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    Calibration and validation of reservoir models: the importance of high resolution, quantitative outcrop analogues

    Access Status
    Fulltext not available
    Authors
    Jones, R.
    McCaffrey, K.
    Imber, J.
    Wightman, R.
    Smith, S.
    Holdsworth, R.
    Clegg, P.
    De Paola, N.
    Healy, David
    Wilson, R.
    Date
    2008
    Type
    Book Chapter
    
    Metadata
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    Citation
    Jones, Richard and McCaffrey, Ken and Imber, Jonny and Wightman, Ruth and Smith, Steve and Holdsworth, Robert and Clegg, Phil and De Paola, Nicola and Healy, David and Wilson, Robert. 2008. Calibration and validation of reservoir models: the importance of high resolution, quantitative outcrop analogues. In Robinson, A., Griffiths, P., Price, S., Hegre, J. and Muggeridge, A. (ed) The future of geological modelling in hydrocarbon development, pp. 87-98. London: Geological Society of London Special Publications.
    Source Title
    The Future of Geological Modelling in Hydrocarbon Development
    DOI
    10.1144/SP309.7
    ISBN
    1862392668
    Faculty
    Department of Applied Geology
    Faculty of Science and Engineering
    The Western Australian School of Mines
    URI
    http://hdl.handle.net/20.500.11937/31666
    Collection
    • Curtin Research Publications
    Abstract

    Rapidly developing methods of digital acquisition, visualization and analysis allow highly detailed outcrop models to be constructed, and used as analogues to provide quantitative information about sedimentological and structural architectures from reservoir to subseismic scales of observation. Terrestrial laser-scanning (lidar) and high precision Real-Time Kinematic GPS are key survey technologies for data acquisition. 3D visualization facilities are used when analysing the outcrop data. Analysis of laser-scan data involves picking of the point-cloud to derive interpolated stratigraphic and structural surfaces. The resultant data can be used as input for object-based models, or can be cellularized and upscaled for use in grid-based reservoir modelling. Outcrop data can also be used to calibrate numerical models of geological processes such as the development and growth of folds, and the initiation and propagation of fractures.

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