageo.2010.08.004⟩. ⟨insu-00593625⟩

Share

Metrics

Record views

796

Files downloads

970