Decision support for ore sorting and preconcentration in gold applications

Abstract

Upgrading coarse feed in gold plants, through a process of selective processing, has always been of interest. The level of interest has waxed and waned over the last 30-40 years, but improvements in methods and pressure to increase the efficiency of resource utilisation, have driven greater attention. The resources in question, not simply being the orebody itself, but the requirements for energy and water and the level of intensity applied. Despite various advances in technology, the market penetration of selective coarse upgrading, either via physical means (screening, DMS) or sensors (particle or mass sorting), is still limited. In relation to gold, uptake is complicated by low concentration and the lack of commercial sensors for direct detection. In this paper, the authors examine key factors impacting the rate and degree of uptake of preconcentration in the gold sector, as it relates to particle based particle sorting and DMS.

Technology Upgrade Assessment for Open-Pit Mines through Mine Plan Optimization and Discrete Event Simulation

“…Ore sorting is not a new technology; however, it has gained interest since the 2000s to be applied to the base and precious metals such as copper and gold [45]. Particle sorting is the most common approach implemented in mine sites, having a range of sensors available in the market to determine what material must be accepted or rejected [58]. Sensing techniques are divided between active and passive, and in turn, they are divided into body and surface.…”

“…Active means that the sensor excites a sample and then analyzes the response, whereas the passive approach is limited to observing it. Body refers to seeking an internal analysis, and surface only from the outside [58]. Table 1 shows a categorization of various sensing techniques.…”