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Seismic imaging and processing with curvelets

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Title: Seismic imaging and processing with curvelets
Author: Herrmann, Felix J.; Hennenfent, Gilles; Moghaddam, Peyman P.
Subject Keywords subsalt;sub-salt;seismic data regularization;seismic amplitude recovery;primary multiple separation;wave front detection;curvelet;invariance;sparsity;CRSI;Migration amplitude recovery:;wavefront
Issue Date: 2007
Publicly Available in cIRcle 2008-03-10
Publisher European Association of Geoscientists & Engineers
Citation: Herrmann, Felix J., Hennefent, Gilles, Moghaddam, Peyman P.
Abstract: In this paper, we present a nonlinear curvelet-based sparsity-promoting formulation for three problems in seismic processing and imaging namely, seismic data regularization from data with large percentages of traces missing; seismic amplitude recovery for subsalt images obtained by reverse-time migration and primary-multiple separation, given an inaccurate multiple prediction. We argue why these nonlinear formulations are beneficial.
Affiliation: Science, Faculty ofEarth and Ocean Sciences, Department of
URI: http://hdl.handle.net/2429/552
Peer Review Status: Unreviewed
Scholarly Level: Faculty

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