Sampling, and flotation testing of Sudbury Basin drill core for process mineralogy modelling

被引:38
作者
Lotter, NO [1 ]
Kowal, DL
Tuzun, MA
Whittaker, PJ
Kormos, L
机构
[1] Falconbridge Ltd, Falconbridge Technol Ctr, Falconbridge, ON P0M 1S0, Canada
[2] Strathcona Mill, Sudbury Mines & Mill Business Unit, Onaping, ON, Canada
关键词
mineral processing; ore mineralogy; process optimisation; liberation analysis; flotation kinetics;
D O I
10.1016/S0892-6875(03)00207-3
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The area of flotation testing of drill core is important in the business plan of most mining companies. Metallurgical information derived from this practice can be used to advantage in strategic decision-making. Sampling, flotation testing and subsequent QemSCAN (Quantitative Evaluation of Minerals by Scanning Electron Microscopy) analysis of a mineral resource is one example of this approach. A new resource, located in Sudbury, Ontario, is being assessed for the Sudbury Operations of Falconbridge Limited, which includes the Strathcona Mill. In this case, it was possible to improve the value of information from sampling and flotation testwork by using an improved, statistically-based test design, by sampling the resource by generic end-member ore type, and by integrating the Mineral Processing and Mineral Science disciplines into a Process Mineralogy team. In addition to producing standard metal grade and recovery information, this new approach provides more reproducible information from representative samples and flotation testing in a replicate format. QemSCAN technology is used to produce a size by size mineral balance, including both modal percentages and liberation, from which flotation models for each ore type can be developed. As a result, a key understanding of the potential behaviour of a given ore type, if mined and then processed at the current mill operation, is gained at the 95% confidence level. The three ore types of this mineral resource were shown to have different flotation characteristics. Quantifying the mineralogy and liberation in each of the three ore types, has shown that this difference is due to changes in modal percentages of ferro-magnesium and magnesium silicate minerals such as pyroxene, talc and serpentine. Liberation across the three ore types is very similar and is therefore not responsible for variation in flotation performance. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:857 / 864
页数:8
相关论文
共 12 条
  • [1] BOX GEP, 1978, STATISTICS EXPERIMEN, pCH2
  • [2] CLARK I, 1993, ZERO KRIGING 30 HOUR
  • [3] RELATIVE ACCURACY OF SYSTEMATIC AND STRATIFIED RANDOM SAMPLES FOR A CERTAIN CLASS OF POPULATIONS
    COCHRAN, WG
    [J]. ANNALS OF MATHEMATICAL STATISTICS, 1946, 17 (02): : 164 - 177
  • [4] Hunt Christopher, 1994, COMMUNICATION
  • [5] KRIGE DG, 1962, J I MIN SURV S AFR, V12, P95
  • [6] LI Z, 1993, J CENT S I MIN METAL, V24
  • [7] Lotter N.O., 1995, THESIS U CAPE TOWN J
  • [8] LOTTER NO, 1995, J S AFR I MIN METALL, V95, P149
  • [9] LOTTER NO, 2002, CAN MIN PROC M OTT J
  • [10] Recovery mechanisms for pentlandite, and MgO-bearing gangue minerals in nickel ores from Western Australia
    Pietrobon, MC
    Grano, SR
    Sobieraj, S
    Ralston, J
    [J]. MINERALS ENGINEERING, 1997, 10 (08) : 775 - 786