Autonomous Komatsu 930E at Vale’s Salobo: pit–plant planning notes for engineers
Reviewed by Joe Ashwell
First reported on International Mining – News
30 Second Briefing
Autonomous Komatsu 930E haul trucks have gone live at Vale’s Salobo copper complex in Brazil, integrating with the mine’s existing high-throughput open-pit operation. In parallel, Vale Base Metals has approved a Coarse Particle Flotation (CPF) project at Salobo III, expected to add 6 Mt per year of ore to the plant’s processing capacity. The combination of AHS haulage and CPF will push higher tonnage through the pit–plant system, tightening constraints on dispatch planning, crusher feed control and tailings/water management.
Technical Brief
- Coarse Particle Flotation is expected to improve copper recovery from harder, coarser ore domains.
- CPF flowsheets typically alter cyclone cut sizes and reconfigure rougher–scavenger banks for coarse streams.
- Similar AHS–CPF combinations could shift bottlenecks from mining to downstream tailings and water circuits.
Our Take
The Salobo Copper Complex is already the focus of Vale Base Metals’ Coarse Particle Flotation roll‑out with Eriez HydroFloat®, so pairing that 6 Mt/y ore uplift with a Komatsu 930E autonomous fleet suggests a coordinated push to debottleneck both plant and haulage rather than treating them as separate upgrades.
Our coverage shows Vale Base Metals simultaneously investing in automation across the value chain in Brazil, with Sandvik AutoMine‑ready surface drills and now Komatsu autonomous trucks at copper operations, which likely simplifies future integration of fleet management and drill‑to‑mill optimisation at Salobo.
The LoopX–Vale Base Metals R&D work on “Physical AI” for underground fleets indicates that the Salobo autonomous truck deployment in Brazil could become a reference platform for Vale’s wider autonomy strategy, with lessons on safety cases, regulatory acceptance and change management transferable to other copper and nickel assets.
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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