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Pre-mining Characterization of Ore Deposits: What Information Do We Need to Increase Sustainability of the Mining Process?

机译:矿床矿床预挖掘特征:我们需要提高采矿过程的可持续性的哪些信息?

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The efficiency of the metallurgical process can be increased by the incorporation of mineralogical data during the process. Moreover, mineralogy plays a key role in the efficiency of biomining operations and is necessary to predict the formation of acid mine drainage. Decision making in mining operations is currently mainly based on element concentrations (e.g. ore grade, cut-off, acid base accounting) assuming mineral associations of these elements (often with or without sufficient mineralogical data). This can lead to inefficiency of the mining process and environmental problems. Standard prediction methods for acid mine drainage are not accurate enough and there are no methods available, for example, to predict the stability of mine waste under reducing conditions as would apply to submarine tailings disposal (STD), a tailings management strategy that is seeing a revival in the mining industry. To overcome these problems, advanced methodologies have to be applied to characterize newr ore deposits before exploitation starts. This approach gives the opportunity to design optimized processes for efficient metal recovery of the different mineral assemblages in an ore deposit and at the same time to minimize the future environmental impact and costs for mine waste management. Additionally, the whole economic potential is evaluated including strategic elements such as rare earth elements (REE). The methodology should integrate high-resolution geochemistry by sequential extractions and quantitative mineralogy in combination with optimized kinetic testing (oxidizing or reducing conditions, depending on the final waste deposition environment). The resulting data set allows the identification of units with similar geochemical behaviors in the ore deposit and to predict the behavior of each economically or environmentally relevant element throughout the mining process and in the final deposition site.
机译:冶金过程的效率可以在过程中被增加矿物学数据的掺入。此外,矿物学起着生物采矿操作的效率的关键作用,并需要预测酸性矿山排水的形成。使得在采矿作业决定目前主要基于元素浓度(例如矿石品位,截止,酸碱会计)假设这些元素的矿物组合(通常具有或不具有足够的矿物学数据)。这可能导致开采过程和环境问题的低效率。酸性矿山排水标准的预测方法不够准确,有没有可用的方法,例如,预测矿的稳定性还原条件下浪费的将适用于海底尾矿处理(STD),即看到了尾矿管理策略复兴在采矿业。为了克服这些问题,先进的方法必须应用开发开始之前表征newr矿床。这种方法使设计优化过程中的矿床,并在同一时间不同的矿物组合的高效回收金属,以尽量减少矿山废弃物管理未来的环境影响和成本的机会。此外,整个经济潜力进行评估,包括战略元素,如稀土元素(REE)。该方法应连续提取并与优化的动力学测试(氧化或还原条件下,根据最终沉积废物环境)组合定量矿物学集成高分辨率地球化学。将得到的数据集允许的单元的识别在该矿床相似的地球化学行为和预测整个采矿过程各经济或环境相关的元素的行为,并在最终的沉积部位。

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