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Recent results in curvelet-based primary-multiple separation: application to real data Wang, Deli; Saab, Rayan; Yilmaz, Ozgur; Herrmann, Felix J.

Abstract

In this abstract, we present a nonlinear curvelet-based sparsitypromoting formulation for the primary-multiple separation problem. We show that these coherent signal components can be separated robustly by explicitly exploting the locality of curvelets in phase space (space-spatial frequency plane) and their ability to compress data volumes that contain wavefronts. This work is an extension of earlier results and the presented algorithms are shown to be stable under noise and moderately erroneous multiple predictions.

Item Metadata

Title
Recent results in curvelet-based primary-multiple separation: application to real data
Creator
Wang, Deli; Saab, Rayan; Yilmaz, Ozgur; Herrmann, Felix J.
Contributor
University of British Columbia. Seismic Laboratory for Imaging and Modeling
Publisher
Society of Exploration Geophysicists
Date Issued
2007
Description
In this abstract, we present a nonlinear curvelet-based sparsitypromoting formulation for the primary-multiple separation problem. We show that these coherent signal components can be separated robustly by explicitly exploting the locality of curvelets in phase space (space-spatial frequency plane) and their ability to compress data volumes that contain wavefronts. This work is an extension of earlier results and the presented algorithms are shown to be stable under noise and moderately erroneous multiple predictions.
Extent
791808 bytes
Subject
Primary multiple separation; Curvelets; Phase space; Space-spatial frequency plane; Compression; Wavefronts; SRME; Nonlinear signal separation
Genre
Conference Paper
Type
Text
File Format
application/pdf
Language
eng
Date Available
2008-03-11
Provider
Vancouver : University of British Columbia Library
Rights
All rights reserved
DOI
10.14288/1.0107415
URI
http://hdl.handle.net/2429/565
Affiliation
Science, Faculty of; Earth and Ocean Sciences, Department of
Citation
Wang, Deli, Saab, Rayan, Yilmaz, Ozgur, Herrmann, Felix J. 2007. Recent results in curvelet-based primary-multiple separation: application to real data. SEG International Exposition and 77th Annual Meeting.
Peer Review Status
Unreviewed
Scholarly Level
Graduate; Faculty
Copyright Holder
Herrmann, Felix J.
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