Applications of Automated Quantitative Mineralogy in Geometallurgy, Examples from Magmatic Ni-(Cu) Deposits

"Most deposits display a high degree of geological and mineralogical complexity that can affect metallurgical processing. Therefore, the proper characterization of the ore and gangue minerals requires a multi disciplinary approach combining geology, mineralogy, geochemistry and processing. However, mineralogy to a large extent informs the metallurgical process. Automated methods can be used throughout the mining chain from advanced exploration through to production.In this presentation we discuss actual case studies where automated mineralogy has been applied in a geometallurgical framework at a pre-feasibility to feasibility level. These include examples from a strongly serpentinized magmatic Ni deposit (Dumont) and a magmatic Cu-Ni deposit (Maturi). Mineral speciation and ratios, e.g., chalcopyrite, cubanite, and pentlandite/pyrrhotite are critical to model the Cu-Ni magmatic deposit. In the serpentinized Ni ore, automated mineralogy is used to speciate the Ni minerals into sulphides, alloys and refractory Ni in the silicate matrix.The mineralogical results are linked to the metallurgical test work in order to model the geometallurgical domains. These case studies will illustrate how mineral quantification and improved understanding of inherent mineralogical parameters in relation to metallurgy reduce technical risk in both exploration and flowsheet development.INTRODUCTIONGeometallurgy is a cross-discipline approach combining geology, metallurgy and mine planning (e.g., Dunham et al., 2011). It is aimed to improve the understanding of geological, mineralogical and metallurgical parameters of an ore. Informational gaps among the different disciplines are often apparent. Automated mineralogy is shown in many studies (e.g., Eppinger et al., 2013, Philander and Rozendaal, 2013) to constitute the link between geology and metallurgy. The geometallurgical approach can provide specific data to geology, mining and mineral processing development and plant operations. The scope of the automated mineralogy is to illustrate how mineral quantification can improve the understanding of inherent mineralogical parameters in relation to metallurgy, and reduce the technical risk in both exploration and flowsheet development."