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

使用多个地质统计模型选择最佳露天开采限制，以量化矿坑价值的不确定性

• 批准号: 508333-2017
• 负责人: Boisvert, Jeff
• 金额: $ 1.82万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640567
• 关键词: Selection; optimal; open; pit; mining

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.

本提案涉及露天采矿界限设计方面的风险管理。根据地质数据创建的数值模型用于设计和优化露天采矿界限，并确定采矿项目的生产率和投资回报率。不确定性是地质数据固有的，可以建模。这种不确定性给在这些设计开采界限上作出的任何投资决定带来一定程度的风险。该提案将解决的主要研究挑战是在设计最大开采限度时对地质不确定性的管理。虽然这项研究没有明确涉及其他形式的风险，但对项目固有风险的任何部分进行管理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有一个清晰的画面。SRK（加拿大）将采用更好的方法来管理露天采矿界限的风险。这项研究提案将有利于加拿大，促进在开发最佳资源方面积极管理风险，并阻止开发风险较高的资源。