Exploration
As mineral explorers delve deeper into complex regolith terrains and undercover targets, the need for geochemical techniques that offer both precision and sensitivity has never been greater.
At this year’s AusIMM Mineral Resource Estimation Conference (MREC2025) in Perth, one presentation stood out not just for its rigour, but for its challenge to long-standing assumptions in resource modelling.
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.
In a bold shift from business-as-usual block modelling, a team of geologists has turned their attention to the part of the orebody most often ignored — waste — and what they’ve uncovered could reshape how mining operations plan for ESG risk.
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.
The 2025 South Australian State Budget has landed with all the fanfare of a damp squib for the state’s mineral exploration and mining sector.
At the 2025 Mineral Resource Estimation Conference (MREC2025) in Perth, Glencore principal geologist Bruno Afonseca presented a compelling case study that could help reshape how the mining industry quantifies and manages risk.
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.
