Conditioning of multiple-point statistics facies simulations to tomographic images

Details

Serval ID
serval:BIB_2F063D622F58
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Conditioning of multiple-point statistics facies simulations to tomographic images
Journal
Mathematical Geosciences
Author(s)
Lochbühler T., Pirot G., Straubhaarand J., Linde N.
ISSN-L
1874-8961
Publication state
Published
Issued date
2014
Volume
46
Pages
625-645
Language
english
Abstract
Geophysical tomography captures the spatial distribution of the underlying
geophysical property at a relatively high resolution, but the tomographic images
tend to be blurred representations of reality and generally fail to reproduce sharp
interfaces. Such models may cause significant bias when taken as a basis for predictive flow and transport modeling and are unsuitable for uncertainty assessment. We present a methodology in which tomograms are used to condition multiple-point statistics (MPS) simulations. A large set of geologically reasonable facies realizations and their corresponding synthetically calculated cross-hole radar tomograms are used as a training image. The training image is scanned with a direct sampling algorithm for patterns in the conditioning tomogram, while accounting for the spatially varying resolution of the tomograms. In a post-processing step, only those conditional simulations that predicted the radar traveltimes within the expected data error levels are accepted. The methodology is demonstrated on a two-facies example featuring channels and an aquifer analog of alluvial sedimentary structures with five facies. For both cases, MPS simulations exhibit the sharp interfaces and the geological patterns found in the training image. Compared to unconditioned MPS simulations, the uncertainty in transport predictions is markedly decreased for simulations conditioned to tomograms. As an improvement to other approaches relying on classical smoothness-constrained geophysical tomography, the proposed method allows for: (1) reproduction of sharp interfaces, (2) incorporation of realistic geological constraints and (3) generation of multiple realizations that enables uncertainty assessment.
Create date
25/11/2013 18:41
Last modification date
20/08/2019 13:13
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