Billabong Gold Project (Zimbabwe)

AI-Driven Targeting and 3D Structural Modelling

An advanced exploration study conducted within the Shamva–Bindura Greenstone Belt, focused on delineating structurally controlled orogenic gold mineralisation using AI-driven targeting, spectral analysis, and 3D geological modelling.

The project integrated multi-source datasets, including satellite spectral data, structural interpretation, and historical mining information, to identify mineralised corridors associated with shear zones, fault intersections, and hydrothermal alteration systems. AI-based probability modelling was applied to define and rank prospective zones.

The analysis resulted in the delineation of coherent mineralised trends and high-probability targets, supported by strong spatial correlation with known artisanal workings and regional structural controls. 3D conceptual modelling defined the geometry and continuity of mineralised zones, providing a basis for focused exploration.

A prospective target zone has been identified within the project area, representing a priority area for follow-up exploration. Based on comparative analysis with nearby mining operations and geological analogues within the belt, the zone is considered capable of hosting a mineralised system with a conceptual potential exceeding 800,000 ounces of gold, subject to verification through systematic exploration and drilling.