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dc.contributor.advisorSteeples, Don W.
dc.contributor.authorSloan, Steven D.
dc.date.accessioned2009-05-08T22:42:34Z
dc.date.available2009-05-08T22:42:34Z
dc.date.issued2008-01-01
dc.date.submitted2008
dc.identifier.otherhttp://dissertations.umi.com/ku:10056
dc.identifier.urihttp://hdl.handle.net/1808/4545
dc.description.abstractThe research presented in this dissertation focuses on the survey design, acquisition, processing, and interpretation of ultra-shallow seismic reflection (USR) data in two and three dimensions. The application of 3D USR methods to image multiple reflectors less than 20 m deep, including the top of the saturated zone (TSZ), a paleo-channel, and bedrock, are presented using conventional acquisition methods and a new automated method of acquiring 3D data using hydraulically planted geophones. Processing techniques that focus on near-surface problems, such as intersecting reflection hyperbolae caused by large vertical velocity changes and processing pitfalls, are also discussed. The application of AVO analysis of 2D USR data collected during a pumping test yielded amplitude variations related to the thickness of the partially saturated zone that correlated spatially and with changes in pumping. USR methods were also used to image the TSZ less than one meter deep, the shallowest TSZ reflection to date.
dc.format.extent223 pages
dc.language.isoEN
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectGeophysics
dc.subject3d
dc.subjectEnvironmental
dc.subjectNear surface
dc.subjectProcessing
dc.subjectSeismic
dc.titleUltra-Shallow Imaging Using 2D & 3D Seismic Reflection Methods
dc.typeDissertation
dc.contributor.cmtememberTsoflias, Georgios P.
dc.contributor.cmtememberMcElwee, Carl
dc.contributor.cmtememberRoberts, Jennifer A.
dc.contributor.cmtememberParsons, Robert
dc.thesis.degreeDisciplineGeology
dc.thesis.degreeLevelPh.D.
kusw.oastatusna
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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