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硫化铜镍矿床中伴生的铂族元素以Pt、Pd为主,Os、Ru、Ir、Rh含量通常较低,但价格比Pt、Pd昂贵得多.如何综合评价这些含量较低的伴生铂族元素是普查勘探工作应解决的问题之一.一种作法是将主金属Ni、Cu及6种铂族元素一并列入样品的基本分析项目,这样做便于储量计算,但将增加试金分析工作量,影响矿床勘探速度;另一种作法是只将Ni、Cu、Pt、Pd列入基本分析项目,其余4种伴生铂族元素仅在组合分析样品中进行测定,这样虽节省大量试金分析,却又给储量计算带来困难.本文应用一元线性回归分析方法,尝试依据若干代表性钻孔含铂矿石的基本分析数据,利用Os、Ru、Ir、Rh含量的密切相关关系建立预报方程,以期在只测定矿石中Ru含量的前提下,对Os、Ir、Rh品位进行预报,并讨论了预报的精确度和实际应用的可能性.
The platinum group elements associated with the copper-nickel-copper deposit are mainly Pt and Pd, while the contents of Os, Ru, Ir and Rh are usually lower, but the price is much more expensive than that of Pt and Pd. How to evaluate these associated platinum groups Element is one of the problems to be solved by the census and exploration work.One approach is to include the main metals Ni, Cu and six kinds of platinum group elements together into the basic analysis of the sample project, so as to facilitate the calculation of reserves, but will increase the gold analysis Workload, affecting the exploration speed of the deposit; another approach is only included in the basic analysis of Ni, Cu, Pt, Pd, the remaining four associated platinum group elements only in the combined analysis of samples were measured, which saves a lot of gold But it also brings difficulties to the calculation of the reserves.In this paper, a simple linear regression analysis method is used to establish the prediction equation based on the basic analysis data of a few representative boreholes containing platinum ore and the close correlation between the contents of Os, Ru, Ir and Rh , In order to predict the quality of Os, Ir and Rh on the premise of only measuring the content of Ru in ore and discuss the accuracy of prediction and the possibility of practical application.