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    Improving reservoir history matching of EM heated heavy oil reservoirs via cross-well seismic tomography

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    Type
    Conference Paper
    Authors
    Katterbauer, Klemens cc
    Hoteit, Ibrahim cc
    KAUST Department
    Earth Fluid Modeling and Prediction Group
    Earth Science and Engineering Program
    Environmental Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2014-06-10
    Online Publication Date
    2014-06-10
    Print Publication Date
    2014
    Permanent link to this record
    http://hdl.handle.net/10754/575771
    
    Metadata
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    Abstract
    Enhanced recovery methods have become significant in the industry's drive to increase recovery rates from oil and gas reservoirs. For heavy oil reservoirs, the immobility of the oil at reservoir temperatures, caused by its high viscosity, limits the recovery rates and strains the economic viability of these fields. While thermal recovery methods, such as steam injection or THAI, have extensively been applied in the field, their success has so far been limited due to prohibitive heat losses and the difficulty in controlling the combustion process. Electromagnetic (EM) heating via high-frequency EM radiation has attracted attention due to its wide applicability in different environments, its efficiency, and the improved controllability of the heating process. While becoming a promising technology for heavy oil recovery, its effect on overall reservoir production and fluid displacements are poorly understood. Reservoir history matching has become a vital tool for the oil & gas industry to increase recovery rates. Limited research has been undertaken so far to capture the nonlinear reservoir dynamics and significantly varying flow rates for thermally heated heavy oil reservoir that may notably change production rates and render conventional history matching frameworks more challenging. We present a new history matching framework for EM heated heavy oil reservoirs incorporating cross-well seismic imaging. Interfacing an EM heating solver to a reservoir simulator via Andrade’s equation, we couple the system to an ensemble Kalman filter based history matching framework incorporating a cross-well seismic survey module. With increasing power levels and heating applied to the heavy oil reservoirs, reservoir dynamics change considerably and may lead to widely differing production forecasts and increased uncertainty. We have shown that the incorporation of seismic observations into the EnKF framework can significantly enhance reservoir simulations, decrease forecasting uncertainties and cope with the growing nonlinearity caused by the heating process for efficient and accurate reservoir forecasting.
    Publisher
    Society of Petroleum Engineers (SPE)
    Journal
    SPE Heavy Oil Conference-Canada
    Conference/Event name
    SPE Heavy Oil Conference-Canada
    ISBN
    9781632668875
    DOI
    10.2118/170004-ms
    ae974a485f413a2113503eed53cd6c53
    10.2118/170004-ms
    Scopus Count
    Collections
    Conference Papers; Environmental Science and Engineering Program; Environmental Science and Engineering Program; Physical Science and Engineering (PSE) Division; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Earth Science and Engineering Program

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