In-Field Validation Services

An essential part of pipeline integrity management is to verify the in-line inspection performance and the analysis process in the field. On-site verification of the reported characteristics confirms the condition of the pipeline to the operator and supports possible measures that can be taken.

The quality and consistency of the data obtained in the field are crucial to the statistical verification of the performance of the ILI processes. They are recorded in API 1163 for the qualification standard of in-line inspection systems.

Highly qualified personnel and cutting-edge technologies enable ROSEN to accurately acquire on-site data and validate characteristics in pipelines, such as:

• Deformations and anomalies
• Internal and external corrosion
• Cracks
• Pipeline material properties

Data Alignment for continious Improvement

Most pipeline operators have their own processes for performing tool validation, which typically consist of comparing spreadsheets of non-destructive examination (NDE) and ILI data to create unity plots with between ten and several hundred validation points. This process can take many hours, and the quality of the unity plots is often unreliable due to the difficulty in aligning the data properly.

ROSEN's dedicated team analyzes and correlates the two datasets from the field and the ILI. For this process, ROSEN has developed a new web-based platform to aid the alignment of ILI and NDE data. This solution is capable of analyzing complete Laser/AUT scans as well as individual pit depth reports with the highest degree of accuracy. The goal is to provide a user-friendly platform that is used both internally by ROSEN and externally by our customers, allowing NDE to be aligned efficiently and easily.

In addition to helping the operators align their data, the platform will automatically populate an internal ROSEN database with field validation data from all clients to aid in sizing algorithms for the tools. This will allow ROSEN to continually improve tool algorithms based on the latest field information, thus benefiting all clients.

From a strategic perspective and looking beyond compliance, this broad range of services enables operators to increase the integrity of their pipeline systems and reduce the number of digs in order to avoid short- and long-term costs. Based on the knowledge already gained in the area of in-field validation, ROSEN is committed to the further development of sizing algorithms with the help of artificial intelligence and machine learning. High-quality results are the basis for closing the loop between ILI and field data as required by regulations. By providing those results, we meet the future demand for real-time asset integrity management to the long-term benefit of our customers.