Geological Insight

AI-powered conversion of images into core logging, face mapping, and look-ahead 3D DFN models, enabling safer, faster, and more predictable underground operations.

For further information, visit https://seerock.com.au/

At the excavation face

AI-Driven Face Mapping

Our face mapping engine automatically extracts structural and lithological information from high-resolution images of the excavation face.

Detects joints, faults, veins and bedding planes with high precision, even in noisy or dusty conditions.
Generates digital trace maps, fracture sets and orientation data ready for DFN and support design workflows.
Delivers consistent, repeatable interpretation across crews and projects, reducing subjectivity in mapping.

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Along the drill core

Automated Core Logging

Our automated core logging module turns core photos into structured geological logs and quantitative attributes.

Identifies lithology, structures and alteration zones directly from scanned core trays.
Computes RQD, fracture frequency and structural attributes to enrich traditional logging.
Provides an auditable digital record that links imagery, intervals and structural measurements.

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Ahead of the tunnel

Look-Ahead 3D DFN Model

The look-ahead 3D DFN module integrates mapped and logged structures with inversion and machine learning to forecast geological conditions ahead of the face.

Builds 3D DFN models constrained by face mapping, core logging and regional structures.
Highlights zones of high fracture intensity, water-bearing features and potential weak blocks ahead of excavation.
Supports support design, advance rates and hazard mitigation with scenario-based DFN simulations.

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