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    CO2CRC/Otway Project - Influence of Geological and Reservoir Parameters on expected time-lapse seismic signal

    132561_12112_041EAGEUrosevicEtAl.pdf (603.5Kb)
    Access Status
    Open access
    Authors
    Gendrin, A.
    Urosevic, Milovan
    Bouquet, S.
    Bernth, H.
    Wisman, Putri
    Labregere, D.
    Verliac, M.
    Date
    2009
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Gendrin, A. and Urosevic, Milovan and Bouquet, S. and Bernth, H. and Wisman, Putri and Labregere, D. and Verliac, M. 2009. CO2CRC/Otway Project - Influence of Geological and Reservoir Parameters on expected time-lapse seismic signal, in EAGE Publications (ed), 71st EAGE Conference & Exhibition, Jun 8 2009. Amsterdam: EAGE.
    Source Title
    EAGE Programme & Catalogue
    Source Conference
    71st EAGE Conference & Exhibition
    ISBN
    9789073781672
    Faculty
    Department of Exploration Geophysics
    Faculty of Science and Engineering
    WA School of Mines
    URI
    http://hdl.handle.net/20.500.11937/25057
    Collection
    • Curtin Research Publications
    Abstract

    In the field of CO2 storage, one important goal is to be able to prove that the injected CO2 is safely stored, and that no leak is occurring. Time-lapse seismic is one of the most powerful tools available for this purpose. However, it is generally used in a qualitative way, to map the injected CO2. Several attempts have been made to use it quantitatively, which are based on the measured time-shifts throughout the seismic volume. Here, we assess the impact of geological and reservoir parameters on the predicted time-lapse signal, which is a first step towards quantification. Uncertainties occur when trying to evaluate the expected timelapse seismic signal. Porosity and permeability are constrained at the wells, but, as is standard in the E&P industry, statistics are used to distribute them throughout the reservoir volume, which is a source of uncertainty. Some reservoir parameters need to be measured, and are poorly constrained for CO2. Our results show that these parameters have an impact on seismic signal prediction, which is not overwhelming (generally below 30%).

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