Non-local means filter for trim statics

Handle URI:
http://hdl.handle.net/10754/593343
Title:
Non-local means filter for trim statics
Authors:
Huang, Yunsong; Wang, Xin; Schuster, Gerard T. ( 0000-0001-7532-1587 )
Abstract:
Structures will be mispositioned across prestack migration gathers in the presence of inaccuracies in the velocity model. Stacking these misaligned gathers runs the risk of destroying important structures in the stacked migration image. To mitigate this problem, we propose a trim statics inspired by the non-local means algorithm originally developed for image denoising. This method differs from the conventional one in two fundamental respects. First, the trim statics are computed by comparing image patches instead of individual image traces. Second, no global pilot trace is needed because only two migration images at a time participate in trim statics and are stacked into one image. A multitude of migration images are stacked recursively in this two-to-one fashion. Tests with a Gulf of Mexico dataset show a noticeable improvement in the feature coherency of the stacked migration image.
KAUST Department:
Earth Science and Engineering Program; Physical Sciences and Engineering (PSE) Division
Publisher:
Society of Exploration Geophysicists
Journal:
SEG Technical Program Expanded Abstracts 2014
Conference/Event name:
SEG Technical Program Expanded Abstracts 2014
Issue Date:
5-Aug-2014
DOI:
10.1190/segam2014-0352.1
Type:
Conference Paper
Additional Links:
http://library.seg.org/doi/abs/10.1190/segam2014-0352.1
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorHuang, Yunsongen
dc.contributor.authorWang, Xinen
dc.contributor.authorSchuster, Gerard T.en
dc.date.accessioned2016-01-13T09:48:07Zen
dc.date.available2016-01-13T09:48:07Zen
dc.date.issued2014-08-05en
dc.identifier.doi10.1190/segam2014-0352.1en
dc.identifier.urihttp://hdl.handle.net/10754/593343en
dc.description.abstractStructures will be mispositioned across prestack migration gathers in the presence of inaccuracies in the velocity model. Stacking these misaligned gathers runs the risk of destroying important structures in the stacked migration image. To mitigate this problem, we propose a trim statics inspired by the non-local means algorithm originally developed for image denoising. This method differs from the conventional one in two fundamental respects. First, the trim statics are computed by comparing image patches instead of individual image traces. Second, no global pilot trace is needed because only two migration images at a time participate in trim statics and are stacked into one image. A multitude of migration images are stacked recursively in this two-to-one fashion. Tests with a Gulf of Mexico dataset show a noticeable improvement in the feature coherency of the stacked migration image.en
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttp://library.seg.org/doi/abs/10.1190/segam2014-0352.1en
dc.subjectleast squaresen
dc.subjectmigrationen
dc.subjectprestacken
dc.subjectstackingen
dc.subjectvelocityen
dc.titleNon-local means filter for trim staticsen
dc.typeConference Paperen
dc.contributor.departmentEarth Science and Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalSEG Technical Program Expanded Abstracts 2014en
dc.conference.nameSEG Technical Program Expanded Abstracts 2014en
dc.eprint.versionPublisher's Version/PDFen
kaust.authorHuang, Yunsongen
kaust.authorWang, Xinen
kaust.authorSchuster, Gerard T.en
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.