KUKU

KU ScholarWorks

  • myKU
  • Email
  • Enroll & Pay
  • KU Directory
    • Login
    View Item 
    •   KU ScholarWorks
    • Dissertations and Theses
    • Theses
    • View Item
    •   KU ScholarWorks
    • Dissertations and Theses
    • Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Parallel-line beamsteering for enhanced anomaly detection

    Thumbnail
    View/Open
    Livers_ku_0099M_14554_DATA_1.pdf (8.359Mb)
    Issue Date
    2016-05-31
    Author
    Livers, Amanda Jordan
    Publisher
    University of Kansas
    Format
    95 pages
    Type
    Thesis
    Degree Level
    M.S.
    Discipline
    Geology
    Rights
    Copyright held by the author.
    Metadata
    Show full item record
    Abstract
    Parallel-line beamsteering, a new seismic processing method, was developed to enhance signal from laterally continuous heterogeneities (e.g. tunnel, mine shaft, etc.) and attenuate scatter from localized non-laterally contiguous heterogeneities (e.g. clay lens, boulder, etc.). This method takes advantage of the linear cross line nature of potential targets. Parallel-line beamsteering applies spatial shifting and vertical stacking to parallel-line seismic data in combination with backscatter analysis of surface waves (BASW) and diffraction imaging processing. A processing flow that optimizes the stack and shift process was empirically determined using the standard BASW and diffraction imaging processing flows. This empirically established processing flow was evaluated on parallel-line data acquired at a tunnel test site at the Yuma Proving Grounds in southwestern Arizona. Results show that this method enhances signal from the tunnel by as much 2.8 dB and attenuates other scatter events by as much as 3.9 dB. Beamsteering analysis also reduced the number of possible tunnel locations interpreted from diffraction imaging results using standard interpretation based on spatial matching criteria by up to 66% and from the BASW imaging results by up to 50%. Interpreting results of parallel-line beamsteering requires a less skilled interpretation than conventional tunnel detection methods. This method can also be used to determine the orientation of a tunnel with respect to the two seismic lines. Additionally, this method maintains the small acquisition footprint of current 2D seismic methods required for tunnel detection applications.
    URI
    http://hdl.handle.net/1808/21867
    Collections
    • Geology Dissertations and Theses [147]
    • Theses [3710]

    Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.


    We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.


    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

    Browse

    All of KU ScholarWorksCommunities & CollectionsThis Collection

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

    The University of Kansas
      Contact KU ScholarWorks
    Lawrence, KS | Maps
     
    • Academics
    • Admission
    • Alumni
    • Athletics
    • Campuses
    • Giving
    • Jobs

    The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression and genetic information in the University’s programs and activities. The following person has been designated to handle inquiries regarding the non-discrimination policies: Director of the Office of Institutional Opportunity and Access, IOA@ku.edu, 1246 W. Campus Road, Room 153A, Lawrence, KS, 66045, (785)864-6414, 711 TTY.

     Contact KU
    Lawrence, KS | Maps