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首页> 外文期刊>Journal Of The South African Institute Of Mining & Metallurgy >Using the proportion of barren samples as a proxy for minimum grade in a diamondiferous linear beach deposit- an application of the Nachman model
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Using the proportion of barren samples as a proxy for minimum grade in a diamondiferous linear beach deposit- an application of the Nachman model

机译：利用贫瘠样品的比例作为绝对线性海滩存款中最低等级的代理 - Nachman模型的应用

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Over the past 80 years, the Namibian diamondiferous marine placer has been studied extensively to develop solutions for mining and sampling challenges. The types of studies include the statistical modelling of the distributions of the stone counts per sample; investigating the relationship between geology and the grade distribution; assessing the quality potential of the entrapment of the available diamond pulse; using predetermined acceptability of barren samples (zero proportion (Z_p) samples) to model distributions; optimal sample sizes; and more. During early-stage project evaluation it is more important to find out if a particular area is likely to be above a specific cut-off grade than to focus on sampling for the purpose of accurate resource estimation. Previous work using mixed Poisson and Sichel distributions to model the abundant onshore diamond data has been very successful in modelling the long-tailed nature of these linear beach deposits. The means of these distributions are, however, sensitive to extreme values. Technical and cost constraints prevent a similar scale of sample collection in an adjacent, geologically equivalent, submerged beach environment. A method not sensitive to extreme values is thus required to make early-stage assessments of the likelihood that the grade of a particular target is above a minimum cut-off grade. The Nachman model describes the functional relationship between the mean population density and proportion of barren patches (Z_p) in a patchy environment. A prerequisite for using the Nachman model is that the underlying data must be modelled using a negative binomial distribution (NBD). The case study data is from an analogous area adjacent to the exploration target and meets the NBD requirement It is thus appropriate to apply the Nachman model. The Nachman model provides an opportunity to use the observed z_p to predict the mean grade for an area at the very early stage of an exploration project. In future, early-stage exploration data from a homogenous geological zone exhibiting characteristics of the Nachman model assumptions can thus be used to rank and target those areas that show potential to be above the minimum required grade cut-off for follow-up sampling and inclusion in the mine planning cycle.
机译：在过去的80年中，纳米比亚的野生船上的垫片已经广泛研究了开发采矿和采样挑战的解决方案。研究类型包括每个样本的石数的分布统计建模;调查地质与等级分布的关系;评估可用钻石脉冲夹杂物的质量潜力;使用贫瘠样品的预定可接受性（零比例（Z_P）样本）模拟分布;最佳样本尺寸;和更多。在早期的项目评估期间，找出特定区域可能高于特定的截止等级，更重要的是，对于准确资源估算的目的，专注于采样。以前的工作使用混合泊松和Sichel分布来模拟丰富的陆上钻石数据一直非常成功地建模这些线性海滩矿床的长尾性。然而，这些分布的手段敏感到极值。技术和成本限制防止相邻地质上等同的淹没海滩环境中类似的样品收集等级。因此，需要对极度值不敏感的方法来提高特定目标等级高于最小截止等级的可能性的早期评估。 Nachman模型描述了斑块环境中的平均种群密度与贫瘠斑块（Z_P）的比例之间的功能关系。使用Nachman模型的先决条件是必须使用负二项式分布（NBD）建模底层数据。案例研究数据来自探索目标附近的类似区域，并且满足NBD要求，因此适用于应用Nachman模型。 Nachman Model提供了使用观察到的Z_P来预测勘探项目早期阶段的平均等级的机会。在将来，来自均匀地质区的早期勘探数据表现出Nachman模型假设的特征，因此可以用于等级和定位这些区域，这些区域显示出高于最小所需等级截止的可能性，以便进行后续采样和包容在矿山规划周期。

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