Patagonia Lithium Ltd. has identified 10 new total rare earth element (TREO) targets across its concessions in Goiás State, Brazil, after deploying a deterministic AI-driven geophysics system.
The company utilised an advanced targeting system known as LOGOS to refine exploration planning across concessions 860164 and 860165.
The software operates on an open-data process model using regional geophysics, including magnetics, gravity, satellite-derived indices, and gamma-ray spectrometry, to generate prospective maps without requiring internal training datasets.
LOGOS identified 10 new drill targets located within a few kilometres of Patagonia’s prior sample locations, significantly reducing prospective risk and exploration expenditure. The predictions were validated by two independent analytical systems, which confirmed the target locations within single-digit kilometres.
During local blind testing, the system demonstrated precise predictive capabilities, with 100 per cent of predictions falling within a two-kilometre radius of known sample points and achieving a median error of just 280 metres.
On a regional scale, LOGOS captured five out of five known REE-bearing carbonatite complexes within 30 kilometres, coming within 1.3 kilometres of the Araxá Carbonatite and 2.6 kilometres of Catalão I.
Patagonia Lithium Executive Chairman Phillip Thomas expressed confidence in the technological approach.
“We were able to utilise the latest AI and other technology to sure up our augur and drill targets in Goiás state to drastically improve our chances of REE discovery in ionic clays,” Thomas said.
“While using AI is useful, this process has been very rewarding so far and we are impressed with the Logos System and its results.”
The top five prospective targets, scoring between 0.92 and 0.89, have been prioritised for immediate field ground-truthing, soil sampling, and rock-chip testing within the metasomatic halo of the Catalão complex.
Patagonia plans to commence shallow auger sampling to test for ionic clay deposits before completing a follow-up ground magnetics survey to further map local subsurface structures.
