Botswana Minerals (AIM:BMIN) has used AI-assisted analysis to identify 36 copper anomalies grouped into six exploration corridors on two of its eight northern Botswana licences.
The AIM- and Botswana Stock Exchange-listed copper and diamond exploration company said the licences lie on a geological corridor linking Namibia's Damara Belt with the Central African Copperbelt and that the anomalies show features common to major sediment-hosted and carbonate-hosted deposits.
"There is no doubt that AI techniques are revolutionising identification of mineral targets," said John Teeling, Chairman.
The study used Planetary AI's Xplore platform to integrate geological mapping, structural data, magnetic and gravity geophysics, multi-element geochemistry and remote sensing, and results were reviewed by experienced geologists.
Key indications across the corridors include geochemical and geophysical anomalies aligned with major faults, widespread favourable carbonate host rocks, possible hydrothermal/IOCG-style signatures and magnetic alteration consistent with district-scale mineralisation.
Botswana Minerals said it will refine and rank the 36 targets, plan field programmes across the highest-priority corridors and begin initial field work within three months.
The company will also extend the same AI evaluation to its six remaining northern licences and prepare an integrated target inventory to support the next phase of exploration.
