Asankrangwa Gold Project (Ghana) – Mineral Resource Estimation

Work Conducted:
AI-driven spectral analysis, AI-driven mineral exploration targeting, assessment of alluvial gold potential, integration of historical and new drilling results, 3D geological modelling and Mineral Resource Estimation (JORC 2012).

Commodity: Gold (Au)

AI-Driven Exploration Analysis

AI-assisted workflows were applied to:

• Spectral analysis and mineral prospectivity mapping

• Generation and ranking of mineral exploration targets

• Identification of prospective geological and structural target zones

• Assessment and delineation of alluvial gold potential areas

• Evaluation of spatial relationships between spectral responses, geology, structure and known mineralisation

• Prioritisation of areas for drilling and follow-up exploration

Drilling and Resource Evaluation

• More than 26,000 m of drilling completed

• Drilling results integrated into the geological and 3D mineralisation model

• Inferred Mineral Resource: 5.4 Mt @ 0.9 g/t Au (~150 koz Au)

• Exploration Target: 42–63 Mt @ 0.5–0.8 g/t Au (0.9–1.3 Moz Au)

• Strong spatial correlation observed between AI-generated exploration targets and drilling results

Outcome

The project demonstrated the practical application of AI-driven exploration targeting and spectral analysis for identifying prospective mineralised and alluvial gold areas.

AI-based targeting supported the definition and prioritisation of exploration zones, while drilling data, geological interpretation and 3D modelling provided the basis for Mineral Resource evaluation and further assessment of resource expansion potential.