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Applying 3D U-statistic method for modeling the iron mineralization in Baghak mine, central section of Sangan iron mines

机译:应用3D U形统计方法在萨朗矿山中央段Baghak Mine中造型铁矿化

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摘要

The U-statistic method is one of the most important structural methods to separate the anomaly from background. It considers the location of samples and carries out the statistical analysis of the data without judging from a geochemical point of view and tries to separate subpopulations and determine anomalous areas. In the present study, 3D U-statistic method has been applied for the first time through the three-dimensional (3D) modeling of an ore deposit. In order to achieve this purpose, 3D U-statistic is applied on the data (Fe grade) resulted from the drilling network in Baghak mine, central part of the Sangan iron mines (in Khorassan Razavi Province, Iran). Afterward, results from applying 3D U-statistic method are used for 3D modeling of the iron mineralization. Results show that the anomalous values are well separated from background so that the determined samples as anomalous are not dispersed and according to their positioning, denser areas of anomalous samples could be considered as anomaly areas. And also, final results (3D model of iron mineralization) show that output model using this method is compatible with designed model for mining operation. Moreover, seen that U-statistic method in addition for separating anomaly from background, could be very efficient for the 3D modeling of different ore type.
机译:U形统计方法是将异常与背景分离的最重要的结构方法之一。它考虑了样本的位置,并在不从地球化学的角度判断的情况下进行数据的统计分析,并尝试分离群体并确定异常区域。在本研究中,通过矿床的三维(3D)建模首次应用了3D U形统计方法。为了实现这一目的,在桑坎矿山的钻井网络中,3D U形统计应用于Sangan Iron Mines中央部分(在Khorassan Razavi省,伊朗)中的钻井网络。之后,应用3D U型统计方法的结果用于铁矿化的3D建模。结果表明,异常值与背景良好分离,使得由异常的样品不分散并根据其定位,异常样品的密集区域可被视为异常区域。而且,最终结果(铁矿化的3D模型)表明,使用该方法的输出模型与用于采矿操作的设计模型兼容。此外,除了从背景中分离异常的U形统计方法,对于不同矿石类型的3D建模,可以非常有效。

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