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Linkage of Annual Oil Sands Mine Plan to Composite Tailings Plan

  • Author / Creator
    Kalantari, Samira
  • One of the major issues in the current oil sands waste management techniques is a lack of a direct linkage between the long-term mine plans and the quantity of the tailings produced downstream. This research is focused on developing a linkage between oil sands long-term mine plans and the final composite tailings (CT) produced to assist the oil sands production process to be in compliance with the regulations set by Directive 074. A series of mass-balance relations between the ore tonnage and the final CT tonnage were developed. This was followed by the development of a code to employ the mass-balance relations in reporting the CT production schedule using the long-term mine plan. To capture the uncertainties associated with the CT production process, a stochastic simulation model was developed. Finally, sensitivity analysis was carried out to capture the sensitivity of the CT tonnages produced to the fluctuations of the input variables.

  • Subjects / Keywords
  • Graduation date
    2011-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3HC7Z
  • 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)
    • Askari-Nasab, Hooman (Civil and Environmental Engineering)
  • Examining committee members and their departments
    • Reformat, Marek (Electrical and Computer Engineering)
    • Joseph, Tim (Civil and Environmental Engineering)
    • Boisvert, Jeff (Civil and Environmental Engineering)