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Skip to Search Results- 17Sacchi, Mauricio (Physics)
- 2Le, Lawrence (Radiology & Diagnostic Imaging)
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- 1Le, Lawrence (Radiology and Diagnostic Imaging)
- 2Chen, Ke
- 1Alemie, Wubshet M.
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Regularization of the AVO inverse problem by means of a multivariate Cauchy probability distribution
DownloadSpring 2010
Amplitude Variation with O set (AVO) inversion is one of the techniques that is being used to estimate subsurface physical parameters such as P-wave velocity, S-wave velocity, and density or their attributes. AVO inversion is an ill-conditioned problem which has to be regularized in order to...
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Fall 2010
The reflection seismic experiment results in a measurement(reflection seismic data) of the seismic wavefield. The linear Born approximation to the seismic wavefield leads to a forward modelling operator that we use to approximate reflection seismic data in terms of a scattering potential. We...
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Fall 2013
An important step of seismic data processing entails signal de-noising. Traditional de-noising methods assume Gaussian noise model and their performance degrades in the presence of erratic (non-Gaussian) noise. This thesis examines the problem of designing reduced-rank noise attenuation...
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Sparsity and Group Sparsity Constrained Inversion for Spectral Decomposition of Seismic Data
DownloadSpring 2012
Local time-frequency analysis, also known as spectral decomposition, allows for a more detailed interpretation of time-series by providing the evolution of the frequency spectrum through time and has proven to be a useful seismic attribute for exercises such as reservoir characterization. This...
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Fall 2020
The advent of modern supercomputers, in conjunction with larger, more comprehensive datasets, has led to a paradigm shift in seismic imaging. Full waveform inversion is routinely employed as a tool to estimate subsurface properties of the Earth with high resolution. The method fits simulated...
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The Singular Spectrum Analysis method and its application to seismic data denoising and reconstruction
DownloadFall 2010
Attenuating random and coherent noise is an important part of seismic data processing. Successful removal results in an enhanced image of the subsurface geology, which facilitate economical decisions in hydrocarbon exploration. This motivates the search for new and more efficient techniques for...
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Fall 2017
Historically seismic data processing has relied on the acoustic approximation to process single component data under the simplifying assumption that the recorded wavefield consists mainly of compressional wave modes. With the advancement of multicomponent seismic technology there is an increased...