modules

The module provides an in-depth introduction to geometallurgy, an evolving discipline whose significance is increasingly recognised by practitioners. Geometallurgy is an over-arching subject which aims to enhance characterisation of a resource to support more efficient and effective extraction. 

 

The student is familiarised with modelling of the spatial distribution of properties to define an in situ resource. Relevant properties are those which impact the feasibility and viability of extracting the ore. A prominent characteristic is the chemical composition with, as headline, the grade of constituent commodities. The chemical composition is routinely measured in sections of drillcore and translated into block volumes. Techniques for orebody definition through interpretation of drillcore data will be discussed and their application is demonstrated with computer tutorials and exercises.

 

It is widely accepted that grade alone, and its spatial distribution, does not fully determine the extraction potential of ore. Local variation in mineralogy and texture can influence the ore throughput time and metallurgical recovery in the processing plant, as well as the generation of residual products. The module introduces analytical techniques and their role in generating data for creating a geometallurgically-enhanced block model of the resource. Practical experience with mineralogy testwork is gained through a group laboratory project.

 

Challenges and solutions associated with interpretation of sparsely-measured, non-grade properties are highlighted. Identification of geometallurgical ore types is explored through a detailed discussion of clustering techniques, whose application is illustrated through computer tutorials. For individual ore types, the expected process response is predicted through regression models. The module features a discussion of regression modelling, highlighting the importance of selecting appropriate variables. 

 

Factors such as the sequence of block extraction, blending practices, and the dynamic process response to feedstock variability will influence the correlation between geological properties, throughput, and metallurgical recovery. An appreciation of practical aspects of application of geometallurgy and resource modelling is developed through a series of commodity-specific case studies.

 

Support and guidance in self-study to improve understanding in these areas can be provided. This module is suitable for non-specialist students and those on interdisciplinary pathways.