• Login
    View Item 
    •   Home
    • Theses & Dissertations
    • 2012 - Mines Theses & Dissertations
    • View Item
    •   Home
    • Theses & Dissertations
    • 2012 - 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

    Spectral decomposition applied to time-lapse multicomponent seismic interpretation at Postle Field, Texas County, Oklahoma

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Min_mines_0052N_10017.pdf
    Size:
    21.03Mb
    Format:
    PDF
    Description:
    Spectral decomposition applied ...
    Download
    Author
    Min, Xinhui
    Advisor
    Davis, Thomas L. (Thomas Leonard), 1947-
    Date issued
    2012
    Date submitted
    2012
    Keywords
    seismic Interpretation
    multicomponent
    spectral decomposition
    time-Lapse
    Seismic prospecting -- Oklahoma
    Seismic refraction method
    Hydrocarbon reservoirs -- Mathematical models
    Numerical analysis
    
    Metadata
    Show full item record
    URI
    https://hdl.handle.net/11124/76810
    Abstract
    The Reservoir Characterization Project (RCP) at the Colorado School of Mines acquired three 9-C, 3-D time-lapse surveys over an area of 6.25 square miles in the Hovey Morrow Unit of Postle Field, Texas County, Oklahoma from March 2008 to February 2010. The investigation focuses on the use of multicomponent seismic data to characterize the Morrow A sandstone in the Postle Field, Oklahoma. In the Hovey Morrow Unit (HMU) of the field, the Morrow A sandstone varies from 0 ft to 70 ft thickness with a mean of 35 ft, and is located approximately 6000 ft deep. The 3-D multicomponent seismic data available in the area include P-, S11- and S22-waves from three different acquisition campaigns (baseline, monitor 1 and monitor 2). The thin reservoir and lack of acoustic impedance between reservoir and encasing shale make the Morrow A sandstone very difficult to detect. Spectral decomposition improves the detection of the Morrow A sandstone enabling the monitoring production and injection changes in the reservoir. The exponential matching-pursuit decomposition method was used to obtain the frequency spectrum of the seismic data. The peak amplitude and peak frequency are the spectral decomposition attributes used to conduct the time-lapse seismic interpretation. The time-lapse study shows that both P-wave and S11-wave time-lapse peak amplitude changes have a significant correlation with the pressure change map from reservoir simulation, with the S11-wave data having the best correlation. P-wave is sensitive to both pressure change and saturation change while S-wave is only sensitive to pressure change. Combining the P-wave and S-wave data together we may be able to separate the saturation change from pressure change.
    Rights
    Copyright of the original work is retained by the author.
    Collections
    2012 - 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.