Cluster Analysis in Reservoir Characterization

dc.contributor.advisorLake, Larry W.
dc.creatorMuneta, Yasuhiro
dc.date.accessioned2020-05-04T23:05:04Z
dc.date.available2020-05-04T23:05:04Z
dc.date.issued1994-08
dc.description.abstractAny raw data sampled in an oil field has a certain amount of noise; the sample may be called an obscure image of the real thing. We may eliminate the noise by a process of "image enhancement" in "statistical pattern recognition." Image enhancement is one of the important steps in processing large data sets to make them more suitable for classification than were the original data. In this work, cluster analysis, which is a method of image enhancement, is applied to some reservoir characterization problems such as permeability distributions of core samples, sand/shale sequences observed in wells, and pressure distributions in heterogeneous porous media to classify the sample data and find the intrinsic patterns (averaged images) from the original data sets. Cluster analysis is a multivariate statistical method. It is very general and can be applied to a wide area of scientific investigations. It is often called a tool of discovery or an unsupervised approach which doesn't depend on a priori information. It searches unknown-significant categories (patterns) themselves. Once we obtain typical patterns, we may analogously approach the real thing based on them. We find that cluster analysis is applicable to finding appropriate parent populations of a permeability distribution, theoretical indicator variograms of sand/shale sequences, and trends of effective permeability distribution.en_US
dc.description.departmentPetroleum and Geosystems Engineeringen_US
dc.format.mediumelectronicen_US
dc.identifier.urihttps://hdl.handle.net/2152/81173
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/8186
dc.language.isoengen_US
dc.relation.ispartofUT Electronic Theses and Dissertationsen_US
dc.rightsCopyright © is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en_US
dc.rights.restrictionRestricteden_US
dc.subjectPermeabilityen_US
dc.subjectReservoir characterizationen_US
dc.titleCluster Analysis in Reservoir Characterizationen_US
dc.typeThesisen_US
dc.type.genreThesisen_US
thesis.degree.departmentPetroleum and Geosystems Engineeringen_US
thesis.degree.disciplinePetroleum Engineeringen_US
thesis.degree.grantorUniversity of Texas at Austinen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMasters of Science in Engineeringen_US

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