
From the reservoir to the export compressor, on one set of physics.
Coupled subsurface geomechanics, physics-based digital twins of the surface plant, reconciled asset data and environmental monitoring, with the reasoning on every number.
- 01Below ground
- Rock and fluid deform and flow together. We use coupled poromechanics for the subsidence, compaction and wellbore questions that a model with constant rock compressibility gets wrong.
- 02Above ground
- Separators, compressors and pipelines from several decades and vendors, in one calibrated model that says what a reading means and what it will do next.
- 03One name per well
- Historian, maintenance system, engineering register and GIS reconciled before any model is built, with the source on every value.
01Pain points
What we help solve
- 01
Compaction and subsidence measured before they are predicted
Reservoir models with a constant rock compressibility miss compaction, wellbore instability and caprock stress until the effects show at surface.
- 02
No model that spans the facility
Equipment from different eras, data in SCADA, historians and maintenance systems, and nothing that connects a compressor's readings to its thermodynamics.
- 03
The same well under five names
The historian, the CMMS, the engineering register, the GIS layer and a spreadsheet each identify the well differently. Every analysis inherits the mismatch.
- 04
Alerts nobody signs off on
Black-box scores for a trip or a failure arrive with no reasoning, so the supervisor accountable for the decision ignores them.
02Capabilities
Our work in oil and gas
Subsurface physics, surface models, reconciled data and monitoring, in whatever order the problem needs.
- Poromechanics and reservoir geomechanics
Flow and deformation solved as one coupled system.
- Coupled flow and deformation for compaction and subsidence
- Wellbore stability for drilling and completion design
- Hydraulic fracture propagation
- Caprock integrity for CO₂ storage
- Facility digital twins
Component to facility, from the thermodynamics, calibrated on your history.
- Multi-level models from a single separator to the export network
- Calibration against the plant's operating history
- What-if on throughput, deferment and intervention, with the consequences quantified
- Predictions that hold across operating regimes
- Asset data reconciliation
One identity per well, per tag and per work order, with the source on every value.
- Entity resolution across SAP PM, Maximo, PI, GIS and spreadsheets
- Provenance on every reconciled value
- Ambiguous matches routed to an engineer for a decision
- Demonstrated on the public Volve dataset (SODIR, NLOD licence)
- Monitoring and environmental detection
Automatic detection from imagery.
- Spill detection and extent estimation from imagery
- Emissions tracking with automated alerting
- Fusion of satellite, drone and fixed-camera sources
- Automatic incident reports
03Questions
Questions we take on.
01How much more will this field subside over ten more years of production, and what does that do to the wells?
02Can the export compressor run above nameplate through August without bringing the overhaul forward?
03Which of the 40,000 tags in PI belong to assets that also exist in SAP under a different name?
04Solutions
Solutions we draw on
All solutions01Industrial AI
Industrial AI and automation
First-principles digital twins, forecasts with the reasoning attached, computer vision and autonomous systems for plants, fleets and cities, with the cause and the confidence shown next to every number.
02Simulation
Engineering simulation
Custom and open-source solvers for design, certification and optimisation. We cover fluids, structures, heat and electromagnetics, coupled where the physics is coupled, on infrastructure you control.
03Research
Scientific research and development
Model formulation, discretisation, convergence analysis, physics-informed learning and foundation models for simulation, built to run at industrial size.
04Software and HPC
Software engineering and HPC
Parallelisation, GPU kernels, simulation pipelines, testing and deployment for numerical software that has to run in production.
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