Costs
Unlocking up to 70 per cent faster mine planning cycles and millions in additional project value is now within reach for operations that combine centralised data systems, virtual twins and advanced optimisation engines.
When a Queensland flood swallowed a dragline and left an underground portal 60 metres underwater, Wade Ludlow knew mine levee design had to change.
It’s not every day you hear about two massive shafts being sunk side by side in Australian coal country, each with its own design, equipment, and risks.
When Barry McKay walked into Ashton Coal and saw machines cutting stone instead of coal, he knew something had to change.
Deep underground in the Illawarra, a battery electric transporter called Driftex is rewriting the rules of coal mining by beating diesel on safety, speed and cost.
After a shaky start to 2025, the Australian exploration sector appears to be tentatively turning a corner.
When Whitehaven Coal acquired BMA’s Daunia and Blackwater mines in Queensland’s Bowen Basin, it wasn’t just the company’s biggest purchase to date.
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 global lenders assess mining projects, it is no longer enough to meet Australian legislation – financiers are demanding alignment with international ESG standards, and the gaps are costing companies time and money.
