AI-powered flare monitoring
Advanced Flare Monitoring with AI
Oiler.ai delivers continuous, AI-powered flare monitoring that converts visual combustion behavior into quantified performance indicators — enabling operators to assess combustion efficiency, emissions performance, and flare operating quality in real time.
Why flare monitoring is fundamentally hard
Traditional approaches struggle with the inherent challenges of long-range combustion observation.
Challenges
Long-distance signal degradation
Elevated flares cause severe image attenuation and loss of detail at 100–200m distances.
Weather sensitivity
Wind, rain, fog, and snow distort flames and obscure combustion signals.
No real combustion feedback
Operators lack real-time insight into flame stability, smoke, or efficiency.
Oiler's Approach
AI signal enhancement & image restoration
Recovers flame structure and boundaries from degraded optical signals.
Weather-adaptive algorithms
Correct for wind tilt, visibility loss, and environmental noise.
Quantified combustion intelligence
Converts visuals into measurable performance indicators.
From visual flame to combustion intelligence
Oiler transforms raw flare imagery into actionable performance metrics.
All indicators are computed continuously using edge AI and computer vision — no inferential proxies.
AI-powered transformation from raw flare imagery to actionable metrics
Closed-loop flare combustion control
Oiler doesn't stop at monitoring. AI-derived combustion metrics feed directly into control systems, enabling real-time adjustment of assist fuel and oxidizer flow.
Measurable Outcomes
Operators gain visibility, control, and confidence — continuously.
Turn flare monitoring into actionable intelligence
See how Oiler's AI-powered flare monitoring can transform your combustion visibility and control.
Talk to Oiler.ai