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dc.contributor.advisorSava, Paul C.
dc.contributor.authorDíaz Pantin, Esteban F.
dc.date.accessioned2017-01-12T17:44:40Z
dc.date.accessioned2022-02-03T12:56:54Z
dc.date.available2017-01-12T17:44:40Z
dc.date.available2022-02-03T12:56:54Z
dc.date.issued2016
dc.identifierT 8182
dc.identifier.urihttps://hdl.handle.net/11124/170618
dc.descriptionIncludes bibliographical references.
dc.description2016 Fall.
dc.description.abstractSeismic images reconstructed by migration from seismic data recorded at the surface represent the earth structure at every location in the subsurface. The data are remapped into the subsurface by using a wave equation and an estimate of the earth velocity. The velocity model is of great importance for obtaining accurate seismic images and for understanding the subsurface reservoir properties and conditions. In this thesis, I focus on structure and velocity estimation from surface seismic data. In order to invert for the velocity model, I seek to improve the synchronization and consistency of the extrapolated surface seismic data inside the subsurface. I use correlation functions to measure the synchronization of seismic waveelds with extended images in the image-domain, and with local correlations in the data-domain. Both correlation methods are conceptually similar and yield, after penalization, the estimate of synchronization. The penalty operator objective is to highlight areas of the correlation gathers that need to be improved through optimization of the model parameters. I incorporate, in both subsurface and data correlations, a penalty operator that takes into account the geometry of the data and its bandwidth. Another important aspect of the subsurface imaging process are the waveelds themselves. Most of the waveelds used in imaging and tomography disregard internal and surface-related multiples. Conventional methods fail to handle multiple scattered waves; hence, the multiples act as noise in the conventional and extended images producing an important bias towards low velocities as an outcome. I compute extended images using waveelds reconstructed with single scattering assumptions and waveelds that correctly handle multiple scattered waves. I show how the extended images with multiples contain similar sensitivity to the background velocity model as the conventional extended images. Additionally, the obtained extended images do not introduce a bias towards low velocities as is the case with conventional extended images.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartof2010-2019 - Mines Theses & Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subjectimaging
dc.subjecttomography
dc.subjectextended imaging
dc.subjectvelocity model
dc.subjectinversion
dc.titleExtended imaging and tomography under two-way operators
dc.typeText
dc.contributor.committeememberHale, Dave, 1955-
dc.contributor.committeememberLi, Yaoguo
dc.contributor.committeememberSingha, Kamini
dc.contributor.committeememberTenorio, Luis
thesis.degree.nameDoctor of Philosophy (Ph.D.)
thesis.degree.levelDoctoral
thesis.degree.disciplineGeophysics
thesis.degree.grantorColorado School of Mines


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