The key to successful flotation plant design, production planning and mine/mill optimisation is a solid understanding of the resource to be processed. As advocated by the authors of this paper, the main components of geometallurgical modelling of an orebody and its associated flotation plant are:
an ore sampling program and subsequent laboratory testing of these samples in order to extract process model parameters;
geostatistical distribution throughout the resource model of the process parameters;
calibration of the plant via benchmarking (for existing operations); and
plant simulation using a system of process models and the distributed metallurgical parameters (from step two) as the data set.
It is important that the grinding and flotation models are linked. For example, a laboratory test conducted on a drill core sample, intended to represent a portion of the orebody, is conducted at a specific grind (represented by a P80). However, when that ore is actually processed through the plant it may well be (and in many cases most likely will be) at another P80. Additionally, the flotation plant residence time will often be determined solely by the grinding circuit capacity and feed slurry density. In the case of SAG mill - ball mill circuits, the fluctuations in tonnage and grind are known to be high. The modelling approach described in this paper allows for changes in the measured flotation kinetic parameters in order to reflect the expected grind as determined by the comminution process.