Selection of optimal open pit mining limits with multiple geostatistical models to quantify uncertainty in pit value

该提案涉及露天采矿界限设计中的风险管理。根据地质数据建立的数值模型用于露天开采界限的设计和优化，并确定矿产项目的生产率和投资回报率。不确定性是地质数据固有的，是可以建模的。这种不确定性给在这些设计的采矿界限上做出的任何投资决策带来了一定程度的风险。这项提议将解决的关键研究挑战是管理最大采矿界限设计中的地质不确定性。虽然这项研究没有明确讨论其他形式的风险，但对项目中固有风险的任何部分的管理都将有助于改进露天采矿项目开发的决策。地质不确定性对采矿界限的影响将出现一幅清晰的图景。SRK(加拿大)将采用改进的办法来管理露天采矿限度内的风险。这项研究建议将促进在开发最佳资源时积极管理风险，并阻止开发较高风险的资源，从而使加拿大受益。

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.