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Seismic data processing with curvelets: a multiscale and nonlinear approach. Herrmann, Felix J.; Wang, Deli; Hennenfent, Gilles; Moghaddam, Peyman P.
Abstract
In this abstract, we present a nonlinear curvelet-based sparsity promoting
formulation of a seismic processing flow, consisting
of the following steps: seismic data regularization and
the restoration of migration amplitudes. We show that the
curvelet’s wavefront detection capability and invariance under
the migration-demigration operator lead to a formulation that
is stable under noise and missing data.
Item Metadata
| Title |
Seismic data processing with curvelets: a multiscale and nonlinear approach.
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| Creator | |
| Contributor | |
| Publisher |
Society of Exploration Geophysicists
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| Date Issued |
2007
|
| Description |
In this abstract, we present a nonlinear curvelet-based sparsity promoting
formulation of a seismic processing flow, consisting
of the following steps: seismic data regularization and
the restoration of migration amplitudes. We show that the
curvelet’s wavefront detection capability and invariance under
the migration-demigration operator lead to a formulation that
is stable under noise and missing data.
|
| Extent |
893252 bytes
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| Subject | |
| Genre | |
| Type | |
| File Format |
application/pdf
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| Language |
eng
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| Date Available |
2008-03-10
|
| Provider |
Vancouver : University of British Columbia Library
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| Rights |
All rights reserved
|
| DOI |
10.14288/1.0107410
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| URI | |
| Affiliation | |
| Citation |
Herrmann,Felix J.,Wang, Deli, Hennenfent, Gilles, Moghaddam, Peyman P. 2007. Seismic data processing with curvelets: a multiscale and nonlinear approach. SEG International Exposition and 77th Annual Meeting.
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| Peer Review Status |
Unreviewed
|
| Scholarly Level |
Faculty; Graduate; Other
|
| Copyright Holder |
Herrmann, Felix J.
|
| Aggregated Source Repository |
DSpace
|
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Rights
All rights reserved