SR-03Intermediate
Automated Facies Classification
Labels rock type from well logs across hundreds of wells consistently, which a team of interpreters working separately cannot do.
Subsurface & Reservoir IntelligenceAI
SR-04IntermediateWave 3AI
Digital Rock & Core Image Analysis
In one sentence
Measures porosity, grain size and fracture density from core photographs and CT scans instead of from a description written twenty years ago.
The problem
Core is the most expensive data an operator owns and the least used. Boxes are photographed once, described qualitatively, and then stored; the quantitative information in the images is never extracted.
How it works
Segmentation models run over core photographs, CT slices and thin-section images to quantify pore geometry, grain-size distribution and fracture intensity. Results are depth-registered against the log suite so they can be used as calibration points rather than sitting in a separate report.
Data required
- Core photographs — white light and UV — at consistent scale with a colour reference
- CT scans or thin-section images where available
- Core-to-log depth shifts
- Routine core analysis results for calibration
What you get
- Quantified porosity, grain size and fracture intensity curves at core scale
- Core-log calibration points with uncertainty
- Searchable core image archive tagged by feature
What it cannot do
Image-derived porosity is a two-dimensional estimate and systematically disagrees with helium porosity by a few porosity units; we report the offset rather than hiding it. Legacy core photographs without a colour reference or a consistent scale bar cannot be calibrated at all, and in most archives that is the majority of the older boxes.
Every capability page states a real limitation. If a vendor cannot tell you where their product stops, you are not being told the truth about where it starts.
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Subsurface & Reservoir IntelligenceAI