Efficiency
As mining companies increasingly operate from hundreds, sometimes thousands, of kilometres away from the pit or plant, one challenge has remained constant – how to give remote teams the same operational context, detail, and situational awareness they’d have if they were standing on site.
Every hour of downtime costs a mine tens of thousands of dollars, and Professor Amir Gandomi told the NSW Resources Regulator’s Mechanical Engineering Safety Seminar how artificial intelligence is now cutting those losses by predicting failures and optimising operations in seconds.
When reliable environmental performance data doesn’t exist, simulation can step in – and according to IGO Nova’s Zachary Hearne, it could give Australian producers a market advantage.
What do Formula 1 racing and tailings storage have in common? More than you’d think - especially when AI joins the engineering crew.
PLS’ Pilgangoora Operation delivered a standout June quarter, with production volumes up 77 percent and unit operating costs down 10 percent compared to the previous quarter thanks to the integration of the world’s largest lithium ore sorting plant.
For years, exploration teams have wrestled with data chaos in the field.
When Katrina Garven, Principal Database Consultant at Alias Database Services, reflects on how mining and exploration companies use geological data, she sees an industry undergoing a quiet revolution.
Sensor-based sorting is no longer just a niche preconcentration step - it’s fast becoming a critical pillar of intelligent gold processing.
The future of mineral exploration may hinge less on drill rigs and more on the quality of the data flowing from them.
Rare earth metallurgy is unlike any other field in mining, and as Damien Krebs told AusIMM’s Metallurgical Society in his webinar Rare Earth Metallurgy 101, every single deposit is a puzzle that defies cookie-cutter solutions.
