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    Parsimonious refraction interferometry

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    Type
    Conference Paper
    Authors
    Hanafy, Sherif
    Schuster, Gerard T. cc
    KAUST Department
    Center for Subsurface Imaging and Fluid Modeling
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2016-09
    Online Publication Date
    2016-09
    Print Publication Date
    2016-09
    Permanent link to this record
    http://hdl.handle.net/10754/626425
    
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    Abstract
    We present parsimonious refraction interferometry where a densely populated refraction data set can be obtained from just two shot gathers. The assumptions are that the first arrivals are comprised of head waves and direct waves, and a pair of reciprocal shot gathers is recorded over the line of interest. The refraction traveltimes from these reciprocal shot gathers can be picked and decomposed into O(N2) refraction traveltimes generated by N virtual sources, where N is the number of geophones in the 2D survey. This enormous increase in the number of virtual traveltime picks and associated rays, compared to the 2N traveltimes from the two reciprocal shot gathers, allows for increased model resolution and better condition numbers in the normal equations. Also, a reciprocal survey is far less time consuming than a standard refraction survey with a dense distribution of sources.
    Citation
    Hanafy S, Schuster G (2016) Parsimonious refraction interferometry. SEG Technical Program Expanded Abstracts 2016. Available: http://dx.doi.org/10.1190/segam2016-13688399.1.
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2016
    Conference/Event name
    SEG International Exposition and 86th Annual Meeting, SEG 2016
    DOI
    10.1190/segam2016-13688399.1
    Additional Links
    http://library.seg.org/doi/10.1190/segam2016-13688399.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2016-13688399.1
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Center for Subsurface Imaging and Fluid Modeling (CSIM)

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