Print Email Facebook Twitter A simple algorithm to generate small geostatistical ensembles for subsurface flow simulation Title A simple algorithm to generate small geostatistical ensembles for subsurface flow simulation Author Jansen, J.D. Faculty Civil Engineering and Geosciences Department Geoscience and Engineering Date 2013-03-01 Abstract This note describes the theory behind a simple Matlab program to generate ensembles of geological realizations of relatively small-scale reservoir models (permeability fields) for subsurface flow simulation. The algorithm makes use of Principal Component Analysis (PCA) to parameterize the spatial covariance of a reference image, and a Bayesian optimization approach to condition the realizations to well data. The method is limited to relatively small images, mainly because of memory requirements, and only uses two-point statistics. However, it does not require iteration or rejection of ensembles and is computationally efficient because of the use of vectorized Matlab operations. Subject geostatisticsMatlabprincipal component analysisPCAKarhuenen-LoèvepermeabilityensemblerealizationsconditioningBayesiantwo-point statisticscovariance To reference this document use: http://resolver.tudelft.nl/uuid:6000459e-a0cb-40d1-843b-81650053e093 Part of collection Institutional Repository Document type report Rights (c) J.D. Jansen Files PDF Jansen2013_ResearchNote_A ... embles.pdf 533.58 KB Close viewer /islandora/object/uuid:6000459e-a0cb-40d1-843b-81650053e093/datastream/OBJ/view