Geometallurgy seeks to build predictive models of orebody performance from mining, through processing, and to disposal. These models provide a mechanism to both maximise value and to reduce financial and operational risk, and can be derived at the feasibility stage (resource geometallurgy) an/or during mining (operational geometallurgy).

Predictive models of key parameters such as blastability, comminution throughput, recovery and waste rock/tailings characteristics are built by linking laboratory or bench test results to data collected from drill core and/or cuttings. Mineralogy is a key component of geometallurgy as mining and extractive processes are largely controlled by mineral assemblages, and hyperspectral imaging is a key tool as it provides a continuous and representative record of in-situ mineralogy and texture.

In addition to rapid and accurate mapping of known deleterious phases (talc, smectite clays etc.), hyperspectral data can be integrated with other datasets such as geochemistry, and mathematically correlated to bench test results. Those outputs are used to build predictive models of mining and metallurgical parameters.

With our diverse team of geologists, geometallurgists and mathematicians, TerraCore has successfully applied hyperspectral core imaging to geometallurgical studies in both feasibility and production settings for major mining companies.

Our team is uniquely suited to provide wide-ranging geometallurgical solutions and consulting.