Reviewed by Lexie CornerDec 3 2024
Greenridge Exploration Inc. announced that KorrAI Technologies Inc.’s (“KorrAI”) advanced AI and remote sensing technologies program (the “Program”) has successfully conducted extensive mapping of Fe-oxide targets, uncovering numerous high-priority prospects at the Company’s Nut Lake Uranium Project (“Nut Lake Property” or the “Project”). By integrating geospatial data, radiometric surveys, and field samples, the exploration focus has been refined to concentrate on promising uranium targets.
Greenridge’s Nut Lake Property boundary with AI-mapped outcrop and satellite-derived zones of elevated biogeochemical stress. Image Credit: Greenridge Exploration Inc.
Pairing the KorrAI technology with our ground programs has significantly increased our understanding of the Nut Lake Property. The Company expects to receive its 2024 ground exploration results in the coming weeks. The program included (17) sample locations that showed readings greater than 30,000 cps, with six (6) sample locations registering off-scale radioactivity. These results will be integrated with the high-priority targets identified by KorrAI, enabling Greenridge to develop a well-informed drilling program.
Russell Starr, Chief Executive Officer, Greenridge Exploration Inc.
Key Outcomes
Outcrop Prediction and Analysis
KorrAI’s Convolutional Neural Network models effectively detected clean, vegetation-free outcrops. Using custom training models, the system generated a heatmap highlighting project-ready outcrop clusters. The results revealed a substantial concentration of outcrops in the eastern portion of the Project, with additional significant clusters located inland in the west.
Fe-Oxide Target Prioritization
Fe-oxide band ratios were statistically analyzed, prioritizing outcrops with high mean, high maximum, and low standard deviation values relative to surrounding features. A total of 564 Fe-oxide targets were identified, with 120 classified as high-priority. These targets align with the uranium exploration model linked to hematite alteration.
Refined Exploration Targets
Spatial correlations among multiple datasets, including biogeochemical stress anomalies, radiometric surveys, and known uranium occurrences, were used to refine exploration targets. High-priority targets were further delineated based on their proximity (200–300 m) to upstream radon-induced vegetation stress anomalies, indicators of radioactive decay, and structural features.
Validation of Existing Data
The convergence of biogeochemical stress heatmaps with prior radiometric survey data reinforces confidence in the identified anomalies, offering additional validation for the exploration strategies.
Implications for Future Exploration
The incorporation of KorrAI’s geospatial datasets is set to optimize Greenridge’s exploration strategy, enabling a targeted focus on high-priority targets. This approach aims to accelerate fieldwork, lower costs, and increase the probability of significant discoveries at the Nut Lake Property.
KorrAI’s advanced technology highlights Greenridge’s dedication to innovation in mineral exploration. The results at the Nut Lake Property not only enhance the Project’s immediate potential but also establish a model for applying AI and hyperspectral imaging in future exploration initiatives.
The partnership with KorrAI sets a new standard for integrating AI, hyperspectral imaging, and field data, driving advancements in mineral exploration. Greenridge plans to utilize these insights to broaden its exploration efforts and deliver measurable outcomes in upcoming field programs.