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Integrating the Theory of Sampling into Underground Mine Grade Control Strategies: Case Studies from Gold Operations

机译:将抽样理论整合到地下矿山品位控制策略中:来自金矿运营的案例研究

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Grade control aims to deliver adequately defined tonnes of ore to the process plant. The foundation of any grade control programme is collecting high-quality samples within a geological context. The requirement for quality samples has long been recognised, in that these should be representative and fit-for-purpose. Correct application of the Theory of Sampling reduces sampling errors across the grade control process, in which errors can propagate from sample collection through sample preparation to assay results. This contribution presents three case studies which are based on coarse gold-dominated orebodies. These illustrate the challenges and potential solutions to achieve representative sampling and build on the content of a previous publication. Solutions ranging from bulk samples processed through a plant to whole-core sampling and assaying using bulk leaching, are discussed. These approaches account for the nature of the mineralisation, where extreme gold particle-clustering effects render the analysis of small-scale samples highly unrepresentative. Furthermore, the analysis of chip samples, which generally yield a positive bias due to over-sampling of quartz vein material, is discussed.
机译:品位控制旨在将适当定义的矿石吨运送到加工厂。任何坡度控制程序的基础都是在地质环境中收集高质量的样品。对质量样品的要求早已得到认可,因为这些样品应具有代表性且适合用途。正确应用采样理论可减少整个品级控制过程中的采样误差,其中误差可从样品采集到样品制备再到测定结果传播。这一贡献提出了三个案例研究,这些案例基于粗金为主的矿体。这些说明了实现代表性抽样并以先前出版物的内容为基础的挑战和潜在解决方案。讨论了从通过工厂处理的大量样品到使用堆浸进行全核心采样和测定的解决方案。这些方法说明了矿化的本质,极端的金颗粒聚集效应使小规模样品的分析极具代表性。此外,还讨论了芯片样本的分析,该样本通常由于对石英脉状材料的过度采样而产生正偏差。

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