Meana Petro
HS-04FoundationalWave 1AIIoT

Intelligent Flare Monitoring

In one sentence

Watches the flare on camera to confirm it is lit, estimate how much is being burned, and detect smoking or incomplete combustion.

The problem

Flare volumes are frequently estimated from process balances rather than measured, and an unlit flare — which vents raw gas straight to atmosphere — can go unnoticed for hours, particularly at night or at a remote unmanned site.

How it works

Visible and thermal camera analysis classifies flame presence, size, smoke and lift-off, and cross-references against flare gas metering and process events. Burn volume is estimated from flame geometry, calibrated against the flare meter where one exists.

Data required

  • Camera with a clear view of the flare tip, visible and preferably thermal
  • Flare gas meter readings if available for calibration
  • Process event data: relief, blowdown, compressor trips
  • Gas composition for heating value

What you get

  • Continuous flame status with immediate unlit alarm
  • Estimated flare volume and smoke index with event attribution
  • Routine-versus-upset flaring breakdown for emissions reporting

What it cannot do

Camera-based volume estimation is approximate — typically within twenty to thirty per cent when calibrated against a meter — and is not a substitute for flare metering for regulatory or fiscal reporting. Heavy fog, sandstorms and a sun-aligned camera angle all degrade classification, and the system reports low visibility rather than guessing at flame status.

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.

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