PhD in Geology

Project details: Adaptive Automated Geological Modelling for Sustainable Mining Applications Sustainable mining requires a proper assessment of the risks involved in any decision in the mining value chain. Currently this possibility is hindered by the lack of automated end-to-end modelling workflows for risk and sensitivity assessment. Although many steps in the process can be currently automated, the construction of the geological model remains a significant challenge. The geological model is key because it constrains the volumes and data used when inferring the mineral resources, which in turn inform the mine plan and geometallurgical model of the operation. This project addresses this challenge by proposing an adaptive automated approach to geological modelling, to define geological domains and orebody volumes in a reliable, repeatable, and automated way.