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    KFUPM-KAUST Red Sea model: Digital viscoelastic depth model and synthetic seismic data set

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    Type
    Article
    Authors
    Al-Shuhail, Abdullatif A.
    Mousa, Wail A.
    Alkhalifah, Tariq Ali cc
    KAUST Department
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Seismic Wave Analysis Group
    KAUST Grant Number
    EE002356
    Date
    2017-06-01
    Online Publication Date
    2017-06-01
    Print Publication Date
    2017-06
    Permanent link to this record
    http://hdl.handle.net/10754/624883
    
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    Abstract
    The Red Sea is geologically interesting due to its unique structures and abundant mineral and petroleum resources, yet no digital geologic models or synthetic seismic data of the Red Sea are publicly available for testing algorithms to image and analyze the area's interesting features. This study compiles a 2D viscoelastic model of the Red Sea and calculates a corresponding multicomponent synthetic seismic data set. The models and data sets are made publicly available for download. We hope this effort will encourage interested researchers to test their processing algorithms on this data set and model and share their results publicly as well.
    Citation
    Al-Shuhail AA, Mousa WA, Alkhalifah T (2017) KFUPM-KAUST Red Sea model: Digital viscoelastic depth model and synthetic seismic data set. The Leading Edge 36: 507–511. Available: http://dx.doi.org/10.1190/tle36060507.1.
    Sponsors
    We wish to thank King Abdullah University of Science and Technology (KAUST) for supporting this research under grant number EE002356. A.A. and W.M. thank King Fahd University of Petroleum and Minerals (KFUPM) for its continuous support.
    Publisher
    Society of Exploration Geophysicists
    Journal
    The Leading Edge
    DOI
    10.1190/tle36060507.1
    Additional Links
    http://library.seg.org/doi/10.1190/tle36060507.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/tle36060507.1
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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