Construction and Verification of a Bayesian Network for Third-Party Excavation Risk Assessment (BaNTERA)

dc.contributor.advisorGroth, Katrina M.
dc.contributor.authorSchell, Colin A.
dc.contributor.authorRuiz-Tagle, Andres
dc.contributor.authorLewis, Austin D.
dc.contributor.authorGroth, Katrina M.
dc.date.accessioned2022-08-22T20:27:15Z
dc.date.available2022-08-22T20:27:15Z
dc.date.issued2022-06-26
dc.description.abstractAccording to the Pipeline and Hazardous Material Safety Administration (PHMSA), thirdparty 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.en_US
dc.description.sponsorshipU.S. Department of Transportation Pipeline and Hazardous Materials Safety Administrationen_US
dc.identifierhttps://doi.org/10.13016/79t8-btg3
dc.identifier.citationC. A. Schell, A. Ruiz-Tagle, A. D. Lewis, and K. M. Groth, “Construction and Verification of a Bayesian Network for Third-Party Excavation Risk Assessment (BaNTERA),”PSAM2022: Probabilistic Safety Assessment and Management, Honolulu, O’ahu, Hawaii, USAen_US
dc.identifier.urihttp://hdl.handle.net/1903/29093
dc.language.isoen_USen_US
dc.publisherProbabilistic Safety Assessment and Management (PSAM16)en_US
dc.relation.isAvailableAtA. James Clark School of Engineeringen_us
dc.relation.isAvailableAtMechanical Engineeringen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectThird-party damageen_US
dc.subjectPipeline damageen_US
dc.subjectPipeline safetyen_US
dc.subjectBayesian networksen_US
dc.subjectRisk assessmenten_US
dc.titleConstruction and Verification of a Bayesian Network for Third-Party Excavation Risk Assessment (BaNTERA)en_US
dc.typeArticleen_US

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