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Title of Journal: Stoch Environ Res Risk Assess

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Abbravation: Stochastic Environmental Research and Risk Assessment

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Springer Berlin Heidelberg

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DOI

10.1002/phbl.19950510708

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1436-3259

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Patternbased conditional simulation with a raster

Authors: Caroline Gardet Mickaele Le Ravalec Erwan Gloaguen
Publish Date: 2016/01/05
Volume: 30, Issue: 2, Pages: 429-446
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Abstract

Mass transport is known to depend on heterogeneity in geological formations This entails geological bodies with complex geometries The major interest of multiplepoint simulation is its ability to reproduce such geological features through the use of a training image The idea behind the training image is to describe a geological concept with the expected geological architecture Its structural content is then used to infer multiplepoint statistics This yields a database with a variety of possible patterns or events In this paper we present a hybrid algorithm combining geostatistical multiplepoint and texture synthesis techniques for simulating geological reservoir models constrained to hard data The proposed algorithm is a two steps process involving first analysis with the building of an organized database from the training image content and second synthesis with the simulation of a realization Various tests are performed to investigate the potential of the algorithm in terms of computation time and ability to properly reproduce the shapes and connectivity features of the objects represented in the training image We also propose a few improvements to make the algorithm more efficient Last six examples are presented based upon different kinds of training images depicting largescale channelized and fractured media as well as finescale porous media

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