Automated Borehole Log Interpretation

Traditional methods often miss subtle geochemical patterns indicative of high-grade zones. Our platform uses machine learning to correlate multi-sensor data (spectral, density, resistivity) with assay results, predicting grade between sample points.

• Real-World Example: By identifying a previously overlooked alteration halo, an operator added an estimated 500,000 tonnes of +1.5% Cu equivalent to their block model without additional drilling.
• Key Benefit: Maximize the value of every meter drilled by extracting more predictive intelligence from your existing data.

Sending every meter of core for full assay suites is prohibitively expensive. Our AI acts as a smart triage system, identifying intervals of high interest for detailed lab analysis and classifying waste rock in real-time.

• ROI Calculation: For a 50,000-meter program, reducing lab samples by 30% can save over $250,000 in direct costs, plus associated logistics and time.
• Key Benefit: Optimize your sampling budget, focusing capital on the highest-value analyses while maintaining geological confidence.

Waiting for reports from a central office or external lab stalls operations at the drill rig. Our cloud-based platform provides instant, mobile-accessible interpretations, empowering field geologists and managers.

• Operational Efficiency: Make same-day decisions on drill hole continuation, trajectory adjustments, or target refinement, keeping the rig productive.
• Key Benefit: Move from a batch-processing model to a continuous intelligence loop, increasing operational agility and resource efficiency.

Critical geological knowledge is trapped in disparate PDFs and individual expertise. Our system structures all interpreted data into a queryable digital twin of your deposit.

• Strategic Advantage: Instantly compare new drill holes against historical analogs across your portfolio. Ask questions like, "Show me all intervals with similar geophysical signatures to our high-grade Zone A."
• Key Benefit: Preserve and leverage institutional knowledge, making your entire drilling history a proactive asset for future exploration and mine planning.

A national geological survey digitized and reprocessed 50 years of historical paper logs using AI-powered OCR and interpretation. The project identified previously overlooked mineralized trends in mature basins.

• Transformed dormant data into a searchable, analyzable digital asset.
• The AI system recognized patterns across decades of data that were invisible to individual geologists, highlighting new exploration targets adjacent to old mines.
• This approach turns historical data from a storage cost into a competitive intelligence asset.

Automated log interpretation is not a standalone tool. Its true power is as the ground-truth input layer for our broader Subsurface Sensing and Geological AI Intelligence platform.

• Log data trains and validates our AI-Powered Mineral Deposit Mapping models, increasing their accuracy.
• Results feed directly into Dynamic Ore Reserve Estimation, ensuring resource models update in near real-time with new drilling.
• Combined with Predictive Mine Slope Stability Analysis, it provides a complete geotechnical and geological profile for safer, more efficient mine design.

The business case is clear: accelerate time-to-discovery and reduce capital waste.

• Faster Discovery: Reduce the exploration cycle, bringing revenue-generating assets online sooner.
• Lower OPEX: Cut laboratory, contractor, and manual labor costs associated with log analysis.
• Reduced CAPEX Risk: Make better-informed drill/no-drill and acquisition decisions with higher-confidence data.
• Strategic Agility: Enable small, agile exploration teams to analyze data at the scale of major corporations, leveling the competitive field.