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Machine Learning in Geology

Machine learning in Geology is being used for various applications and in all stages of the mining cycle. These include exploration, mine geology, resource estimation, mine planning, mineral processing, tailings management, and metallurgy. There is an increased interest in machine learning and artificial intelligence, in large part due to the data revolution. The adoption of …

Machine Learning applied to Geological Modelling

Machine learning applied to geological modelling presents a new source of data for miners. Earlier this month, Dr Glen Nwaila held an innovative talk that garnered great interest from players in the industry looking for AI solutions for mining and ways to digitalise operations. As one of the world’s leading innovators for artificial intelligence in …

SAGA Machine Learning Talk

Our esteemed Dr Nwaila delivered a workshop on Machine Learning at the South African Geophysical Association (SAGA) this week.

Geometallurgy versus Process Mineralogy in well-constrained ore deposits

In the last three decades, there has been vast research studies on the fields of geometallurgy and process mineralogy. Most of the research papers use the word geometallurgy and process mineralogy interchangeably making it hard for the layman to comprehend the differences between the two. I have seen papers describing geometallurgy as being an important …