NDLI: Conditioning Facies Simulations with Connectivity Data

Content Provider	Springer Nature Link
Author	Renard, Philippe Straubhaar, Julien Caers, Jef Mariethoz, Grégoire
Copyright Year	2011
Abstract	When characterizing and simulating underground reservoirs for flow simulations, one of the key characteristics that needs to be reproduced accurately is its connectivity. More precisely, field observations frequently allow the identification of specific points in space that are connected. For example, in hydrogeology, tracer tests are frequently conducted that show which springs are connected to which sink-hole. Similarly well tests often allow connectivity information in a petroleum reservoir to be provided.To account for this type of information, we propose a new algorithm to condition stochastic simulations of lithofacies to connectivity information. The algorithm is based on the multiple-point philosophy but does not imply necessarily the use of multiple-point simulation. However, the challenge lies in generating realizations, for example of a binary medium, such that the connectivity information is honored as well as any prior structural information (e.g. as modeled through a training image). The algorithm consists of using a training image to build a set of replicates of connected paths that are consistent with the prior model. This is done by scanning the training image to find point locations that satisfy the constraints. Any path (a string of connected cells) between these points is therefore consistent with the prior model. For each simulation, one sample from this set of connected paths is sampled to generate hard conditioning data prior to running the simulation algorithm. The paper presents in detail the algorithm and some examples of two-dimensional and three-dimensional applications with multiple-point simulations.
Starting Page	879
Ending Page	903
Page Count	25
File Format	PDF
ISSN	18748961
Journal	Mathematical Geosciences
Volume Number	43
Issue Number	8
e-ISSN	18748953
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-10-05
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Geostatistical simulation Multiple-point statistics Connectivity data Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Geotechnical Engineering & Applied Earth Sciences Earth Sciences Hydrogeology
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Mathematics

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