Gold
As the mining industry edges closer to a tipping point on tailings management, a panel of global experts at the 2025 Life of Mine | Mine Waste and Tailings Conference in Brisbane issued a clear message: discipline in operations, humility in design, and a more adaptive mindset will be critical to preventing the next tailings disaster.
If there was one thing the panel on safe mine closure made clear at this year’s Life of Mine - Mine Waste and Tailings Conference in Brisbane, it’s this: closure is no longer just about sealing off the last truckload and planting grass.
In the drive to improve energy efficiency, recovery, and metallurgical precision, a global engineering company has released a quiet disruptor: a machine-learning-enabled sensor that’s helping mining operations monitor and optimise grind size with new levels of accuracy.
Western Australia’s listed companies have defied commodity headwinds to post a three point seven percent rise in collective market capitalisation, closing the 2025 financial year at A$362+ billion, according to the Deloitte WA Index Diggers & Dealers Special Edition.
From deserts to drill pads, remote exploration teams increasingly need to make informed, high-impact decisions without waiting weeks for lab results.
For decades, mine planning has leaned heavily on deterministic models - tools that simplify the earth into a single version of the truth.
When mining engineer Eddy Zhang took the stage at the 2025 AusIMM Underground Operators Conference in Adelaide, he was candid about the task at hand: “Today I’ll be presenting learnings from reorientating the Ernest Henry sublevel cave.
As ore grades decline and sustainability pressures rise, mining operations are being forced to find new ways to optimise resource extraction.
In the race to squeeze more value from every tonne of ore, the mining sector is increasingly looking to data-rich, high-resolution technologies that can keep pace with operational demands.
Explorers operating in Australia's greenfield and undercover regions face a common challenge: how to make confident decisions when the surface reveals so little.