Data-driven adaptive decomposition of multicomponent seabed recordings

Détails

ID Serval
serval:BIB_374C2986C687
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
Data-driven adaptive decomposition of multicomponent seabed recordings
Titre de la conférence
73rd SEG Annual Meeting, Dallas, Texas
Auteur(s)
Muijs R., Holliger K., Robertsson J.O.A.
Editeur
Society of Exploration Geophysicists
ISSN-L
1052-3812
Statut éditorial
Publié
Date de publication
2003
Pages
MC 4.8
Langue
anglais
Résumé
Multicomponent (pressure and three components of particle velocity)
data acquired at the seafloor allow the elastic wavefield to be decomposed
into its up- and downgoing P- and S-wave constituents. Most decomposition
algorithms require (i) accurate knowledge of the elastic properties
of the seafloor in the direct vicinity of the receivers and (ii)
properly calibrated sensors such that the data are a faithful vector
representation of the actual ground motion. We present a multistep
adaptive decomposition scheme with which the necessary information
can be obtained directly from the data by imposing adequate constraints
on intermediate results. A major advantage of the proposed scheme
is that there is no need for user-defined input or a priori information,
allowing multicomponent data to be decomposed in an automated data-driven
fashion.
Création de la notice
25/11/2013 19:28
Dernière modification de la notice
03/03/2018 16:04
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