Technology driving performance and sustainability.
We have no operating assets today. This is the standard we intend to build to, and it is a design commitment rather than a description of systems in place.
What we intend to build.
AI Analytics
Machine learning models will monitor operational data across our asset portfolio, identify anomalies before they become failures, optimise routing decisions, and forecast energy demand with high accuracy.
Predictive maintenance · Demand forecasting · Anomaly detection · Route optimisation
Digital Operations
Remote monitoring and control designed in from the start rather than retrofitted, with SCADA integration and a cloud historian specified before first operations.
SCADA · Cloud historian · Digital twin · Remote operations centre
Automation
Process control and SCADA specified to support unmanned operation at remote facilities, a requirement that shapes facility design from the first drawings.
Process control · Robotic inspection · Smart sensors · Edge computing
Cybersecurity
Zero-trust architecture for OT/IT, with monitoring, penetration testing and ICS-specific incident response specified as requirements for any facility we build.
Zero-trust · SOC 24/7 · ICS/SCADA security · Threat intelligence
Digital Twin programme.
Teilchen Energie is developing digital twin capability for our gas processing and geothermal facilities. Digital twins allow engineers to simulate process changes, test modifications, and optimise performance in a safe virtual environment before applying changes to live operations — reducing commissioning risk and accelerating first gas.
The programme is designed around industry-benchmark performance targets, drawing on proven EPC and digital engineering practice across comparable LNG and geothermal developments.
Target throughput gain
Target maintenance cost
Remote monitoring design