• Login
    View Item 
    •   Home
    • Theses & Dissertations
    • 2017 - Mines Theses & Dissertations
    • View Item
    •   Home
    • Theses & Dissertations
    • 2017 - Mines Theses & Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Mines RepositoryCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjects

    My Account

    Login

    Mines Links

    Arthur Lakes LibraryColorado School of Mines

    Statistics

    Display Statistics

    Application of the seismic quality factor versus offset and azimuth (QVOA) for fractured reservoir characterization

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    AvilaVizuett_mines_0052N_11194.pdf
    Size:
    3.742Mb
    Format:
    PDF
    Download
    Author
    Avila Vizuett, Karla Cecilia
    Advisor
    Davis, Thomas L. (Thomas Leonard), 1947-
    Date issued
    2017
    Keywords
    implementation and application
    offset and azimuth
    seismic quality factor
    naturally fractured reservoirs
    fracture characterization
    seismic attenuation
    
    Metadata
    Show full item record
    URI
    https://hdl.handle.net/11124/170674
    Abstract
    Fracture characterization of a reservoir is very important because the presence of fractures determines the flow of hydrocarbons during production. Accurate modeling of the fracture network can help in optimizing the production of the reservoir. Fractures affect the amplitudes of the seismic waves, therefore, seismic attenuation is used to determine their characteristics. Here, I use a new technique called QVOA which involves the evaluation of the seismic attenuation and its variation with offset (O), and azimuth (A). Variation of seismic attenuation from QVOA methodologies can help in determining fracture characteristics where conventional methods fail. The QVOA method is a two step process where seismic attenuation is computed first and then its variation is determined with respect to offset and azimuth. I compute seismic attenuation using four different techniques based on the spectral ratio and frequency-shift methods. The variation with respect to offset and azimuth is determined using approximate method of sectors (ASM) and approximate truncate method (ATM). Orientation and the B-gradient of the fracture characteristics are obtained using this QVOA technique. I apply this QVOA technique to 3D seismic data acquired over the Gulf of Mexico region where the target is a naturally fractured carbonate reservoir. Fracture orientation in the reservoir region obtained using the QVOA technique are verified with well log data. Finally, a comparative analysis of different techniques of seismic attenuation computation is provided, where the frequency-shift methods perform better than the spectral ratio method, and are more stable in the presence of noise. Variation of the B-gradient versus the azimuth suggests the presence of attenuation anisotropy in this reservoir.
    Rights
    Copyright of the original work is retained by the author.
    Collections
    2017 - Mines Theses & Dissertations

    entitlement

     
    DSpace software (copyright © 2002 - 2022)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.