Fitzroy Minerals Inc. (TSXV: FTZ, OTCQX: FTZFF, FSE: C3Y) has announced the results of an integrated seismic and machine-learning targeting study completed with Fleet Space Technologies at its Buen Retiro Copper Project near Copiapó, Chile. The study identified nine previously untested exploration domains within 400 metres of surface, combining 3D Ambient Noise Tomography data with existing geophysical surveys and approximately 24,400 copper assays from 140 drill holes. With a 5,000-metre drilling program now underway, investors may be watching closely to see how the initial results compare against the machine-learning model's predictions.

Key Points

  • Fitzroy Minerals Inc. (TSXV: FTZ, OTCQX: FTZFF, FSE: C3Y) partnered with Fleet Space Technologies on an ML-driven copper targeting study at Buen Retiro, Chile.
  • Nine ranked, untested exploration target domains were identified, all within 400 metres of surface and beneath alluvial gravel cover.
  • A 5,000-metre combined RC and diamond drilling program has commenced to test the new targets.
  • Investors should watch for drill results and updates to the machine-learning model as assay data becomes available.

How Fleet Space ANT Surveys Mapped Buen Retiro's Deeper Geology

Fleet Space Technologies conducted both regional and infill Ambient Noise Tomography surveys at Buen Retiro, using natural seismic noise to construct a 3D subsurface image to approximately 400 metres depth. The release states this framework allowed Fitzroy to trace known mineralised trends and identify new opportunities beyond the reach of current drilling, including eastward toward the 100%-owned Sierra Fritis properties. Extensive alluvial gravel cover across the project area has historically complicated surface geological mapping, making the seismic imaging approach particularly relevant for target generation in this terrain.

Machine-Learning Model Integrates Four Geophysical Datasets With Drill Assays

The ML targeting phase combined four 3D geophysical datasets — ANT shear-wave velocity, IP chargeability, IP resistivity, and magnetic susceptibility — with approximately 24,400 copper assay results from 140 existing drill holes. The model was trained to predict zones where copper mineralisation could exceed a 0.5% Cu threshold within 25-metre blocks. Candidate blocks were then filtered to exclude previously mined ground and any area within 200 metres of an existing drill hole, focusing target selection on genuinely untested ground. The nine resulting domains represent clusters of blocks interpreted to be geologically significant and sharing characteristics with Buen Retiro's known mineralised zones.

5,000-Metre Drilling Program Underway to Test ML-Generated Targets

Fitzroy has commenced a 5,000-metre drilling program using diamond and reverse circulation rigs to test the nine new target domains. The company and Fleet Space will incorporate incoming drill logs and assay results to update and refine the ML model on an ongoing basis. The disclosure notes that each new drill hole serves to test a specific target, validate or improve the model, and inform subsequent drilling decisions. The technical context in the announcement cautions that the targets are conceptual, do not confirm the presence or grade of mineralisation, and are intended to complement conventional geological interpretation rather than replace it.