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Journal ArticleDOI

Quantitative risk analysis on leakage failure of submarine oil and gas pipelines using Bayesian network

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TLDR
Wang et al. as discussed by the authors presented a risk-based accident model to conduct quantitative risk analysis (QRA) for leakage failure of submarine pipeline, which can provide a more case-specific and realistic analysis consequence compared to bow-tie method.
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This article is published in Process Safety and Environmental Protection.The article was published on 2016-09-01. It has received 205 citations till now. The article focuses on the topics: Bayesian network & Submarine pipeline.

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Citations
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Journal ArticleDOI

Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review

TL;DR: A review of the applications of Bayesian networks and Petri nets in system safety, reliability and risk assessments is presented, highlighting the potential usefulness of the BN and PN based approaches over other classical approaches, and relative strengths and weaknesses in different practical application scenarios.
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The future of risk assessment

TL;DR: This paper swings on the rapid changes and innovations that the World that the authors live in is experiencing, and analyze them with respect to the challenges that these pose to the field of risk assessment.
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Probabilistic analysis of natural gas pipeline network accident based on Bayesian network

TL;DR: The results indicate that the combination of Bayesian network and Dempster-Shafer evidence theory is an alternative method for evaluating NGPN accident, and the proposed framework can provide a more realistic consequence analysis since it could consider the conditional dependency in the evolution process of the NGPN accidents.
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Corrosion inhibitors for ferrous and non-ferrous metals and alloys in ionic sodium chloride solutions: A review

TL;DR: In this paper, the authors present a review on corrosion inhibition of metals and alloys in the ionic solution of sodium chloride media, focusing on the inhibitive behavior of plant extracts, inorganic salts and organic compounds as well as synergistic behavior of inorganic-inorganic mixtures.
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Failure probability analysis of the urban buried gas pipelines using Bayesian networks

TL;DR: In this article, the authors presented an advanced two-step approach to analyze failure probabilities of the urban buried gas pipeline. And the results indicate that this approach is feasible and reasonable which can assist in identifying safety critical factors.
References
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Journal ArticleDOI

The Contribution of Latent Human Failures to the Breakdown of Complex Systems

TL;DR: This paper distinguishes between active and latent human failures and proposes a general framework for understanding the dynamics of accident causation, suggests ways in which current methods of protection may be enhanced, and concludes by discussing the unusual structural features of 'high-reliability' organizations.
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Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches

TL;DR: The paper concludes that BN is a superior technique in safety analysis because of its flexible structure, allowing it to fit a wide variety of accident scenarios.
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Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network

TL;DR: This paper introduces the application of probability adapting in dynamic safety analysis rather than probability updating, and illustrates how Bayesian network (BN) helps to overcome limitations in BT.
Book

Risk Assessment: Theory, Methods, and Applications

TL;DR: Part I. Risk Assessment Methods and Applications and Part II.
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Quantitative risk analysis of offshore drilling operations: A Bayesian approach

TL;DR: The Bayesian network method provides greater value than the bow-tie model since it can consider common cause failures and conditional dependencies along with performing probability updating and sequential learning using accident precursors.
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