综合增稠分析策略

Pamela Ruiz, W. Montes-Quiroz, Klebbert Andrade Corbalan
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引用次数: 0

摘要

在增稠阶段出现的主要操作问题是:1)由于高扭矩、溢流水质差和排放物中固体浓度低,进料的高可变性导致无法实现预期的处理;2)操作效率低下,原因是控制回路建立不完善,缺乏对浓缩和下流泥浆输送过程中冶金行为的了解;3)由于缺乏或没有维护,缺乏足够的传感器,以及对收集的信息的分析不佳,导致参数的仪表和测量不佳。造成这些问题的主要原因是设备体积小,矿物学复杂,关键参数测量缺乏或质量差,以及相关操作变量分析不完整。在这种情况下,挑战在于及时查明水回收限制的原因和作业问题,并能够预测作业不稳定将出现的时期。这项工作提出了一个综合的分析策略,考虑了一个自动化的试点测量系统,以及对实验和操作数据的高级分析,这使我们能够在早期阶段确定操作效率低下的原因,并提出具体的改进措施。所提出的系统还考虑了一个建模阶段,预测尾矿在不同矿物学和处理方案下的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive thickening analysis strategy
The main operational issues that arise in the thickening stage are: 1) high variability in feed resulting in failure to achieve the projected treatments due to high levels of torque, poor overflow water quality, and low concentration of solids in discharge; 2) operational inefficiency due to poorly established control loop and lack of knowledge of metallurgical behaviour in thickening and underflow slurry transport; and 3) poor instrumentation and measurement of parameters due to poor or no maintenance, lack of adequate sensors, and poor analysis of the collected information. The main causes of these problems are undersized equipment, the presence of complex mineralogies, lack or poor quality of measurement of key parameters, and incomplete analysis of relevant operational variables. In such scenarios, the challenge is to identify, in a timely manner, the causes of the limitations in water recovery and operational issues and be able to predict the periods when operational instabilities will arise. This work presents a comprehensive analysis strategy that considers an automated pilot measurement system, together with an advanced analysis of the experimental and operational data, which allows us to identify, at an early stage, the causes of operational inefficiencies and to propose concrete actions for improvement. The proposed system also considers a modelling stage that predicts the behaviour of the tailings under different mineralogy and treatment scenarios.
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