Dundas Minerals has leveraged advanced AI technology to identify multiple high-priority gold targets beneath shallow cover in its Gerry Well Greenstone Belt tenements, signaling a promising new chapter in its exploration journey.
- Independent AI review identifies multiple high-priority gold targets
- Gerry Well covers 612km of underexplored greenstone belt
- Targets comparable to known multi-million-ounce gold systems
- Next phase includes field validation and scout drilling
- Technical leadership by ex-Barrick geologist Graeme Purcell
AI-Driven Breakthrough in Gold Exploration
Dundas Minerals Limited has announced a significant advancement in its exploration efforts at the Gerry Well Project in Western Australia. Utilizing SensOre’s proprietary AI-powered Discriminant Predictive Targeting (DPT®) and adjacency modelling, the company has pinpointed multiple high-priority gold targets within its extensive 612 square kilometre tenement package. This underexplored greenstone belt, part of the northern Yilgarn Craton, has long been recognized for its gold potential but remained largely obscured beneath shallow sedimentary cover.
Harnessing Machine Learning to Unlock Hidden Potential
The AI model integrated over 130 geophysical variables, including gravity and magnetic data, to predict geological domains likely to host gold mineralisation. Trained on known multi-million-ounce deposits nearby, the machine learning algorithms achieved high accuracy in identifying geological signatures and deposit adjacency. Notably, the model highlighted several northwest-trending shear corridors and iron-formation host rocks as prime targets, many of which have never been drill tested.
Validation and Next Steps
Some AI-identified zones overlap with historic drill intersections, such as a notable 4m interval grading 1.35 g/t gold, including 1m at 5.45 g/t, lending credibility to the model’s predictions. Dundas is now preparing to integrate these AI outputs into its geological framework, prioritizing field reconnaissance and surface sampling to refine target zones. Scout drilling programs are planned to test the two highest-ranked gold endowment areas, aiming to advance these conceptual targets toward drill-ready status.
Strategic Leadership and Regional Context
Technical Director Graeme Purcell, formerly with Barrick Gold, is spearheading the exploration strategy, bringing valuable expertise to the project’s next phase. The Gerry Well Greenstone Belt is structurally complex and analogous to nearby prolific gold systems such as Moolart Well and Garden Well, which host multi-million-ounce deposits. Dundas’s dominant position in the northern portion of this belt positions it well to capitalize on these newly identified targets.
Cautious Optimism Amidst Early-Stage Exploration
While the AI-driven results represent a major step forward, Dundas emphasizes that these findings are conceptual and do not yet constitute formal mineral resource estimates. Further drilling and validation are essential to confirm the extent and grade of mineralisation. Nonetheless, the data-driven approach provides a clear roadmap for efficient exploration in a region with significant untapped potential.
Bottom Line?
Dundas Minerals’ AI-led targeting ushers in a new era of focused exploration with promising gold discoveries on the horizon.
Questions in the middle?
- How will upcoming drill results validate the AI-generated targets?
- What are the timelines and budgets for the planned scout drilling programs?
- Could this AI methodology be applied to other Dundas projects or regional greenstone belts?