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Curvelet-based migration amplitude recovery

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dc.contributor.author P. Moghaddam, Peyman
dc.date.accessioned 2010-05-04T17:27:36Z
dc.date.available 2010-05-04T17:27:36Z
dc.date.copyright 2010 en
dc.date.issued 2010-05-04T17:27:36Z
dc.identifier.uri http://hdl.handle.net/2429/24421
dc.description.abstract Migration can accurately locate reflectors in the earth but in most cases fails to correctly resolve their amplitude. This might lead to mis-interpretation of the nature of reflector. In this thesis, I introduced a method to accurately recover the amplitude of the seismic reflector. This method relies on a new transform-based recovery that exploits the expression of seismic images by the recently developed curvelet transform. The elements of this transform, called curvelets, are multi-dimensional, multi-scale, and multi-directional. They also remain approximately invariant under the imaging operator. I exploit these properties of the curvelets to introduce a method called Curvelet Match Filtering (CMF) for recovering the seismic amplitude in presence of noise in both migrated image and data. I detail the method and illustrate its performance on synthetic dataset. I also extend CMF formulation to other geophysical applications and present results on multiple removal. In addition of that, I investigate preconditioning of the migration which results to rapid convergence rate of the iterative method using migration. en
dc.language.iso eng en
dc.publisher University of British Columbia
dc.relation.ispartof Electronic Theses and Dissertations (ETDs) 2008+ en
dc.rights Attribution-NonCommercial 2.5 Canada
dc.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
dc.title Curvelet-based migration amplitude recovery en
dc.type Text
dc.degree.name Doctor of Philosophy - PhD en
dc.degree.discipline Geophysics en
dc.degree.grantor University of British Columbia
dc.date.graduation 2010-11 en
dc.type.text Thesis/Dissertation en
dc.description.affiliation Science, Faculty of
dc.degree.campus UBCV en
dc.description.scholarlevel Graduate en

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