Key Advantages

  • Identification of active corrosion areas
  • Understanding of the causes of corrosion
  • Justifiable mitigation strategies
  • Demonstrably safe upper-bound corrosion rates for repair and inspection planning
  • Realistic corrosion rate distributions for defining long-term management strategies
  • Holistic assessment ensuring that potential future problems are identified as early as possible
  • Compliance with the MAOP validation process by ECA as defined in the 2016 US NPRM

The Solution

ROSEN’s Corrosion Growth Assessment (CGA) identifies the cause and quantifies the rate of corrosion activity in a pipeline. Our expert corrosion engineers analyze the corrosion processes using state-of-the-art methodologies, such as flow assurance, and evaluate the credibility of corrosion rates calculated from inspection data. CGA therefore provides a detailed view of how corrosion has developed over time and significantly increases operators’ confidence in the future integrity of their pipeline.

Our advanced corrosion growth service CGApro provides a holistic diagnosis of corrosion based on design and operational data, flow assurance models, corrosion modelling software, cathodic-protection analysis, coating evaluation, in-line inspection results, and comparisons between inspections. After the identification of the causes of corrosion, our experts support operators with recommendations for mitigation, control, and monitoring.

Tracking corrosion activity with regular repeated CGAs enables operators to monitor the effectiveness of their corrosion mitigation activities.

Technology/Know how

CGApro is supported by our Automated Signal Correlation and Normalization process, AutoSCAN™. AutoSCAN™ precisely matches metal loss indications between two axial field magnetic flux leakage (MFL-A) inspections, using pattern recognition technology. Historic depth changes are then estimated using the change in signal amplitude and shape. The AutoSCAN™ output offers unrivalled support to operators, not only highlighting the peak activity within a pipeline, but also providing a full and accurate corrosion growth rate distribution which can be used to estimate the pipeline’s remaining life and support life extension initiatives. Corrosion activity associated with shallow features can be identified, which allows for the early identification of corrosion activity before significant damage is caused.