Seismic data processing with curvelets: a multiscale and nonlinear approach. Herrmann, Felix J.; Wang, Deli; Hennenfent, Gilles; Moghaddam, Peyman P.
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 Citations and Data
All rights reserved