An assessment of causes and failure likelihood of cross-country pipelines under uncertainty using bayesian networks

•An integrated approach to dynamic pipeline failure likelihood analysis.•Incorporates subjective data and accommodates uncertainties using BN and AHP.•Identifies parameters that have the most impact on reducing pipeline loss of containment.•Nigeria's pipeline system used to show model applicati...

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Veröffentlicht in:	Reliability engineering & system safety 2022-02, Vol.218, p.108171, Article 108171
Hauptverfasser:	Hassan, Shamsu, Wang, Jin, Kontovas, Christos, Bashir, Musa
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Bayesian networks Cross-country pipeline system Developing countries Explosions Failure Failure analysis Failure factors Failure likelihood Hazard identification Human factors LDCs Mathematical models Mechanical properties Petroleum pipelines Pipelines Reliability engineering Risk assessment Risk management Risk reduction Safety management Third party damage Uncertainty
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