AI-assisted exploration analysis identifies copper targets in Botswana
Aim- and Botswana Stock Exchange-listed copper and diamond exploration company Botswana Minerals has announced that an AI-assisted exploration study across two of its eight northern Botswana licences has identified 36 copper anomalies grouped within six exploration corridors.
The licences lie within an underexplored geological corridor linking Namibia’s Damara Belt with the Central African Copperbelt of Zambia and the Democratic Republic of Congo, which the company describes as two of Africa’s most important copper regions.
Botswana Minerals says the anomalies identified share the geological characteristics of several major operating and historical deposits, adding that fieldwork to identify the top targets for drilling will begin shortly. The ongoing work is evaluating the remaining six licences.
“There is no doubt that AI techniques are revolutionising identification of mineral targets. The ongoing analysis of our huge database continues to provide outstanding results,” says Botswana Minerals chairperson John Teeling.
“The work completed to date, covering two of our eight licences in northern Botswana, has identified 36 copper anomalies.
“The analysis uses data from copper mines around the world to identify areas with similar geological characteristics, with the next step to rank these anomalies to better focus future fieldwork and any subsequent drilling decisions. This involves deeper AI analysis to support targeted field work.”
Moving forward, Botswana Minerals says it will proceed by undertaking initial field work expected to begin within three months; applying the same AI-assisted methodology across its six remaining northern Botswana licences; refining and ranking the 36 target areas identified to date; planning field programmes across the highest-priority corridors; and preparing the next phase of exploration work based on the integrated target inventory.
