Quantification of the value of data for calculating uncertainty and managing risk

量化数据价值以计算不确定性和管理风险

• 批准号: 568535-2021
• 负责人: Boisvert, Jeff
• 金额: $ 1.46万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=719711
• 关键词: Quantification; value; data; calculating; uncertainty

Drill hole samples and remote sensing surveys provide information on subsurface resources for mineral resource estimation, mine planning, and project evaluation. The collection of this data is expensive but necessary to evaluate mineral resources and mines. Additional data collected reduces subsurface uncertainty but is expensive to collect. It is difficult to quantify the value of reducing uncertainty, the main research question explored is 'how much value does drilling an additional n drillholes bring to mining operations at different stages of mining?'. This project will explore methodologies for quantifying the value provided by subsurface sampling. This will be applied to several exploration projects to optimize value by minimizing drilling costs and maximizing the value of reducing uncertainty. This will reduce the environmental impact of exploration activities because fewer drillholes will be required for adequate evaluation of resource projects. Moreover, optimizing the collection of sampling during mineral operations will improving mine planning and reduce environmental impacts through targeted drilling.

钻孔取样和遥感勘测为矿产资源估算、采矿规划和项目评估提供地下资源信息。收集这些数据的费用很高，但对评估矿产资源和矿山是必要的。收集的额外数据减少了地下的不确定性，但收集成本很高。很难量化减少不确定性的价值，探索的主要研究问题是“在采矿的不同阶段，额外钻n个钻孔给采矿作业带来多少价值？”'.本项目将探讨对地下取样所提供的价值进行量化的方法。这将应用于几个勘探项目，通过最大限度地减少钻井成本和最大限度地减少不确定性来优化价值。这将减少勘探活动对环境的影响，因为对资源项目进行充分评价所需的钻孔将减少。此外，优化采矿作业期间的采样收集将改善采矿规划，并通过有针对性的钻探减少对环境的影响。