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    Applications of intelligent systems in petroleum geomechanics - Prediction of geomechanical properties in different types of sedimentary rocks

    Access Status
    Fulltext not available
    Authors
    Rajabi, M.
    Tingay, Mark
    Date
    2013
    Type
    Conference Paper
    
    Metadata
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    Citation
    Rajabi, M. and Tingay, M. 2013. Applications of intelligent systems in petroleum geomechanics - Prediction of geomechanical properties in different types of sedimentary rocks.
    Source Title
    International Workshop on Geomechanics and Energy: The Ground as Energy Source and Storage
    School
    Department of Exploration Geophysics
    URI
    http://hdl.handle.net/20.500.11937/53920
    Collection
    • Curtin Research Publications
    Abstract

    Rock mechanical properties including wave velocities, Poisson's ratio, Young's, shear and bulk modulus have important applications in geomechanical analysis of petroleum reservoirs. Direct measurement of these parameters is usually not viable due to the high cost of testing or a lack of available data, particularly in old wells. Therefore, indirect methods are often used to predict these parameters from available data. The simplest, and still extremely common, method is empirical equations. However, these relationships are highly sensitive to different types of fluids or lithologies and are often not relevant for local geology. In recent years, intelligent systems have been used in different branches of sciences and technologies and have often been demonstrated to be useful in prediction and optimization problems. Herein, we attempt to predict a range of geomechanical parameters for different rock types using intelligent systems. For this purpose, wave velocities and rock mechanical properties of different lithologies were predicted from conventional petrophysical data that are available in most of petroleum wells. The results showed that the used methodologies are fast and reliable (around 95% accuracy) in estimation of geomechanical properties in our case studies and can be used in geomechanical/petrophysical modelling of coal seam gas and petroleum reservoirs.

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