Microsoft, BHP using AI to improve mine operations

Microsoft and BHP are collaborating on a project involving using AI and machine learning to improve copper recovery at the world’s largest copper mine.

BHP is introducing new technology capabilities at its Escondida operation in Chile, which produces over 1 million metric tonnes of copper per annum.

Using real-time plant data in combination with AI-based recommendations from Microsoft’s Azure platform, the concentrator operators at Escondida will have the ability to adjust operational variables that affect both ore processing and grade recovery.

BHP Chief Technical Officer Laura Tyler said the company expects to be able to generate more value from an existing resource by augmenting new digital technology capabilities with new ways of working.

“We expect the next big wave in mining to come from the advanced use of digital technologies. As grades decline at existing copper mines and fewer new economic discoveries are made, next-generation technologies like artificial intelligence, machine learning and data analytics will need to be used to unlock more production and value from our existing mines,” she said.

BHP estimates that the world will need to double the amount of copper produced over the next 30 years to keep up with the development of decarbonisation technology such as electric vehicles, offshore wind and solar farms needed for the world to meet net zero targets.

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