An accident causation network for quantitative risk assessment of deepwater drilling

作者: Guoming Chen , Jingyu Zhu , Xiangkun Meng , Jiayue Fu , Tieshan Li

DOI: 10.1016/J.PSEP.2021.02.035

关键词: Deepwater drillingNetwork topologyPath (graph theory)Risk analysis (engineering)Event (probability theory)Shortest path problemDijkstra's algorithmComputer scienceCausationRisk assessment

摘要: Abstract Quantitative risk assessment plays an important role in facilitating deepwater drilling safety. This paper proposes accident causation network method for during drilling. The involves four basic steps: identification, failure scenarios definition, uncertainty evaluation, and path calculation. Risk factors regarding different sources such as the operator, process, equipment, environment are firstly identified. Then a topology based on graph theory models underlying scenarios. entropy is adopted to model uncertain influence of multi-type factors. Dijkstra algorithm finally used calculate shortest from initial event blowout accident. A system chosen case study demonstrate applicability proposed method. result shows that changes probabilities lead variation both sequences. With result, decision makers can take targeted measures prevent accidents or reduce risks.

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