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dc.contributor.authorDepner, Joseph Scott.
dc.creatorDepner, Joseph Scott.en_US
dc.date.accessioned2011-11-28T14:08:59Z
dc.date.available2011-11-28T14:08:59Z
dc.date.issued1985en_US
dc.identifier.urihttp://hdl.handle.net/10150/191867
dc.description.abstractThe log permeability spatial covariance function is usually estimated by semivariogram analysis of local log permeability measurements. In the presence of statistical anisotropy, however, this method is sometimes impractical because it requires a large number of measurements. In this thesis, a methodology is developed which overcomes this difficulty by combining results from both small-scale and large-scale field tests. In particular, data from single-hole packer tests conducted in vertical boreholes drilled into granite near Oracle, Arizona, are combined with cross-hole test results to determine the three-dimensional covariance structure of the local log permeability field. The combination is based on a theoretical relationship between the effective permeability tensor of a rock mass and the spatial variability of local log permeabilities within the rock mass.
dc.language.isoenen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectHydrology.
dc.subjectRocks -- Arizona -- Oracle Region -- Permeability.
dc.subjectSoil permeability -- Arizona -- Oracle Region.
dc.subjectGranite -- Arizona -- Oracle Region.
dc.subjectGroundwater -- Arizona -- Oracle Region.
dc.titleEstimation of the three-dimensional anisotropic spatial covariance of log permeability using single-hole and cross-hole packer test data from fractured granitesen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.contributor.chairNeuman, Shlomo P.en_US
dc.identifier.oclc213415408en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
dc.contributor.committeememberDavis, Don R.en_US
dc.contributor.committeememberMaddock, Tomen_US
thesis.degree.disciplineHydrology and Water Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.nameM.S.en_US
dc.description.notehydrology collectionen_US
refterms.dateFOA2018-08-13T19:47:49Z
html.description.abstractThe log permeability spatial covariance function is usually estimated by semivariogram analysis of local log permeability measurements. In the presence of statistical anisotropy, however, this method is sometimes impractical because it requires a large number of measurements. In this thesis, a methodology is developed which overcomes this difficulty by combining results from both small-scale and large-scale field tests. In particular, data from single-hole packer tests conducted in vertical boreholes drilled into granite near Oracle, Arizona, are combined with cross-hole test results to determine the three-dimensional covariance structure of the local log permeability field. The combination is based on a theoretical relationship between the effective permeability tensor of a rock mass and the spatial variability of local log permeabilities within the rock mass.


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