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Automated mineralogy methods and tools, such as the Mineral Liberation Analyser (MLA) and the QEMSCAN, are now widely used for ore characterization, process design and process optimization. Several case studies published recently demonstrate that large gains can be obtained through grinding and flotation optimization guided by automated mineralogy data. However, since automated mineralogy can only provide the information pointing to where the process gains can be made, it does not directly impact the production gain. Thus the question is often asked: how to value the contribution of automated mineralogy to process improvement at a particular plant. This appears to be a difficult question to answer. On close examination however, it is found that this is essentially a question of the value of information and this is reasonably well documented in various other industries. Hubbard, 2010, in chapter 7 “Measuring the Value of Information”, dealt with exactly this type of problem. The value of information is the reduced risk of an investment and opportunity loss. The methods Hubbard developed can be applied to estimate the value of automated mineralogy, as well as metallurgical test work, both producing information that reduces the risk of investment.This paper first introduces Hubbard’s theory on the value of information and how to measure it. It then applies his methods to estimate the value of automated mineralogy, using Anglo Platinum’s fine grinding project as an example. In the end, a general model is developed to allow the simulation of the value of automated mineralogy in different mining operations constrained by different parameters.

The Merensky Reef of the Bushveld Complex of South Africa is marked by prominent lateral and vertical variations in its geology, platinum group element grade distribution and platinum group mineralogy. At Bafokeng Rasimone Platinum Mine on the western limb of the complex eleven distinct Merensky Reef facies have been identified. The reef facies show different mineral processing behaviour. Detailed geometallurgical characterisation of three reef facies (FW 1A contact, FW 3 pothole and pothole edge reef facies) at Bafokeng Rasimone Platinum Mine has been carried out in an attempt to understand differences in flotation performance. Results illustrate that the FW 1A contact facies has the best Pt and Pd grades and recoveries in the flotation concentrates and the pothole edge facies has the worst. The differences are related not only to mineralogical and textural characteristics of the platinum group minerals and base metal sulphides in the different facies, but also pertain to the geological position and the mineralogy of the host rocks that are introduced as dilution to achieve a realistic mining cut.

The Gamsberg zinc deposit in the Northern Cape in South Africa has been the subject of a number of studies by Anglo American over the years. Two distinct ore types have been identified, namely pelitic and garnet-magnetite ore. The ore is characterised by relatively high manganese levels. Manganese reporting to the flotation concentrate is problematic for downstream refining. Anglo Research was asked by the exploration division of Anglo Base to study the relationship between the mineralogy and the floatability of the ore from reef intersections obtained from the eastern ore body. The two ore types were found to have different mineralogical characteristics resulting in different flotation responses both in terms of zinc and manganese recoveries and concentrate grades. The presence of the manganese sulphide, alabandite, was also established, and was found to be extremely detrimental to sphalerite flotation. The reasons for this were explained using the surface analysis facility at Anglo Research.