QX Resources Ltd. has released the JORC-compliant exploration target for its Madaba uranium project in southern Tanzania, laying the groundwork for a maiden resource drilling campaign later this year.
The exploration target is estimated at 20 to 30 million tonnes grading 400 to 500 parts per million uranium ore, containing approximately 18 to 33 million pounds of uranium ore.
The conceptual estimate was derived from a newly digitised and 3D-modelled dataset of historical exploration completed by German firm Uranerzbergbau GmbH between 1978 and 1982.
QX Resources intentionally focused the target on high-grade, near-surface mineralisation to evaluate potential open-pit mining pathways.
Historical intercepts from the deposit highlight strong supergene enrichment within the top 10 metres of surface, including 15 metres at 612 ppm uranium ore, featuring three metres at 2,465 ppm, and seven metres at 693 ppm uranium ore.
QX Resources Non-Executive Director Russell Bradford noted the structural and geological similarities between Madaba and the nearby world-class Nyota Uranium Deposit.
“Having been closely involved with Mantra Resources during the discovery and early delineation of the Nyota deposit, I see clear geological parallels at Madaba – the same basin, the same Karoo sandstone host, the same style of near-surface supergene enrichment,” Bradford said.
“What sets Madaba apart at this stage is the quality of the historical work already completed and the fact that it has been digitised, modelled in 3D and independently reviewed. We are not starting from a blank sheet of paper.”
QX Resources Executive Chairman Maurice Feilich added that the Target provides a solid technical foundation to advance nine priority, drill-ready targets across the 613-square-kilometre tenure.
The company plans to launch a maiden drilling program alongside high-resolution airborne radiometric surveys in the second half of 2026, pending environmental approvals, with the primary objective of converting the exploration target into a maiden mineral resource estimate.