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.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:BVAU.2429/557 |
| Date | January 2007 |
| Creators | Herrmann, Felix J., Wang, Deli, Hennenfent, Gilles, Moghaddam, Peyman P. |
| Publisher | Society of Exploration Geophysicists |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | text |
| Rights | Herrmann, Felix J. |
Page generated in 0.0017 seconds