Seismic Spectral Bandwidth Extension and Reflectivity Decomposition

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dc.contributor.advisorCastagna, John P.
dc.contributor.committeeMemberChesnokov, Evgeni M.
dc.contributor.committeeMemberZheng, Yingcai
dc.contributor.committeeMemberEbrom, Daniel A.
dc.creatorLiang, Chen 1989-
dc.date.accessioned2018-11-30T15:20:11Z
dc.date.available2018-11-30T15:20:11Z
dc.date.createdMay 2018
dc.date.issued2018-05
dc.date.submittedMay 2018
dc.date.updated2018-11-30T15:20:11Z
dc.description.abstractVarious post-processing methods can be applied to seismic data to extend spectral bandwidth for resolution enhancement. Frequency-invention techniques produce spectrally-broadened seismic sections but arbitrarily create high frequencies without a physical basis, and thus, do not improve actual seismic resolution. On the other hand, under the assumption of sparsity, layer frequency responses can be extrapolated to frequencies outside the band of the original data using spectral periodicities determined from within the original seismic bandwidth. This can be accomplished by harmonic extrapolation. For blocky-earth structures, synthetic tests show that such spectral extrapolation can readily double the bandwidth, even in the presence of noise. Wedge models illustrate the resulting resolution enhancement. Tests of the frequency-invention methods and harmonic extrapolation on field-seismic data demonstrate that the frequency-invention methods modify the original seismic band such that the original data cannot be recovered by simple bandpass filtering, while harmonic extrapolation can be filtered back to the original band with good fidelity. Harmonic extrapolation exhibits acceptable ties between real and synthetic seismic data outside the original seismic band, while the frequency-invention methods have unfavorable well ties in the cases studied. Based upon sparse inversion, any seismogram can be decomposed according to the size of the inverted reflection coefficients producing the seismogram. Reflection coefficients can be sorted by the amplitudes and new seismic traces can be created including only reflection coefficients within certain amplitude ranges. By this reflectivity decomposition, subtle impedance variations occurring beneath nearby strong reflectors can be revealed seismically when only events caused by small reflection coefficients are passed. Doing impedance inversion on the weak-reflectivity trace shows impedance anomalies better than when weak events are covered by a nearby strong reflector. Amplitude maps for Canyon and Cisco formations in the Midland basin demonstrate that the prospective events can map out geologically better on the volume of weak-reflectivity traces, providing greatly improved visualization for the porous zones that are hidden in the original seismic data. Furthermore, quantitative analysis suggests that seismic attributes derived from reflectivity decomposition provide significantly improved correlation to the actual rock properties at well locations.
dc.description.departmentEarth and Atmospheric Sciences, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10657/3426
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectSpectral extension
dc.subjectReflectivity decomposition
dc.titleSeismic Spectral Bandwidth Extension and Reflectivity Decomposition
dc.type.dcmiText
dc.type.genreThesis
local.embargo.lift2020-05-01
local.embargo.terms2020-05-01
thesis.degree.collegeCollege of Natural Sciences and Mathematics
thesis.degree.departmentEarth and Atmospheric Sciences, Department of
thesis.degree.disciplineGeophysics
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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