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Core and field scale modeling of miscible injection processes in fractured porous media using Random Walk and Particle Tracking methods

  • Author / Creator
    Stalgorova, Ekaterina
  • In this thesis, we introduced and applied non-classical techniques to simulate miscible flow in fractured porous media. First, the Random Walk technique was modified to simulate miscible displacement in 2D fractured porous media at the lab-scale. The method was validated using a series of laboratory solvent injection experiments obtained from literature. Then, this model was modified to apply it for field-scale simulations and a sensitivity analysis was performed to identify the most critical parameters of the process. To validate the model, a tracer test done in the naturally fractured Midale field was used. Subsequently, the same fracture network system, which was calibrated against the tracer test results, was used to simulate the pilot CO2 injection applied in the same field. In this exercise, additional modifications to the algorithm were made including diffusive transfer between matrix and fracture. In the last part of the thesis, an approach was presented to scale up the production profiles obtained for a fractured reservoir. The exponents in the scaling equation were correlated to the fracture network properties such as fracture density, box-counting fractal dimension, mass fractal dimension, and fracture volume ratio.

  • Subjects / Keywords
  • Graduation date
    2011-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R30017
  • 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
  • Supervisor / co-supervisor and their department(s)
    • Dr. Tayfun Babadagli, Civil and Environmental Engineering
  • Examining committee members and their departments
    • Dr. Juliana Leung, Civil and Environmental Engineering
    • Dr. Tayfun Babadagli, Civil and Environmental Engineering
    • Dr. Ahmed Bouferguene, Campus Saint-Jean