Workflow Management
A convergence monitoring revolution is underway in Tasmania.
In the ever-evolving field of mineral exploration, the challenge of interpreting surface geochemical data in complex terrains has long limited early-stage targeting success.
When MMG’s Rosebery operation in Tasmania rolled out a fatigue detection system for its underground truck fleet, it wasn’t just about plugging in hardware — it was about rewiring the mindset of a seasoned workforce.
When Laércio Bertossi took to the stage at AusIMM’s 2025 Mineral Resource Estimation Conference in Perth, he didn’t unveil a new machine learning model or simulation breakthrough.
In the remote Altai Mountains of eastern Kazakhstan, a centuries-old underground mine is undergoing a transformation.
Underground haulage is often regarded as a necessary bottleneck—an unavoidable compromise between ore delivery and operational congestion.
What if resource estimation wasn’t just updated, but completely reimagined? At the AusIMM 2025 Mineral Resource Estimation Conference in Perth, two respected voices in the field—Jacqui Coombes and Paul Hodkiewicz—stepped away from PowerPoint slides and into a candid, thought-provoking dialogue that challenged the mining industry to rethink its most foundational assumptions.
At a time when the mining industry is grappling with increasingly complex ore bodies, evolving digital toolsets, and growing demand for speed and precision, one standout case study is helping reshape how we think about resource modelling.
When Sweden-based miner Boliden set out to futureproof its Renström underground operations for autonomous mining, it quickly ran into a persistent problem: water.
What if you could fast-forward a century to see whether your rehabilitated mine landform holds its shape or collapses into a network of gullies?
At a recent seminar hosted by the Office of the Queensland Mine Rehabilitation Commissioner (OQMRC), one message rang clear: erosion and landscape evolution models are no longer just academic exercises—they’re digital crystal balls for mine closure planning.
