SR-07Foundational
Well Log QC & Missing Log Synthesis
Finds the bad intervals in the log archive and reconstructs curves that were never run, so the field has a complete set to work from.
Subsurface & Reservoir IntelligenceAI
SR-03IntermediateWave 2AI
Automated Facies Classification
In one sentence
Labels rock type from well logs across hundreds of wells consistently, which a team of interpreters working separately cannot do.
The problem
Facies interpretation in a mature field spans decades and dozens of interpreters. The same log response has been called three different things in three different studies, and the geomodel inherits all three.
How it works
A supervised classifier is trained on core-calibrated intervals and applied field-wide, with per-prediction confidence. Where the model is uncertain it abstains and routes the interval to an interpreter rather than guessing, and abstention rate is reported as a headline number.
Data required
- Standard log suite: GR, resistivity, density, neutron, sonic where available
- Core descriptions with depth-shifted core-to-log ties
- Existing facies interpretations for benchmark comparison
- Environmental corrections and normalisation between logging vintages
What you get
- Facies curve per well with confidence and abstention flags
- Field-wide facies consistency report against legacy interpretations
- RESQML export for the geomodelling workflow
What it cannot do
The model reproduces the scheme it was taught, including its errors. It cannot resolve facies that are not separable in the logged response — a cemented and an uncemented sand with the same porosity will not be split by a standard suite, no matter how the model is trained, and we say that up front rather than after delivery.
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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Measures porosity, grain size and fracture density from core photographs and CT scans instead of from a description written twenty years ago.
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Generative Inter-Well Modeling
Fills the rock between wells with geologically plausible detail instead of a smooth interpolation that no outcrop ever looked like.
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Produces P10, P50 and P90 production forecasts whose spread is calculated, not chosen to look reasonable.
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