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-05FrontierWave 3AI
Generative Inter-Well Modeling
In one sentence
Fills the rock between wells with geologically plausible detail instead of a smooth interpolation that no outcrop ever looked like.
The problem
Conventional geostatistics produces models that honour the wells and are far too smooth everywhere else. Flow behaviour is controlled by the connectivity of that in-between rock, which the smooth model gets wrong.
How it works
A generative model trained on analogue outcrop and high-resolution field datasets produces multiple realisations conditioned on well data and seismic attributes. Realisations are screened for geological plausibility by a geologist before any of them reach a simulator.
Data required
- Well data with facies and petrophysical curves
- Seismic attributes or inversion volumes as soft conditioning
- A depositional analogue set appropriate to the environment
- Structural framework and zonation
What you get
- Multiple conditioned property realisations
- Connectivity metrics across the realisation set
- RESQML-ready grids for flow simulation
What it cannot do
Plausible is not correct. The realisations are consistent with the data and the analogue, and nothing in the method makes them true. They are useful for spanning uncertainty and dangerous if a single realisation is promoted to "the model", which is the most common way this technique is misused in the industry.
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.
Related capabilities
- 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-06Frontier
Deep Learning Seismic Interpretation
Picks faults and horizons across a full seismic volume in hours, leaving the interpreter to judge rather than to click.
Subsurface & Reservoir IntelligenceAI - SR-10Frontier
Development Well Placement
Searches for where the next wells should go, with drilling feasibility and surface constraints inside the search rather than applied afterwards.
Subsurface & Reservoir IntelligenceAIDomain - SR-01Frontier
Smart Proxy Reservoir Simulation
A learned stand-in for the full reservoir simulator that answers in seconds instead of hours, so an engineer can test fifty scenarios instead of three.
Subsurface & Reservoir IntelligenceAIDomain