L2M NSERC- Machine Learning Based Tool to Predict Possible Failure Type of Oil and Gas Pipelines

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The oil and gas pipeline infrastructure market suffers from continuous pipeline failure events which is causedby different factors. Quantifying failure events of oil and gas pipelines in real- or near-real-time facilitates afaster and more appropriate response plan. Hence, the aim of this proposal is to develop a data-drivenpipeline failure assessment product, which incorporates artificial intelligence technology and utilizes publiclyavailable failure databases. The Lab2Market Program will help in providing access to tools and experts that informs researchers about appropriate market research skills required to assess potential needs by end-users.