Risk Mitigation
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.
What if the key to slashing tailings closure costs and winning community trust is to start the work decades before the mine shuts down?
For Justin Walls, Principal Consultant (Tailings Engineering) at SRK Consulting, the best time to plan for tailings storage facility (TSF) closure is now – not when the mine is about to shut down.
When John Stacpoole, inspector of mines at the NSW Resources Regulator, took the stage at the Life of Mine | Mine Waste and Tailings 2025 Conference in Brisbane, he didn’t waste time on pleasantries.
If your underground mine is relying on 50 metres of non-line-of-sight vehicle detection, you may already be running outside your critical safety controls.
When most miners think about tailings, they think about storage, risk management, and rehabilitation, but at the Life of Mine | Mine Waste and Tailings Conference 2025 in Brisbane, Clem Cahill, technical director - tailings at GHD, showed how the Kara Mine flipped that thinking on its head - turning its own waste stream into a high-performance construction material.
When Anton Kirsten took the stage at the Life of Mine | Mine Waste and Tailings 2025 conference in Brisbane, he wasted no time outlining a problem that’s been quietly growing into a full-blown crisis: there simply aren’t enough Engineers of Record (EoRs) to go around.
Henry Dillon, Global Customer Success Manager - Geoscience at Maptek, used his time on stage at APCOM2025 in Perth to challenge one of the industry’s most entrenched habits - treating resource models as static snapshots.
Tailings monitoring is a lot like health care - when it’s reactive, it can cost you dearly, but when it’s proactive, structured and consistent, it becomes a powerful tool for preventing failure, demonstrating stewardship, and building long-term confidence in your facility.
In a sector where “take-or-pay” contracts have long dictated how miners move their commodities, one new entrant is promising a more flexible model that puts the needs of producers first.
A cloud-hosted machine learning model, linked securely to a plant control system, has helped eliminate costly surging in dense medium cyclones - and in one case, safeguarded millions in weekly coal revenue.
