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.

Faculty Supervisor:

Anas Chaaban

Student:

Partner:

FortisBC Energy Inc

Discipline:

Engineering

Sector:

Utilities

University:

The University of British Columbia - Okanagan

Program: