IAPSAM Logo

PSAM 16 Conference Paper Overview

Welcome to the PSAM 16 Conference paper and speaker overview page.

Lead Author: Colin Schell Co-author(s): Austin Lewis (adlewis@umd.edu) Andres Ruiz-Tagle (aruiztag@umd.edu) Katrina Groth (kgroth@umd.edu)
Construction and Verification of a Bayesian Network for Third-Party Excavation Risk Assessment (BaNTERA)
According to the Pipeline and Hazardous Material Safety Administration (PHMSA), third-party damage is a leading cause of natural gas pipeline accidents. Although the risk of third-party damage has been widely studied in the literature, current models do not capture a sufficiently comprehensive set of up-to-date root cause factors and their dependencies. This limits their ability to achieve an accurate risk assessment that can be traced to meaningful elements of an excavation. This paper presents the construction, verification, and validation of a probabilistic Bayesian network model for third-party excavation risk assessment, BaNTERA. The model was constructed and its performance verified using the best available industry data and previous models from multiple sources. Historical industry data and nationwide statistics were compared with BaNTERA’s damage rate predictions to validate the model. The result of this work is a comprehensive risk model for the third-party damage problem in natural gas pipelines.

Paper CS185 Preview

Author and Presentation Info

"
Lead Author Name: Colin Schell (cschell@umd.edu)

Bio: Colin is a second-year Ph.D. student in the Reliability Engineering program at the University of Maryland. Advised by Dr. Katrina Groth at the Systems Risk and Reliability Analysis lab (SyRRA), his research focuses on using causal models to better understand pipeline risks stemming from mechanical and natural hazard loading conditions, as well as third-party excavation. Colin also received his B.S. in mechanical engineering from the University of Maryland in 2020.

Country: United States of America
Company: University of Maryland
Job Title: Graduate Research Assistant

Download paper CS185.

Download the presentation PowerPoint file.