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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:
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.
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.