Brazil survey plan: access, data priority and licence risks for mine planners
Reviewed by Joe Ashwell

First reported on MINING.com
30 Second Briefing
Brazil’s Geological Survey (SGB) is advancing a 10‑year, 3.3‑billion‑real airborne geophysical survey plan that could grant co‑funders such as Petrobras and Vale temporary exclusive access to magnetics and conductivity data before it becomes public. Because Brazil’s Mining Code awards exploration rights to the first qualifying applicant, early access to regional datasets could let major backers secure prime copper, gold, iron ore, lithium and rare earths ground ahead of juniors. Industry groups including ABPM are pushing for strict safeguards, seeking exclusivity capped at six months, limited to co‑funded areas and with no mineral rights priority attached.
Technical Brief
- Any co-funding deal must define which airborne data are restricted, permitted uses, and confidentiality duration.
- SGB confirms private finance cannot unilaterally dictate flight locations, only propose priority areas within national planning.
- Current SGB airborne datasets are free; before 2017, companies paid while universities waited six months for access.
- Australian Cobar survey precedent: 800 km of extra flight lines funded by explorers, with 12‑month data moratorium.
- Western Australia’s co-funding model covers up to 50% of survey costs (cap A$250,000), with data released after three months.
- USGS–Rio Tinto Montana partnership and Canada’s GEM‑GeoNorth programme both publish all airborne survey data openly.
- ABPM proposes exclusivity, if allowed, be capped at six months, limited to co-funded areas, with zero mineral-rights priority.
Our Take
The proposed 10‑year, 3.3‑billion‑real PlanGeo Geofísica puts Brazil’s SGB on a similar footing to Geoscience Australia and Natural Resources Canada, which in our coverage have used large, state-funded datasets to de‑risk early‑stage copper, gold and rare earths exploration and pull in juniors as well as majors.
Our database already shows SGB moving towards AI‑assisted mineral prospectivity work via its later technical cooperation accord with the Geological Survey of Canada (PDAC 2026), so this baseline geophysical grid is likely being designed with machine‑learning‑ready coverage and metadata standards in mind.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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