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    Imaging normal faults in alluvial fans using geophysical techniques: Field example from the coast of Gulf of Aqaba, Saudi Arabia

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    Type
    Conference Paper
    Authors
    Hanafy, Sherif M.
    Jonsson, Sigurjon cc
    Klinger, Yann
    KAUST Department
    Crustal Deformation and InSAR Group
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2014-08-05
    Online Publication Date
    2014-08-05
    Print Publication Date
    2014-08-05
    Permanent link to this record
    http://hdl.handle.net/10754/593346
    
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    Abstract
    In this work we use geophysical methods to locate and characterize active faults in alluvial sediments. Since only subtle material and velocity contrasts are expected across the faults, we used seismic refraction tomography and 2D resistivity imaging to locate the fault. One seismic profile and one 2D resistivity profile are collected at an alluvial fan on the Gulf of Aqaba coast in Saudi Arabia. The collected data are inverted to generate the traveltime tomogram and the electric resistivity tomogram (ERT). A low velocity anomaly is shown on the traveltime tomogram indicates the colluvial wedge associated with the fault. The location of the fault is shown on the ERT as a vertical high resistivity anomaly.
    Citation
    Hanafy*, S. M., Jonsson, S., & Klinger, Y. (2014). Imaging normal faults in alluvial fans using geophysical techniques: Field example from the coast of Gulf of Aqaba, Saudi Arabia. SEG Technical Program Expanded Abstracts 2014. doi:10.1190/segam2014-1007.1
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2014
    Conference/Event name
    SEG Technical Program Expanded Abstracts 2014
    DOI
    10.1190/segam2014-1007.1
    Additional Links
    http://library.seg.org/doi/abs/10.1190/segam2014-1007.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2014-1007.1
    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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