Pipeline defect matching based on data from consecutive in-line inspections

The integrity of energy pipelines is managed using information obtained from in-line inspections, which are periodically performed non-destructive inspections of the pipe wall to detect and size defects like corrosion, cracks, and dents. The coordinate systems for referencing the locations of the detected defects varies from inspection to inspection. It is therefore necessary to align the coordinate systems and to identify the defects that belong together. This process is referred to as defect matching, which is often time intensive and prone to errors as it is performed manually. The matched defects are used to determine their growth rates and safe remaining lifetimes of the defects.
The objective of the project is to develop a model for the automated matching of defects detected by in-line inspections. The matching problem will be formulated as an optimization problem where the objective function depends on the distance and overlap of the defects. The outcomes of the research project will enable Cenozon to develop an advanced software tool for the integrity management of pipelines using ILI data.

Faculty Supervisor:

Markus Dann

Student:

Partner:

Cenozon

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program: