Near-surface fault detection by migrating back-scattered surface waves with and without velocity profiles

Handle URI:
http://hdl.handle.net/10754/608625
Title:
Near-surface fault detection by migrating back-scattered surface waves with and without velocity profiles
Authors:
Yu, Han; Huang, Yunsong; Guo, Bowen
Abstract:
We demonstrate that diffraction stack migration can be used to discover the distribution of near-surface faults. The methodology is based on the assumption that near-surface faults generate detectable back-scattered surface waves from impinging surface waves. We first isolate the back-scattered surface waves by muting or FK filtering, and then migrate them by diffraction migration using the surface wave velocity as the migration velocity. Instead of summing events along trial quasi-hyperbolas, surface wave migration sums events along trial quasi-linear trajectories that correspond to the moveout of back-scattered surface waves. We have also proposed a natural migration method that utilizes the intrinsic traveltime property of the direct and the back-scattered waves at faults. For the synthetic data sets and the land data collected in Aqaba, where surface wave velocity has unexpected perturbations, we migrate the back-scattered surface waves with both predicted velocity profiles and natural Green's function without velocity information. Because the latter approach avoids the need for an accurate velocity model in event summation, both the prestack and stacked migration images show competitive quality. Results with both synthetic data and field records validate the feasibility of this method. We believe applying this method to global or passive seismic data can open new opportunities in unveiling tectonic features.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Near-surface fault detection by migrating back-scattered surface waves with and without velocity profiles 2016, 130:81 Journal of Applied Geophysics
Publisher:
Elsevier BV
Journal:
Journal of Applied Geophysics
Issue Date:
26-Apr-2016
DOI:
10.1016/j.jappgeo.2016.04.013
Type:
Article
ISSN:
09269851
Sponsors:
We thank the sponsors of the CSIM Consortium (http://csim.kaust.edu.sa/web/) for their support. We also thank Prof. Gerard T. Schuster and anonymous CSIM members for their efforts and comments in the development of this work. This work is also sponsored by the National Natural Science Fund of China (Grant Nos.: 11501302, 61571238, 61571233, 61501250, 61502247), the Natural Science Foundation for Young Scientists of Jiangsu Province (Grant No.: BK20150856, BK20140879), and the Scientific Research Foundation of Nanjing University of Posts and Telecommunications (NUPTSF, Grant No.: NY214170).
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S0926985116301136
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorYu, Hanen
dc.contributor.authorHuang, Yunsongen
dc.contributor.authorGuo, Bowenen
dc.date.accessioned2016-05-09T07:48:46Zen
dc.date.available2016-05-09T07:48:46Zen
dc.date.issued2016-04-26en
dc.identifier.citationNear-surface fault detection by migrating back-scattered surface waves with and without velocity profiles 2016, 130:81 Journal of Applied Geophysicsen
dc.identifier.issn09269851en
dc.identifier.doi10.1016/j.jappgeo.2016.04.013en
dc.identifier.urihttp://hdl.handle.net/10754/608625en
dc.description.abstractWe demonstrate that diffraction stack migration can be used to discover the distribution of near-surface faults. The methodology is based on the assumption that near-surface faults generate detectable back-scattered surface waves from impinging surface waves. We first isolate the back-scattered surface waves by muting or FK filtering, and then migrate them by diffraction migration using the surface wave velocity as the migration velocity. Instead of summing events along trial quasi-hyperbolas, surface wave migration sums events along trial quasi-linear trajectories that correspond to the moveout of back-scattered surface waves. We have also proposed a natural migration method that utilizes the intrinsic traveltime property of the direct and the back-scattered waves at faults. For the synthetic data sets and the land data collected in Aqaba, where surface wave velocity has unexpected perturbations, we migrate the back-scattered surface waves with both predicted velocity profiles and natural Green's function without velocity information. Because the latter approach avoids the need for an accurate velocity model in event summation, both the prestack and stacked migration images show competitive quality. Results with both synthetic data and field records validate the feasibility of this method. We believe applying this method to global or passive seismic data can open new opportunities in unveiling tectonic features.en
dc.description.sponsorshipWe thank the sponsors of the CSIM Consortium (http://csim.kaust.edu.sa/web/) for their support. We also thank Prof. Gerard T. Schuster and anonymous CSIM members for their efforts and comments in the development of this work. This work is also sponsored by the National Natural Science Fund of China (Grant Nos.: 11501302, 61571238, 61571233, 61501250, 61502247), the Natural Science Foundation for Young Scientists of Jiangsu Province (Grant No.: BK20150856, BK20140879), and the Scientific Research Foundation of Nanjing University of Posts and Telecommunications (NUPTSF, Grant No.: NY214170).en
dc.language.isoenen
dc.publisherElsevier BVen
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0926985116301136en
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Journal of Applied Geophysics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Applied Geophysics, 26 April 2016. DOI: 10.1016/j.jappgeo.2016.04.013en
dc.subjectBack-scattered surface wavesen
dc.subjectMigrationen
dc.subjectFault detectionen
dc.subjectVelocityen
dc.subjectNatural Green's functionen
dc.titleNear-surface fault detection by migrating back-scattered surface waves with and without velocity profilesen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalJournal of Applied Geophysicsen
dc.eprint.versionPost-printen
dc.contributor.institutionSchool of Computer Science and Technology, Nanjing University of Posts & Telecommunications, Nanjing 210023, Chinaen
dc.contributor.institutionSubsurface Imaging, CGG, Houston, USAen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorGuo, Bowenen
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