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Surface related multiple prediction from incomplete data

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Title: Surface related multiple prediction from incomplete data
Author: Herrmann, Felix J.
Subject Keywords wavefield de-focusing;wavefield defocusing;weighted convolutions;weighted correlations,;curvelet based recovery;sparsity promoting inversion;wavefield focusing;curvelet transform
Issue Date: 2007
Publicly Available in cIRcle 2008-03-10
Publisher European Association of Geoscientists & Engineers
Citation: Herrmann, Felix J. 2007. Surface related multiple prediction from incomplete data. EAGE 69th Conference & Exhibition.
Abstract: Incomplete data, unknown source-receiver signatures and free-surface reflectivity represent challenges for a successful prediction and subsequent removal of multiples. In this paper, a new method will be represented that tackles these challenges by combining what we know about wavefield (de-)focussing, by weighted convolutions/correlations, and recently developed curvelet-based recovery by sparsity-promoting inversion (CRSI). With this combination, we are able to leverage recent insights from wave physics towards a nonlinear formulation for the multiple-prediction problem that works for incomplete data and without detailed knowledge on the surface effects.
Affiliation: Science, Faculty ofEarth and Ocean Sciences, Department of
URI: http://hdl.handle.net/2429/551
Peer Review Status: Unreviewed
Scholarly Level: Faculty

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