Geometallurgical Simulation of the Work Index in a Porphyry Copper Deposit Using Geostatistical Techniques

Nelson Jesús Ramos Armijos, Celis Marilú Calderón
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Abstract

The spatial variability in the geometallurgical attributes of the deposits is a crucial parameter from the exploration stage, which conditions and influences the mineral processing. Consequently, the objective of this research is to elaborate the geometallurgical simulation of the Bond Work Index for a porphyry copper deposit. For this purpose, information of primary and response attributes corresponding to ore zones, lithologies and BWi contained in 1,449 samples of exploratory drill holes were used. An exploratory data analysis of this information was carried out, and geometallurgical units were defined based on the geological and processing knowledge that validates the behavior of each one of them within the deposit; then Sequential Gaussian Simulation was applied, running 100 realizations in each GMU, those that best reproduce the statistics of the original samples were chosen. The results show that the lithology of the deposit controls the BWi variability and according to the rock competence the ore zones are classified from the softest to the hardest in oxides, mixed and sulfides.
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利用地质统计技术对斑岩铜矿床的功指数进行地质冶金模拟
从勘探阶段开始,矿床地质冶金属性的空间变化就是一个关键参数,它是矿物加工的条件和影响因素。因此,本研究的目的是详细阐述斑岩铜矿床邦德功指数的地质冶金模拟。为此,我们使用了 1,449 个勘探钻孔样本中包含的与矿带、岩性和 BWi 相对应的主要属性和响应属性信息。对这些信息进行了探索性数据分析,并根据地质和加工知识定义了地质冶金单元,这些知识验证了每个单元在矿床中的行为;然后应用了序列高斯模拟,在每个地质冶金单元中运行了 100 次变现,选择了最能再现原始样本统计数据的单元。结果表明,矿床的岩性控制着 BWi 的变化,根据岩石能力,矿石区可分为最软到最硬的氧化物区、混合区和硫化物区。
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