Geometallurgical Characterisation with Portable FTIR: Application to Sediment-Hosted Cu-Co Ores
Geometallurgical Characterisation with Portable FTIR: Application to Sediment-Hosted Cu-Co Ores
复制标题
DOI：
10.3390/min12010015
复制
发表时间：
2021-12
期刊：
影响因子：
2.5
通讯作者：
Q. Dehaine;L. Tijsseling;G. Rollinson;M. Buxton;H. Glass
中科院分区：
文献类型：
--
作者：
Q. Dehaine;L. Tijsseling;G. Rollinson;M. Buxton;H. Glass
钴(Co)矿的生产主要来自刚果民主共和国(刚果民主共和国)的沉淀型铜(铜)矿床。这些矿床通常由三个矿带组成，表生氧化物矿层覆盖在过渡带上，过渡带在深部逐渐形成硫化物带。这些带中的每一个都显示了具有不同脉石矿物学的矿物组合，最重要的是，矿化具有不同的氧化状态。这对选矿过程中的铜和钴提取有直接影响，因为它决定了要使用哪种处理方法(即浸出和浮选)，并影响这些方法的性能。为了优化资源利用效率，减少技术风险和环境影响，全面了解矿床中矿石矿物学和结构的变化是必不可少的。通过根据推断的冶金行为定义几何矿石类型，这些信息可用于资源分类和改进资源管理。为了深入了解矿物品位的空间分布，有必要开发有可能以相对较低的成本在矿场内进行快速测量的技术。本文研究了便携式傅里叶变换红外光谱(FTIR)在钻芯矿物学测量中的应用。在刚果民主共和国的一个以沉积物为主的铜-钴矿床中选取了一组样品来检验这种方法。使用自动矿物学(QEMSCAN)对结果进行验证。通过偏最小二乘回归(PLS-R)和竞争自适应重加权采样(CARS)相结合的方法实现了从FTIR光谱中预测煤矸石和目标矿物的品位。结果表明，FTIR获得的模式矿物学可用于矿石的矿化类型划分和脉石矿物学几何冶金矿石类型的划分。这种分类支持选择合适的处理路线，并可能影响整体处理性能。
Cobalt (Co) mine production primarily originates from the sediment-hosted copper (Cu) deposits of the Democratic Republic of Congo (DRC). These deposits usually consist of three ore zones with a supergene oxide ore blanket overlying a transition zone which grades into a sulphide zone at depth. Each of these zones display a mineral assemblage with varying gangue mineralogy and, most importantly, a distinct state of oxidation of the mineralisation. This has direct implications for Cu and Co extraction during mineral processing as it dictates which processing method is to be used (i.e., leaching vs. flotation) and affects the performance of these. To optimise resource efficiency, reduce technical risks and environmental impacts, comprehensive understanding of variation of ore mineralogy and texture in the deposit is essential. By defining geometallurgical ore types according to their inferred metallurgical behaviour, this information can serve to classify the resources and improve resource management. To obtain insight into the spatial distribution of mineral grades, it is necessary to develop techniques that have the potential to measure rapidly and, preferably, within the mine at relatively low-cost. In this study, the application of portable Fourier transformed infrared (FTIR) spectroscopy is investigated to measure the mineralogy of drill core samples. A set of samples from a sediment-hosted Cu-Co deposit in DRC was selected to test this approach. Results were validated using automated mineralogy (QEMSCAN). Prediction of gangue and target mineral grades from the FTIR spectra was achieved through partial least squares regression (PLS-R) combined with competitive adaptive reweighted sampling (CARS). It is shown that the modal mineralogy obtained from FTIR can be used to classify the ore according to type of mineralisation and gangue mineralogy into geometallurgical ore types. This classification supports selection of a suitable processing route and is likely to affect the overall process performance.