Meana Petro
FA-04IntermediateWave 2AIDomain

Corrosion & Pipeline Integrity

In one sentence

Predicts where a line is corroding fastest and how long it has left, so inspection and replacement go where the risk actually is.

The problem

Corrosion management is driven by inspection intervals set years ago and by coupon data from a handful of locations. The lines that fail are frequently not the lines that were being watched.

How it works

Corrosion rate is modelled per segment from water chemistry, flow regime, temperature, CO2 and H2S partial pressures and inhibitor availability, then calibrated against inline inspection and ultrasonic thickness history. Remaining life per segment drives an inspection plan ranked by risk rather than by calendar.

Data required

  • Pipeline segment register with material, dimensions, coating and installation date
  • Inline inspection runs and manual ultrasonic thickness readings with locations
  • Water chemistry, gas composition, operating temperature and pressure
  • Inhibitor injection rates, cathodic protection readings and coupon data

What you get

  • Corrosion rate and remaining life by segment with confidence
  • Risk-ranked inspection and replacement plan
  • Inhibitor effectiveness assessment per injection point

What it cannot do

Predicted rates are averages over a segment, and the failures that matter are localised pitting and microbiologically influenced corrosion, which are driven by local conditions the model does not see — a low point holding water, a dead leg, a failed coating. Model output complements inline inspection and does not justify extending an inspection interval on its own.

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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