Botswana Minerals’ AI study uncovers 36 copper anomalies

Botswana Minerals has reported that an AI-assisted exploration survey discovered 36 copper anomalies wrong 2 of its 8 bluish Botswana licences, organised into six exploration corridors.

The licences are situated successful an under-explored geological corridor connecting Namibia's Damara Belt with Zambia and the Democratic Republic of Congo's (DRC) Central African Copperbelt, some cardinal copper regions successful Africa.

The identified anomalies grounds geological traits akin to large existing and historical deposits.

Botswana Minerals plans to commence archetypal fieldwork wrong 3 months.

It volition refine and prioritise the 36 identified people areas, make tract programmes for cardinal corridors and program the adjacent signifier of exploration based connected the integrated people inventory.

The institution plans to marque further announcements successful owed course.

The appraisal utilised Planetary AI's Xplore platform, combining instrumentality learning (ML) with adept geological insights to place areas from broad datasets.

This included geological mapping, structural and geophysical data, geochemistry and distant sensing.

Geological features bespeak imaginable for sediment-hosted and structurally controlled mineralisation, arsenic good arsenic robust oxide copper gold-style systems.

The targets stock similarities with large deposits specified arsenic Kamoa-Kakula successful the DRC and Tsumeb successful Namibia.

Botswana Minerals president John Teeling said: “There is nary uncertainty that AI techniques are revolutionising recognition of mineral targets. The ongoing investigation of our immense database continues to supply outstanding results.

“The investigation uses information from copper mines astir the satellite to place areas with akin geological characteristics, with the adjacent measurement to fertile these anomalies to amended absorption aboriginal fieldwork and immoderate consequent drilling decisions. This involves deeper AI investigation to enactment targeted fieldwork.”

"Botswana Minerals’ AI survey uncovers 36 copper anomalies" was primitively created and published by Mining Technology, a GlobalData owned brand.

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