GWUT for Gas Diversion Detection on PE Pipes with a Steel Riser
Detection of natural gas diversion in residential pipelines is important for public safety. Detection of such diversion in a nonintrusive manner is important for customer satisfaction and the companies’ reputation. This project aims to develop non-intrusive guided-wave ultrasonic testing methods combined with machine learning to detect and locate diversions in residential gas pipes. These pipes are commonly polyethylene pipes connected to a steel riser, and are deployed below ground. Thus, the envisioned testing solution should be able to handle the effects introduced by the pipe’s material and the surrounding medium.
Voir la description complète du projetAnas Chaaban
FortisBC Energy Inc
Engineering
Utilities
The University of British Columbia - Okanagan
Accelerate