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dc.contributor.authorHanafy, Sherif
dc.contributor.authorSchuster, Gerard T.
dc.date.accessioned2017-03-06T11:13:35Z
dc.date.available2017-03-06T11:13:35Z
dc.date.issued2017-02-03
dc.identifier.citationHanafy S, Schuster GT (2017) Parsimonious Refraction Interferometry and Tomography. Geophysical Journal International. Available: http://dx.doi.org/10.1093/gji/ggx042.
dc.identifier.issn0956-540X
dc.identifier.issn1365-246X
dc.identifier.doi10.1093/gji/ggx042
dc.identifier.urihttp://hdl.handle.net/10754/622966
dc.description.abstractWe present parsimonious refraction interferometry and tomography where a densely populated refraction data set can be obtained from two reciprocal and several infill shot gathers. The assumptions are that the refraction arrivals are head waves, and a pair of reciprocal shot gathers and several infill shot gathers are recorded over the line of interest. Refraction traveltimes from these shot gathers are picked and spawned into O(N2) virtual refraction traveltimes generated by N virtual sources, where N is the number of geophones in the 2D survey. The virtual traveltimes can be inverted to give the velocity tomogram. This enormous increase in the number of traveltime picks and associated rays, compared to the many fewer traveltimes from the reciprocal and infill shot gathers, allows for increased model resolution and a better condition number with the system of normal equations. A significant benefit is that the parsimonious survey and the associated traveltime picking is far less time consuming than that for a standard refraction survey with a dense distribution of sources.
dc.publisherOxford University Press (OUP)
dc.relation.urlhttps://academic.oup.com/gji/article/2968008/Parsimonious
dc.rightsThis is a pre-copyedited, author-produced PDF of an article accepted for publication in Geophysical Journal International following peer review. The version of record is available online at: https://academic.oup.com/gji/article/2968008/Parsimonious.
dc.titleParsimonious Refraction Interferometry and Tomography
dc.typeArticle
dc.contributor.departmentCenter for Subsurface Imaging and Fluid Modeling
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalGeophysical Journal International
dc.eprint.versionPost-print
dc.contributor.institutionGeophysics Department, Faculty of Science, Cairo University, Egypt
kaust.personHanafy, Sherif
kaust.personSchuster, Gerard T.
refterms.dateFOA2018-06-13T16:54:16Z
dc.date.published-online2017-02-03
dc.date.published-print2017-05


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