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  Title Detecting and quantifying pipeline displacement using ILI - a case study
  Author(s) Nishant Sasi Philip  
  Abstract HYDROCARBON PIPELINES ARE high value assets which must be kept operating at the safest possible way. The in-line inspection (ILI) tools play an important role in achieving this objective.

Mapping the position of a pipeline using pipeline location coordinates (x, y, z) collected from an ILI survey has become routine practice for many pipeline operators over recent years. When an IMU (Inertial Mapping Unit) tool is included as part of an ILI survey it provides a synchronized stream of x, y, z mapping information. This information aligned with the ILI data provides the means to accurately and easily locate pipeline anomalies, features and fittings.

The x, y, z mapping information collected by an IMU tool has an additional use which is less widely understood. The mapping data can be used in the determination of sections of a pipeline indicating potential deviation from the pipelines’ original position. Specialized assessment of the IMU data can be performed to calculate curvature and to derive the consequential bending strain levels throughout the pipeline. The use of data from repeat runs can identify where even small changes to pipeline that have occurred between the inspection surveys.

This paper presents a case study describing how Baker Hughes, a GE company's (BHGE) analysis of the MFL (Magnetic Flux Leakage) data led to identification of a displacement event followed by leveraging the IMU data and StrainCom software capabilities to confirm and quantify the extent of damage.

 
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