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Integrity data

The Power to Know More About Pipeline Anomalies

Pipeline integrity, like the human senses, can be augmented similarly with the addition of multiple independent streams of integrity data collected simultaneously. Specifically, the combination of high field axial magnetic flux leakage (MFL), high field helically oriented MFL (SMFL), low-field axial MFL (LFM), high-resolution geometry (GEO) and high-resolution mapping (XYZ), when collected simultaneously, can provide the most comprehensive inspection for pipeline anomalies.

Case studies for several anomaly types will be reviewed outlining the benefits of the multiple dataset approach.  

Written by: Matthew Romney, Dane Burden, Miguel Maldonado, Mike Kirkwood