To wrap up our PPIM 2025 series of Pipeline Things, we are joined by Cliff Maier to discuss his paper on machine learning and how to use it to manage SCC threats. It poses the question, are the machines ready to take over?
Tune in to this episode to catch the answer and learn about how machine learning is being used to improve SCC susceptibility models and help advance SCC threat management.
Highlights:
- Top 10 machine learning predictors for SCC (specific to the study)
- How can machine learning help us find the location of anomalies?
- Parameters that are better correlated to where to find cracks
- What further research should be done to improve this?
Connect:
Rhett Dotson
Christopher De Leon
D2 Integrity
Cliff Maier
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