Improved Probabilistic Resource Models for Mineral Deposits

改进的矿床概率资源模型

• 批准号: 521311-2017
• 负责人: Deutsch, Clayton
• 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=640569
• 关键词: Improved; Probabilistic; Resource; Models; Mineral

Mineral resources are the core assets of a mining company. The evaluation of mineral resources is associated with significant uncertainty given widely spaced drilling and geological variability at all scales. Techniques for resource estimation have improved over the years, but the calculation of the uncertainty in the resources (tonnage, grade and quantity of metal) has not become commonplace or mature. This project aims to improve the practices of mineral resource uncertainty calculation to improve resource management and decision making for First Majestic Silver Corp., a Canadian mining company. The practices are expected to spread to other Canadian mining companies and beyond.

矿产资源是矿业公司的核心资产。由于各种尺度的钻探和地质变异性很大，对矿产资源的评价具有很大的不确定性。多年来，资源估计的技术有所改进，但计算资源(金属的吨位、品位和数量)的不确定性并不常见或不成熟。该项目旨在改进矿产资源不确定性计算的实践，以改善加拿大矿业公司First Majestic Silver Corp.的资源管理和决策。这些做法预计将蔓延到加拿大其他矿业公司乃至更远的地方。