Rufunsa Gold–Copper Project (Zambia)

AI-Driven Targeting, GPR / LOZA Integration and Exploration Design

An integrated exploration programme combining AI-driven mineral targeting with GPR, LOZA and Induced Polarisation (IP) geophysical surveying, supported by spectral analysis, structural interpretation and geochemical data.

The study identified structurally controlled gold–copper mineralisation associated with shear zones, fault corridors and structural intersections.

Multi-source data integration enabled the development of a coherent 3D geological and mineralisation model, integrating near-surface structural information with deeper geophysical responses.

GPR profiling was used to define shallow structural features and disrupted zones. LOZA surveying provided subsurface structural and conductivity information to approximately 200 m depth, while IP surveying extended the investigation of chargeability and resistivity anomalies to approximately 400 m depth, supporting interpretation of deeper sulphide-related targets.

The integrated interpretation resulted in the generation of high-confidence drill targets and an optimised exploration design, reducing geological uncertainty and improving the precision of follow-up drilling.