Reference number : GC-2017-Q1-00512, amendment number : , agreement type : G, recipient legal name : Boisvert, Jeff (University of Alberta), recipient country : CA, recipient province : nan, recipient city : Alberta, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : This proposal addresses risk management in the design of surface mining limits. Numerical models created from geologic data are used in the design and optimize of surface mining limits and determine the production rates and return on investment for a mineral project. Uncertainty is inherent in the geologic data and can be modeled. The uncertainty brings a level of risk to any investment decision made on these designed mining limits. The key research challenge that this proposal will address is the management of the geologic uncertainty in the design of maximum mining limits. Although this research does not explicitly address other forms of risk, the management of any part of the risk inherent in a project will lead to improved decisions in the development of a surface mining project. A clear picture of the effect on the mining limits from the geologic uncertainty will emerge. SRK (Canada) will have an enhanced approach to managing the risk in surface mining limits. This research proposal will benefit Canada by promoting the active management of risk in developing the best resources and discouraging the development of higher risk resources._x000D_, program purpose french : This proposal addresses risk management in the design of surface mining limits. Numerical models created from geologic data are used in the design and optimize of surface mining limits and determine the production rates and return on investment for a mineral project. Uncertainty is inherent in the geologic data and can be modeled. The uncertainty brings a level of risk to any investment decision made on these designed mining limits. The key research challenge that this proposal will address is the management of the geologic uncertainty in the design of maximum mining limits. Although this research does not explicitly address other forms of risk, the management of any part of the risk inherent in a project will lead to improved decisions in the development of a surface mining project. A clear picture of the effect on the mining limits from the geologic uncertainty will emerge. SRK (Canada) will have an enhanced approach to managing the risk in surface mining limits. This research proposal will benefit Canada by promoting the active management of risk in developing the best resources and discouraging the development of higher risk resources._x000D_, agreement title english : Selection of optimal open pit mining limits with multiple geostatistical models to quantify uncertainty in pit value, agreement title french : Selection of optimal open pit mining limits with multiple geostatistical models to quantify uncertainty in pit value, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-05-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada