Statistical benchmark surveying of production concentrators

Arrué-Canales, C.A., Lotter, N.O., in press. The averaging effects of the central limit theorem on replicate surveys at the Montcalm concentrator. In: Proceedings: Canadian Mineral Processors, Ottawa. Cameron, A.W., Kelsall, D.F., Restarick, C.J., Stewart, P.S.B., 1971. A detailed assessment of concentrator performance at Broken Hill South Limited. In: Proceedings of Australasian Institute of Mining and Metallurgy, December, vol. 240, pp. 53–67. Charland, A., Kormos, L.J., Whittaker, P.J., Arrué-Canales, C.A., Fragomeni, D., Lotter, N.O., Mackey, P., Anes, J., 2006. A case study for integrated use of automated mineralogy in plant optimization: The Falconbridge Montcalm concentrator. In: Automated Mineralogy 06: MEI Conference, Brisbane, July. Clark, 1987, Turning the tables – an interactive approach to the traditional estimation of reserves, Journal of South African Institute of Mining and Metallurgy, 87, 293 Clark, I., 1993. From zero to kriging in 30 hours, Short CEED Course, University of the Witwatersrand, Johannesburg, November. Clark, I., 2000. Personal Communication, Salt Lake City. Cramer, 2001, The extractive metallurgy of South Africa’s platinum ores, Journal of Metallurgy, 14 Grant, 1988 Gy, P.M., 1978. Sampling of Particulate Materials – Theory and Practice, Chapter 26. Hartley, D.G., Trahar, W.J., Weller, K.R., 1977. Analysis of concentrator operations at Mount Lyell, Australasian Institute of Mining and Metallurgy, 6, pp. 155–169, Conference Series. Henley, 1983, Ore-dressing mineralogy: a review of techniques, applications and recent developments, Special Publication of the Geological Society of South Africa, 7, 175 Hunt, C.A., 1990. Personal Communication, Johannesburg, South Africa. Inoue, T., Imazumi, T., 1990. Homogenisation of mill feed by partial recycling of bin discharge. In: Decision-Making in the Mineral Industry, CIM Special Volume No. 12, pp. 421–427. Krige, 1962, Statistical applications of mine valuation, Journal of the Institute of Mine Surveyors of South Africa, 12, 95 Lotter, 1995, Review of evaluation models for the representative sampling of ore, Journal of South African Institute of Mining and Metallurgy, 95, 149 Lotter, N.O., 2005. Statistical Benchmark Surveying of Production Concentrators, Ph.D. Thesis, McGill University, Montréal. Lotter, N.O., Laplante, A.R., 2005. Residual effects of lognormality in concentrator data. In: Canadian Mineral Processors Conference, Ottawa, January, Paper 20, pp. 359–387. Lotter, N.O., Whittaker, P.J., 1998. A quality control model for the development of high-confidence QEM∗SEM data, Falconbridge Report. Lotter, 2002, The Development of Process Mineralogy at Falconbridge Limited, and Application to the Raglan Mill, CIM Bulletin, 85 Lotter, 2003, Sampling and flotation testing of Sudbury Basin drill core for process mineralogy modelling, Minerals Engineering, 16, 857, 10.1016/S0892-6875(03)00207-3 Napier-Munn, 1995, Detecting performance improvements in trials with time-varying mineral processes – three case studies, Minerals Engineering, 8, 843, 10.1016/0892-6875(95)00047-T Napier-Munn, 1998, Analysing plant trials by comparing recovery-grade regression lines, Minerals Engineering, 11, 949, 10.1016/S0892-6875(98)00082-X Restarick, C.J., 1976. Pulp sampling techniques for steady state assessment of mineral concentrators. In: Sampling Symposium, Australasian Institute of Mining and Metallurgy, Melbourne, pp. 161–168. Sichel, H.S., 1966. The estimation of means and associated confidence limits for small samples from lognormal populations. In: Symposium on Mathematical Statistics and Computer Applications, Johannesburg, SAIMM, pp. 106–123. Taggart, A.F., 1944. Handbook of Mineral Dressing, Section 19. Weller, 1984, The Use of Mineralogical Data in Computer-Aided Optimisation of a Tin Concentrator, AIME Symp. Applied Mineralogy, Los Angeles, 313