In this abstract, we present a novel primary-multiple separation scheme which makes use of the sparsity of both primaries and multiples in a transform domain, such as the curvelet transform, to provide estimates of each. The proposed algorithm utilizes seismic data as well as the output of a preliminary step that provides (possibly) erroneous predictions of the multiples. The algorithm separate...

Résumé Nous présentons des solutions algorithmiques pour deux problèmes liés à l’interférence de réseau sans fil. D’abord on propose de ordonnancer les liens d’un ensemble de routes données en vertu de l’hypothèse d’un modèle à fort trafic. Nous considérons un protocole TDMA qu’offre une source d’intervalles de temps synchronisés et cherchent à ordonnancer les itinéraires des liens afin de maxi...

Standard model-based redatuming techniques consist in applying time shifts to the surface data, to simulate an acquisition made at depth. The time shifts are computed using prior knowledge of the overburden, such as a macro velocity model. These techniques allow focusing of the direct waves at the new datum, but the focus can be degraded because of surface multiples and internal multiples in th...

Three multiple attenuation techniques are tested on a Gulf of Mexico dataset. These methods are (1) a hyperbolic Radon transform followed by a mute (2), the Delft approach and (3), a pattern-based technique. The Radon transform separates multiples and primaries according to their moveout. The Delft approach models the multiples and subtracts them by estimating adaptive filters. The pattern-base...