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Keywords: Bayesian network
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Proceedings Papers

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A004, September 26–30, 2022
Paper No: IPC2022-87236
..., the challenges in data preparation/QC and interpretation techniques, and suggestions for determining the necessary limitations that should be applied to the outcomes toward the objective of quantifying the risk. Keywords: Probabilistic risk model, machine learning, Bayesian Network, pipeline integrity, SCC...
Proceedings Papers

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A005, September 26–30, 2022
Paper No: IPC2022-87872
.... This paper presents a step-by-step approach developed for and successfully employed by the Operator as applied to pipeline integrity threats. data quality evaluation data maturity digital transformation Bayesian network KPIs process maturity a step-by-step approach Proceedings of the 2022 14th...
Proceedings Papers

Proc. ASME. IPC2022, Volume 1: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain-Based Design and Assessment; Risk and Reliability; Emerging Fuels and Greenhouse Gas Emissions, V001T07A033, September 26–30, 2022
Paper No: IPC2022-87372
... estimates of segment specific SCC occurrence and failure rate. The approach provides a significant flexibility to update the proposed model at any maturity level of the program as additional data becomes available. SCC SCC susceptibility Bayesian network Bayesian update Proceedings of the 2022...
Proceedings Papers

Proc. ASME. IPC2022, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A018, September 26–30, 2022
Paper No: IPC2022-81580
...’ parameters. The incidents’ data analysis was performed using a Bayesian Network (BN) approach for the evaluation of the probabilities of locating failures under variable parameters. BN provides the flexibility of updating the probabilities when performing risk and sensitivity analysis under various...