Leveraging a Geometallurgical Ontology toward Artificial-Intelligence-Driven Orebody Block Modelling for Early-Phase Mine Development

Mining projects are capital-intense endeavors that require careful planning and analysis. Understanding the expected processing challenges of a mineral deposit can save millions of dollars throughout the life of a mine. This project aims to build a framework for representing knowledge about the processing characteristics of a mine so that it can be compared to a database of other mines around the world. Knowing that a mine in development has similar features to an existing mine allows engineers to learn from the success and failure of other projects and head off problems in advance. This framework will be the input to an already successful artificial intelligence engine that is used from mineral exploration problems.

Intern: 
Alain Kabemba;Kaden Pearce
Faculty Supervisor: 
Alessandro Navarra
Province: 
Quebec
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