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Acoustic and elastic least-squares two-way wave equation migration with exact adjoint operator
DownloadSpring 2017
A major problem in exploration seismology entails estimating subsurface structures and properties via linearized inversion. The problem is often called ''least-squares migration" where seismic imaging is posed as an iterative least-squares problem. The iterative solution employs the method of...
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Efficient algorithms for least squares wave equation migration and source signature estimation
DownloadFall 2017
Estimating accurate images of the subsurface is one of the end products of seismic data processing. Numerical solutions to the wave equation allow designing linearized forward operators. The adjoint of the linearized forward operator is used to image the interior of the earth. The adjoint...
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Fall 2020
This thesis proposes a framework for ground roll removal based on regularized inversion. Both ground roll and reflections are represented in the frequency-space (f - x) domain as a linear function of unknown complex amplitudes. An inversion algorithm is developed to estimate the coefficients that...
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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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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...