English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/39531
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Local Time Slowness Adaptive Filter and Optimal Window Strategies

AuthorsVentosa, Sergio ; Simon, Carine ; Schimmel, Martin
Issue DateJun-2010
Citation72nd EAGE Conference & Exhibition incorporating SPE EUROPEC (2010)
AbstractThe local slant-stack transform (LSST) is a technique commonly used in seismic data processing to filter complex seismic waves, when the τ-p transform and the f-k filters cannot be used. To automatically adapt the characteristics of the filters based on the LSST to the slowness variation of the wavefronts in seismic profiles these filters are usually combined with an instantaneous slowness estimator. To make an objective design, we analyze the relation between the slowness resolution, the window parameters and the main frequency components of the waves to employ the most suitable windows in order to achieve an optimum slowness and space resolutions. We further validate this design procedure with two synthetic examples
Description5 páginas, 3 figuras.-- Comunicación presentada a la 72nd EAGE Conference & Exhibition incorporating SPE EUROPEC 2010, 14-17 June 2010, Barcelona, Spain
Appears in Collections:(UTM) Comunicaciones congresos
(ICTJA) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
Ventosa_et_al_2010.pdf1,05 MBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.