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A simple and accurate method for Ore Reserve estimation and Mineral Resource depletion in caving mines

机译:一种简单准确的矿石储备估计和矿物资源耗尽在洞穴矿山中

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Conversion of Mineral Resources to Ore Reserves requires a multidisciplinary approach and application of a number of Modifying Factors. The Modifying Factors for mining, particularly dilution and recovery in a caving mine are complex and can be difficult to determine. Cave flow modelling software is widely used for mine planning, scheduling and forecasting metal production. However, the conversion of Mineral Resources to Ore Reserves remains a difficult and subjective process and a consistent approach to convert Mineral Resources to Ore Reserves as part of the cave flow modelling process is not published in the literature. This is due to the difficulty in estimating the Ore Reserve that remains as cave stocks at a particular point in the mine schedule, the recovered tonnage and grade of the diluting material at various stages in the mine life, as well as the Mineral Resource classification of both the recovered and diluting material that forms the Ore Reserve. The key principle of this paper is the tracking of the Mineral Resource classification in the flow model used to estimate the Ore Reserves. This is critical to defining the Ore Reserve as Proved or Probable and enabling transparency in the reporting process. An approach for dealing with mineralised external dilution in the Ore Reserve estimation process is also provided.This paper outlines the approach to convert Mineral Resources into Ore Reserves developed at the Ernest Henry mine sublevel cave (EHM SLC). The same method could be used in any cave mine and applied at any stage of the mine life. The process replaces broad-brush assumptions for the mining Modifying Factors, such as dilution and recovery, as these are determined numerically as part of the model computation. This paper explains the Ore Reserve estimation method with a worked example to enable the reader to adopt the process at any caving mine. Mineral Resource classification within the block model is embedded in the cave flow model and the flow model results used to attribute tonnes, grade and the mixed proportions of the Mineral Resource classification for material extracted from each drawpoint. This information is then used to convert planned mine production into the appropriate Ore Reserve classification. Since the flow model simulation follows the mine schedule, it can be used to predict depletion and cave stocks at any stage of the mine life, and can calculate a residual block model at the end of the mine life. The accuracy of the flow model is checked by validating the forecast ore grade and metal tonne with reconciliation data from the concentrator which is also used to calibrate the flow model.
机译:矿产资源转换为矿石储备需要多学科方法和应用许多修改因子。用于采矿的改变因子,特别是在塌陷矿中稀释和恢复是复杂的并且可能难以确定。洞穴流模型软件广泛用于矿山规划,调度和预测金属生产。但是,矿产资源转化为矿石储备仍然是一个困难而主观的过程,以及将矿产资源转化为矿石储备的一致方法,作为洞穴模型过程的一部分未公布在文献中。这是由于难以估计矿井时间表中特定点陷入洞穴储备的矿石储备,在矿山生活中的各个阶段以及矿产资源分类中稀释材料的恢复吨位和稀释材料等级形成矿石储备的回收和稀释材料。本文的关键原理是跟踪流量模型中的矿产资源分类,用于估算矿石储备。这对于定义矿石储备至关重要,以证明或可能在报告过程中实现透明度。还提供了处理矿石储备估计过程中矿化外部稀释的方法。本文概述了将矿产资源转化为奥尔斯特亨利矿山坡洞(EHM SLC)开发的矿石储备的方法。相同的方法可用于任何洞穴矿井,并在矿山寿命的任何阶段应用。该过程取代了用于挖掘修改因子的宽刷假设,例如稀释和恢复,因为它们是根据模型计算的一部分确定的。本文解释了矿石储备估计方法与工作示例,使读者能够在任何凹坑矿井中采用该过程。块模型内的矿产资源分类嵌入到洞流模型中,流量模型结果嵌入到每个绘图点中提取的材料中矿物资源分类的矿物资源分类的混合比例。然后使用该信息将计划的矿山生产转换为适当的矿石储备分类。由于流量模拟仿真遵循矿山时间表,因此可用于预测矿山寿命的任何阶段的耗尽和洞穴股,并且可以在矿山寿命结束时计算残留块模型。通过从集中器的和解数据验证预测矿石级和金属吨来检查流模型的准确性,该集中器还用于校准流动模型。

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