首页> 外文会议>International Symposium on the Application of Computers and Operations Research in the Mineral Industry >(18)Sensitivity Study of the Estimation Variance Approximation of a Quotient - Comparison with Conditional Simulations in the Mn Deposit of Bangombe (Gabon)
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(18)Sensitivity Study of the Estimation Variance Approximation of a Quotient - Comparison with Conditional Simulations in the Mn Deposit of Bangombe (Gabon)

机译:(18)估计差异近似商的敏感性研究 - Bangombe(Gabon)MN沉积物中有条件模拟的比较

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It is common geostatistical knowledge that grade measured on uneven sample support sizes is not additive. This is the case for example in thin orebodies, where grades of intercepts with varying lengths cannot be estimated directly. The necessity to work with additive variables (i.e. variables that maintain their physical meaning through linear averaging) imposes the estimation to be performed on thickness (T) and the grade accumulation (A). The estimation of these variables can be performed by independent kriging or co-kriging, the grade (G) estimate is simply obtained as the ratio of the two input estimates (A/T). As both estimates for A and T are geostatistically based their precision can be characterized by their kriging variances. The grade estimate however does not come directly with its own kriging variance from the solved kriging system.
机译:常见的地统计学知识是在不均匀样品支撑尺寸上测量的级别不是添加剂。 这是例如在薄矿体中的情况,其中不能直接估计具有不同长度的截距的等级。 使用添加性变量的必要性(即通过线性平均保持其物理含义的变量)施加估计厚度(t)和等级累积(a)。 这些变量的估计可以通过独立的Kriging或Co-kriging来执行,所以简单地获得了等级(g)估计作为两个输入估计(a / t)的比率。 由于A和T的估计,基于地统计学性地,它们的精确度可以通过它们的克里格化差异来表征。 然而,等级估计并没有直接从解决的Kriging系统中获得自己的克里格汀差异。

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