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TitreWide-area imaging from OBS multiples
AuteurDash, R; Spence, G; Hyndman, R; Grion, S; Wang, Y; Ronen, S
SourceGeophysics vol. 74, no. 6, 2009 p. Q41-Q47, https://doi.org/10.1190/1.3223623
Année2009
Séries alt.Secteur des sciences de la Terre, Contribution externe 20080310
ÉditeurSociety of Exploration Geophysicists
Documentpublication en série
Lang.anglais
DOIhttps://doi.org/10.1190/1.3223623
Mediapapier; en ligne; numérique
Formatspdf
ProvinceRégion extracotière de l'ouest
Lat/Long OENS-127.0000 -126.8000 48.7667 48.6333
Sujetslevés géophysiques; levés sismiques; modèles sismiques; ondes sismiques; méthodes sismiques; études de réflexion; levés de reflexion sismiques; géologie marine; géophysique
Illustrationslocation maps; seismic profiles
ProgrammeLes hydrates de gaz - carburant de l'avenir?
Résumé(disponible en anglais seulement)
The subseafloor structure offshore western Canada was imaged using first-order water-layer multiples from oceanbottom seismometer (OBS) data and the results were compared to conventional imaging using primary reflections. This multiple-migration (mirror-imaging) method uses the downgoing pressure wavefield just above the seafloor, which is devoid of any primary reflections but consists of receiverside ghosts of these primary reflections. The mirror-imaging method employs a primaries-only Kirchhoff prestack depth migration algorithm to image the receiver ghosts. The additional travel path of the multiples through the water layer is accounted for by a simple manipulation of the velocity model and processing datum: the receivers lie not on the seabed but on a sea surface twice as high as the true water column. Migration results show that the multiple-migrated image provides a much broader illumination of the subsurface than is
possible for conventional imaging using the primaries, especially for the very shallow reflections and sparse OBS spacing. The resulting image from mirror imaging has illumination comparable to the vertical incidence surface streamer (single-channel) reflection data.
GEOSCAN ID225622