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Automation in Leak Detection Testing
Presentation Overview
As the demand for computational leak testing of a CPM system has increased, a low-cost and efficient means of executing leak sensitivity testing is required. Currently, most testing is executed manually and some of the more sophisticated implementations today are executed using batch scripts. This presentation describes the implementation of an automated solution for computational leak sensitivity testing that can be massively upscaled using parallel computing.
Topics covered include:
- History
- Test Method Considerations
- Leak Test Scope and Input Parameters
- Model Structure, Set up and Version Control
- Test Automation and Execution
- Test Results Gathering
- Considerations for Parallel Computing
Speaker Bio
Alyson Wu
Testing & Support EIT, Enbridge
Alyson Wu is a Testing and Support Engineer in Training at Enbridge Inc. in Edmonton Alberta. She has 2 years of experience in creating automated tools for industrial applications. Alyson has a Bachelor of Science in Electrical Engineering from the University of Alberta in Edmonton.
Speaker Bio
Daniel Hung
LD Testing Engineer, Enbridge
Daniel Hung is a Leak Detection Testing and Research Engineer at Enbridge Inc. in Edmonton, Alberta. He has 7 years of experience in leak testing and hydraulic simulations for liquid pipeline systems. Daniel has a Bachelor of Science in Chemical Engineering from the University of Alberta in Edmonton.
