South America
At the Life of Mine | Mine Waste and Tailings Conference 2025 in Brisbane, a panel of experts sat down to tackle the hard questions around how the Global Industry Standard on Tailings Management (GISTM) is being implemented and assured across the mining sector.
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.
In the mining world, where uptime is profit and safety is paramount, innovations that reduce risk while boosting operational efficiency are prized.
Tailings engineers aren’t just designing structures - they’re safeguarding legacies.
For decades, mine planning has leaned heavily on deterministic models - tools that simplify the earth into a single version of the truth.
As global demand for clean energy technology intensifies and geopolitical tensions rise, the importance of critical minerals has reached new heights.
As ore grades decline and sustainability pressures rise, mining operations are being forced to find new ways to optimise resource extraction.
As global demand for high-purity copper climbs in step with electrification and renewable energy targets, attention is turning to the tankhouses that produce this critical metal.
In an industry where incremental improvements are the norm, a new variable-energy blasting system is delivering a true step change in underground blasting.
At the AusIMM 2025 Mineral Resource Estimation Conference, Dr Oscar Rondon, principal geostatistician at Datamine, tackled a question that has dogged mining professionals for decades: Is estimating recoverable resources still hopeless?
The talk revisited a decades-old challenge in resource estimation, combining Rondon’s clear communication with Assibey-Bonsu’s extensive experience in the mining industry.
