Automated Core Logging

The automated core logging module turns high-resolution core photographs into structured geological logs and quantitative attributes, delivering design-ready datasets for geological and mining workflows.

Powered by AI-driven image understanding, the module automatically identifies lithology and geological structures, computes RQD and fracture metrics.

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Key Advantages

Converts core photos into structured lithology, structure and alteration logs with consistent interpretation across trays and programs.
Automatically computes RQD, fracture frequency and structural statistics to enrich traditional logging.
Links imagery, intervals and measurements into a single auditable digital record with full QA/QC.
Supports high-throughput, in-shift processing so geological and geotechnical teams can react while drilling is in progress.
Standardises logs across crews and contractors, improving comparability between holes, campaigns and sites.

Solving Industry Limitations

Manual core logging is slow, labour-intensive and difficult to scale for continuous or multi-rig operations.
Logs are often subjective and dependent on individual logger experience, reducing confidence in downstream models.
Paper or spreadsheet workflows make it hard to trace decisions back to imagery and raw measurements.
Structural and geotechnical metrics such as RQD and fracture spacing are not consistently captured or auditable.
Limited digital integration with modelling tools delays the impact of new drilling information on design and planning.