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Use of Temperature data for assisted history matching and characterization of SAGD heterogeneous reservoirs within EnKF framework

  • Author / Creator
    Panwar, Amit
  • The Ensemble Kalman Filter (EnKF), a parameter estimation approach using the real-time DTS temperature observations is proposed for automatic history matching and quantitative reservoir characterization of SAGD reservoirs. EnKF algorithm is coupled with the discrete cosine transform (DCT) for updating reservoir models whose petrophysical properties are not necessarily Gaussian. The DCT-EnKF provided a highly attractive algorithm for parameterizing the facies labels in SAGD reservoirs. Furthermore, to capture geologically meaningful and realistic facies distribution in conjunction with matching observed data, we included fiber-optic sensor temperature data. Several cases with different facies distribution and well configurations were studied. In order to investigate the effect of temperature observations on SAGD reservoir characterization, the number of DTS observations and their locations were varied for each study. The qualities of the history-matched models were assessed by comparing the permeability maps, facies maps and the Root Mean Square Error (RMSE) of the predicted data mismatch. Finally, sensitivity analysis was performed to obtain an optimum number of sensors and their locations for improved reservoir characterization. Use of temperature data in conjunction with production data demonstrated significant improvement in facies detection and reduced uncertainty for SAGD reservoirs. The results reveal that increasing the number of temperature observations showed very little improvements after some critical number of sensor observations. At the end, the methodology has been applied to a real SAGD reservoir.

  • Subjects / Keywords
  • Graduation date
    2012-09
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3XK50
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Civil and Environmental Engineering
  • Specialization
    • Petroleum Engineering
  • Supervisor / co-supervisor and their department(s)
    • Trivedi, Japan (Petroleum Engineering)
  • Examining committee members and their departments
    • Dehghanpour, Hassan (Petroleum Engineering)
    • Prasda, Vinay (Chemical and Materials Engineering)