AI Gas Compression Optimization
AI-driven optimization of gas compression systems and stations
The Problem
“Reduce gas compression fuel burn and downtime”
Organizations face these key challenges:
1
High and volatile fuel gas/electricity costs driven by conservative setpoints and inefficient unit loading
2
Unplanned downtime from surge events, high discharge temperatures, vibration trips, and undetected degradation (fouling, valve leakage, seal wear)
3
Complex multi-unit dispatch decisions (which compressors to run, at what speeds/loads) under changing suction conditions, gas composition, and contractual pressure/flow requirements
Impact When Solved
3–8% reduction in compressor energy use while maintaining pressure/throughput constraints10–30% reduction in surge/overtemp/vibration trips via predictive constraint management and anomaly detection1–3% throughput uplift and improved nomination compliance through proactive setpoint and unit-dispatch optimization
The Shift
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