mining innovation
When mining operators are faced with the challenge of dewatering a live tailings storage facility (TSF) under 30 metres of cover, conventional engineering approaches often buckle under pressure - literally and figuratively.
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.
When it comes to critical minerals in emerging nations, geology is often the easy part - what makes or breaks a project is navigating the politics, markets, and risks that sit behind the orebody.
China quietly built the world’s most powerful critical minerals supply chains while other nations - including Australia - dozed through a geopolitical shift that now threatens economic security, trade independence, and defence readiness.
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.
