Never Never ramps up for Ramelius: planning and processing notes for gold engineers
Reviewed by Joe Ashwell

First reported on Australian Mining
30 Second Briefing
Ore production at the Never Never underground mine in Western Australia more than doubled to 115,000 tonnes in the June quarter, with head grade lifting to 5.95g/t as Dalgaranga completed its first full quarter supplying Ramelius Resources’ Mt Magnet processing hub. The ramp-up helped drive group gold output to 53,466oz, signalling stronger mill feed quality and higher throughput at the central plant. For mine planners and metallurgists, the combination of increased tonnage and grade at Never Never will influence stope sequencing, backfill scheduling and processing blend strategies across the Mt Magnet–Dalgaranga circuit.
Technical Brief
- Never Never ore is trucked to Ramelius’ central Mt Magnet plant, enforcing haulage and scheduling constraints.
- Dalgaranga now operates as a satellite ore source, structurally tied into the Mt Magnet processing circuit.
- Centralised processing at Mt Magnet removes the need for a standalone Dalgaranga mill and associated fixed plant.
- Underground production from Never Never must align with Mt Magnet plant availability to avoid stockpile rehandling.
- Higher-grade Never Never feed allows Mt Magnet to displace lower-grade open pit ore in the blend.
- Dalgaranga’s first full quarter of integration provides baseline data for future mine plan and mill debottlenecking.
- Consolidation of Dalgaranga into the Mt Magnet hub reduces unit processing costs via shared power, labour and maintenance.
- Similar hub-and-spoke configurations in Western Australian goldfields are increasingly used to sweat existing mill capacity.
Our Take
The 5.95g/t ore from the Never Never underground mine being trucked to the Mt Magnet processing hub, as noted in the February 2026 piece, positions Ramelius Resources’ Mt Magnet operations towards the higher-grade end of the Western Australian gold assets in our database, which can materially improve unit margins if throughput is maintained.
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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