Reducing Uncertainties in Gold Plant Design and Operations

C. Amoah, G. Ofori-Sarpong, Richard Kwasi Amankwah
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Abstract

The conventional way of designing a plant is to determine the characteristics of rocks in terms of crushability, grindability and other properties that affect the mill throughput. These properties are most of the time determined from drill cores obtained during the exploration period. Such initial exploration campaigns drill to levels shallower than the real pit that will be developed. Thus, as mining pits become deeper, the ore characteristics change and begin to impact negatively on the expected mill throughput. Such situations necessitate modification of the plant, and the first intervention usually is to supplement the initial energy input with additional size reduction equipment to achieve the required throughput. However, reconsidering the inputs used in determining the initial plant selection would help in reducing the setbacks during the operational period. To help reduce uncertainties and develop a predictive tool, this study considered a greenfield drilled up to 273 m, and the core samples obtained were tested to ascertain the variations in Bond work index to depths beyond 500 m. The study showed that within the section of the Asankragwa belt investigated, Bond work indices increased from 10.3 kW/t at the surface to 16.5 kW/t at a depth of 273 m. The Bond work index was established as a function of vertical depth in a pit (x) with the relation BWI=6E-05x2 + 0.0071x + 9.8816. The predicted value at 280 m was 16.3 kW/t while that of the blend was 15.8 kW/t, giving an error of 4%. This novel relationship between the BWI and depth predicts the BWI beyond 500m with minimum mean square error. The use of the novel Bond work index and depth relationship will eliminate the uncertainty beyond the drilled depth and give a clear understanding of what the rock characteristics will be as pits become deeper. In addition, a savings of US$62,500 per diamond drill hole and US$25,000 per one reverse drilling after the 250 m depth can be made by the use of this model. This can result in massive savings considering the number of holes that would have to be drilled across the length of the pit.
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减少金矿厂设计和运营中的不确定性
设计设备的传统方法是确定岩石的可破碎性、可磨性和其他影响磨机吞吐量的特性。这些性质大多是由勘探期间获得的岩心确定的。这种最初的勘探活动钻探到比将要开发的实际矿坑更浅的水平。因此,随着采矿坑的加深,矿石特性发生变化,并开始对预期磨机吞吐量产生负面影响。这种情况需要对装置进行改造,而第一个干预措施通常是用额外的尺寸减小设备来补充初始的能量输入,以达到所需的吞吐量。但是,重新考虑在确定最初工厂选择时所使用的投入将有助于减少业务期间的挫折。为了减少不确定性并开发预测工具,本研究考虑了一个钻深273米的绿地,并对获得的岩心样本进行了测试,以确定Bond工作指数在深度超过500米时的变化。研究表明,在Asankragwa带所调查的区域内,Bond功指数从地表的10.3 kW/t增加到273 m深度的16.5 kW/t。建立Bond工作指数作为矿井垂直深度(x)的函数,BWI=6E-05x2 + 0.0071x + 9.8816。280 m的预测值为16.3 kW/t,而混合料的预测值为15.8 kW/t,误差为4%。这种新的BWI与深度之间的关系以最小的均方误差预测了500米以上的BWI。新型Bond功指数和深度关系的使用将消除钻探深度以外的不确定性,并使人们清楚地了解随着坑的加深,岩石特征将会是什么。此外,使用该模型每个金刚石钻孔可节省62,500美元,250 m深度后每次反钻可节省25,000美元。考虑到必须在整个坑的长度上钻孔的数量,这可以节省大量的费用。
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来源期刊
CiteScore
3.50
自引率
0.00%
发文量
6
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