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O uso da Cokrigagem Co-Locada (collocated cokriging) na integração de dados químicos e mineralógicos no minério de ferro

机译:在铁矿石化学和矿物学数据的整合中使用并置共克里金法(并置共克里金法)

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摘要

This paper presents a coestimation technique - Collocated Cokriging - applied for integrating mineralogical and chemical data from iron ore. Adopting, as an assumption, a Markov Model for making the covariances modelling easier, the suggested procedure is made up of coestimating the mineralogical variable Goethite having as auxiliary variable Loss on Ignition. The application of this technique is based on: a) The existing statistical correlation between the two variables; b) Existence of a large amount of Loss on Ignition samples, making its direct covariance modelling easier. The proposed method has, as the most important characteristic, operational simplicity, emphasizing the easily direct covariance modelling of Goethite through the Markov Model 2. The technique was applied to iron ore minerals from a deposit located in the Iron Quadrangle (MG). Considering that the proportion of Goethite affects the comminution, pelletizing and reduction processes, the method is suitable for characterizing the iron ore in both resources modelling and mining control phases.
机译:本文提出了一种协同估算技术-协同Cokriging技术,该技术用于整合铁矿石的矿物学和化学数据。为使协方差建模更容易,采用马尔可夫模型作为假设,建议的程序由共同估算矿物学变量针铁矿作为辅助变量灼烧损失组成。该技术的应用基于:a)两个变量之间现有的统计相关性; b)点火样品上存在大量损失,使其直接协方差建模更加容易。拟议的方法具有操作简单性,这是最重要的特征,它强调了通过Markov模型2进行针铁矿的直接直接协方差建模。该技术已应用于位于四边形铁矿(MG)中的铁矿石矿物。考虑到针铁矿的比例会影响粉碎,造粒和还原过程,因此该方法适用于在资源建模和采矿控制阶段表征铁矿石。

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