Safety
AI and automation might reshape the future of mining safety, but Cam Stevens argues the real risk is leaving safety professionals out of the conversation.
At the Life of Mine | Mine Waste and Tailings Conference 2025 in Brisbane, University of Queensland PhD candidate Yue Xiong unveiled a promising alternative to radiation-based monitoring of tailings slurry pipelines - one that could make real-time density measurement safer, cheaper and more adaptable across mine sites.
When Bengalla Mining Company lost tyre fitter Quinten Moore in 2018, the tragedy forced a deep reckoning: could leadership and supervision be strengthened to ensure safer outcomes? For Bengalla, the answer was not only yes, but essential.
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.
A failed park brake piston seal was all it took to reduce a Whitehaven EH5000 dump truck to ashes – and the lesson, as Greg Fenton told the Mechanical Engineering Safety Seminar (MESS 2025), is one that should alarm every mining professional running large electric-drive fleets.
In mining, some of the biggest risks don’t come from broken equipment or unstable ground - they come from the way our brains are wired.
In open-pit mining, getting the right information at the right time can mean the difference between precise grade control and costly dilution - and one technology is giving operators a sharper, faster view of what lies beneath each bench.
Even with control plans, take-fives, and risk assessments stacked high, mining engineers admit incidents still happen because the real world never plays out as neatly as the documents.
