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    Fermi Exploration’s Perch River uranium project: ExoSphere survey insights for drill design

    January 22, 2026|

    Reviewed by Joe Ashwell

    Fermi Exploration’s Perch River uranium project: ExoSphere survey insights for drill design

    First reported on International Mining – News

    30 Second Briefing

    Deployment of Fleet Space Technologies’ ExoSphere ambient noise tomography platform at Fermi Exploration’s Perch River uranium project in Saskatchewan’s Athabasca Basin is refining subsurface imaging and defining a new high-priority exploration corridor. Satellite-connected geophones are generating 3D velocity models to map structure beneath cover, allowing Fermi to tighten drill targeting and reduce reliance on wide-spaced reconnaissance holes. For geologists and geophysicists, the work signals broader use of rapid passive seismic surveys to de-risk early-stage basement-hosted uranium exploration in deeply covered terrains.

    Technical Brief

    • Integration with existing geophysics and geology at Perch River is refining structural interpretations at depth.

    Our Take

    Uranium items in our database are relatively few compared with gold and battery metals, so Fermi Exploration’s work at Perch River in Saskatchewan stands out as part of a smaller cluster of Athabasca Basin coverage where exploration-stage decisions can materially shift project pipelines.

    For Athabasca Basin uranium, early-stage geophysical targeting like Fleet Space’s ExoSphere at Perch River is strategically important because deep, structurally controlled deposits often sit under thick cover, making conventional drilling campaigns in Canada both capital-intensive and slow to refine.

    Deploying space-enabled geophysics at a greenfield uranium project in Saskatchewan suggests juniors are looking for ways to compress targeting timelines and de-risk initial drill programmes, which can be critical for securing follow-on funding in a market where uranium stories compete with more numerous battery-metal projects in our coverage.

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    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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