BayesiaLab
Leveraging Bayesian Network Analysis to Build Predictive Models Using Pipeline Incident Data

Leveraging Bayesian Network Analysis to Build Predictive Models Using Pipeline Incident Data

Presented at the 2023 BayesiaLab Conference.

Abstract

In this presentation, we explore how BayesiaLab can work to identify trends in the DOT’s Pipeline and Hazardous Materials Safety Administration’s public incident and annual report data to identify strategies that pipeline operators can leverage to reduce incidents and predict failures more effectively.

Presentation Video

Presentation Slides

About the Presenters

Andrew Holle has been with American Innovations for over nine years and currently serves as the Senior Principal Systems Architect. Andrew has a BS in Chemical Engineering and an MS in Computer Science. He is currently focusing on innovative ways to bring the benefits of machine learning to customers through our product offerings.\

Becky Gibbs-Murray has focused her entire career on building innovative, user-friendly tools that advance the oil and gas industry. She joined American Innovations in October 2021 as Senior Product Manager and holds a degree in Chemical and Petroleum Engineering from the Colorado School of Mines.


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