Mining laboratories are responsible for generating analytical data that directly influences resource estimation, metallurgical performance and operational decisions in mining companies.
In many operations, laboratory workflows involve thousands of samples per week. These samples must be tracked through preparation, analysis, QA/QC validation and reporting stages.
The Risks of Manual Systems
Without structured information systems, laboratories often rely on spreadsheets, manual processes and disconnected databases. These approaches introduce critical operational risks:
- Limited traceability of samples across the process.
- Difficulty validating QA/QC results reliably.
- Fragmented analytical data stored in different formats.
- Slow reporting cycles that delay decision-making.
- Reduced visibility for operational teams.
Escaping the Goliath Trap
Most mining laboratories suffer not from a lack of technology, but from mismatched technology. Generic "Goliath" pharmacological LIMS architectures are built for 300+ user clinics, forcing mining operations to hire external consultants just to deploy a basic metallurgical turnaround flow. OnLIMS directly confronts this inefficiency. By adhering exclusively to the 20-30 user mining laboratory scale, OnLIMS delivers a native mathematical engine without requiring bloated external consulting. We establish a direct, 1-to-1 operational pipeline designed solely for resource estimation and metallurgical assay validation.
Digital Infrastructure for Modern Labs
A Laboratory Information Management System (LIMS) provides the digital infrastructure required to manage these workflows efficiently. By implementing a mining-focused LIMS, laboratories can gain significant advantages:
A mining-focused LIMS supports structured sample lifecycle management, from the moment a request is created to the final publication of certificates of analysis. This ensure every step is logged and auditable.
Key Capabilities
- QA/QC monitoring and automated statistical validation.
- Automated instrument integration to eliminate data entry errors.
- Real-time laboratory reporting and dashboards.
- Seamless integration with geological and operational systems like ERP and SAP.
The result is a more efficient operation, with higher data throughput and minimal operational bottlenecks. Laboratories can focus on high-precision analysis rather than administrative overhead.