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    Seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion

    Góes Castro Meira M 2017.pdf (20.13Mb)
    Access Status
    Open access
    Authors
    Góes Castro Meira, Mateus
    Date
    2016
    Supervisor
    Prof. Boris Gurevich
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    Western Australian School of Mines
    URI
    http://hdl.handle.net/20.500.11937/59651
    Collection
    • Curtin Theses
    Abstract

    I investigate the capability of stochastic inversion to estimate dynamic reservoir properties and their uncertainty from time-lapse seismic data. To this end, I develop a multidisciplinary stochastic inversion workflow and test its performance on a synthetic dataset based on flow simulations from an Australian CO2 geosequestration project. Application of this workflow to a field dataset over a producing carbonate reservoir offshore Brazil gives dynamic properties estimates consistent with the flow simulation results.

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