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Hengjaya nickel mine adopts CCLAS: assay data control and grade insights for engineers

August 10, 2026|

Reviewed by Joe Ashwell

Hengjaya nickel mine adopts CCLAS: assay data control and grade insights for engineers

First reported on Australian Mining

30 Second Briefing

PT Hengjaya Mineralindo has deployed Datamine’s CCLAS laboratory information management system at its Hengjaya open-pit laterite nickel mine in Morowali, Central Sulawesi, to tighten control of saprolite and limonite assay data. The system centralises sample tracking, results validation and reporting across the nickel laboratory workflow, reducing manual data entry and the risk of transcription errors. More reliable, time-stamped laboratory data supports tighter grade control, reconciliation and ore blending decisions for the Nickel Industries Limited subsidiary.

Technical Brief

  • CCLAS enforces predefined analytical methods and calculation routines, standardising nickel assay workflows across Hengjaya’s lab.
  • Automated instrument result capture into CCLAS removes intermediate spreadsheets from the nickel assay chain.
  • Role-based access in CCLAS constrains who can edit, validate or approve Hengjaya assay datasets.
  • Centralised configuration allows Hengjaya to manage separate workflows for saprolite and limonite sample types.
  • CCLAS audit trails record every change to assay results, supporting internal QA/QC and external compliance reviews.
  • Integration-ready data structures in CCLAS facilitate downstream links to mine planning, grade control and reconciliation systems.
  • For laterite nickel operations, similar LIMS deployments reduce manual compositing errors in multi-bench ore blending.

Our Take

Datamine’s recent 2026 software upgrades emphasise tighter integration between laboratory information management and mine planning, so Hengjaya’s adoption of CCLAS positions its nickel and laterite (saprolite/limonite) data to feed directly into more advanced planning and reconciliation workflows.

With Datamine also expanding into geometallurgical modelling and short‑interval control tools, consistent lab data from the Hengjaya nickel mine in Central Sulawesi can be expected to underpin more reliable recovery and blending models for differing saprolite and limonite ore types.

Nickel appears in only a subset of the 38 Software stories in our database, suggesting that PT Hengjaya Mineralindo and Nickel Industries Limited are among a smaller group of nickel operators actively formalising digital lab and data infrastructure rather than relying on ad‑hoc assay management.

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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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