Application of super-virtual seismic refraction interferometry to enhance first arrivals: A case study from Saudi Arabia

Handle URI:
http://hdl.handle.net/10754/555634
Title:
Application of super-virtual seismic refraction interferometry to enhance first arrivals: A case study from Saudi Arabia
Authors:
Alshuhail, Abdulrahman Abdullatif Abdulrahman; Aldawood, Ali ( 0000-0002-9535-0825 ) ; Hanafy, Sharif
Abstract:
Complex near-surface anomalies are one of the main onshore challenges facing seismic data processors. Refraction tomography is becoming a common technology to estimate an accurate near-surface velocity model. This process involves picking the first arrivals of refracted waves. One of the main challenges with refraction tomography is the low signal-to-noise ratio characterizing the first-break waveform arrivals, especially for the far-offset receivers. This is especially evident in data recorded using reflection acquisition geometry. This low signal-to-noise ratio is caused by signal attenuation due to geometrical spreading of the seismic wavefield, near-surface-generated noise, and amplitude absorption. Super-virtual refraction interferometry improves the quality of the first-break picks by enhancing the amplitude of the refracted waves and attenuating the amplitude of the random noise.
KAUST Department:
Earth Science and Engineering Program; Physical Sciences and Engineering (PSE) Division
Citation:
Application of super-virtual seismic refraction interferometry to enhance first arrivals: A case study from Saudi Arabia 2012, 31 (1):34 The Leading Edge
Publisher:
Society of Exploration Geophysicists
Journal:
The Leading Edge
Issue Date:
Jan-2012
DOI:
10.1190/1.3679326
Type:
Article
ISSN:
1070-485X; 1938-3789
Additional Links:
http://library.seg.org/doi/abs/10.1190/1.3679326
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorAlshuhail, Abdulrahman Abdullatif Abdulrahmanen
dc.contributor.authorAldawood, Alien
dc.contributor.authorHanafy, Sharifen
dc.date.accessioned2015-05-25T07:58:08Zen
dc.date.available2015-05-25T07:58:08Zen
dc.date.issued2012-01en
dc.identifier.citationApplication of super-virtual seismic refraction interferometry to enhance first arrivals: A case study from Saudi Arabia 2012, 31 (1):34 The Leading Edgeen
dc.identifier.issn1070-485Xen
dc.identifier.issn1938-3789en
dc.identifier.doi10.1190/1.3679326en
dc.identifier.urihttp://hdl.handle.net/10754/555634en
dc.description.abstractComplex near-surface anomalies are one of the main onshore challenges facing seismic data processors. Refraction tomography is becoming a common technology to estimate an accurate near-surface velocity model. This process involves picking the first arrivals of refracted waves. One of the main challenges with refraction tomography is the low signal-to-noise ratio characterizing the first-break waveform arrivals, especially for the far-offset receivers. This is especially evident in data recorded using reflection acquisition geometry. This low signal-to-noise ratio is caused by signal attenuation due to geometrical spreading of the seismic wavefield, near-surface-generated noise, and amplitude absorption. Super-virtual refraction interferometry improves the quality of the first-break picks by enhancing the amplitude of the refracted waves and attenuating the amplitude of the random noise.en
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttp://library.seg.org/doi/abs/10.1190/1.3679326en
dc.rightsArchived with thanks to The Leading Edgeen
dc.titleApplication of super-virtual seismic refraction interferometry to enhance first arrivals: A case study from Saudi Arabiaen
dc.typeArticleen
dc.contributor.departmentEarth Science and Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalThe Leading Edgeen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionEXPEC Advanced Research Center, Saudi Aramcoen
kaust.authorAlshuhail, Abdulrahman Abdullatif Abdulrahmanen
kaust.authorAldawood, Alien
kaust.authorHanafy, Sherif M.en
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