A Bayesian network to manage risks of maritime piracy against offshore oil fields

被引：73

作者：

Bouejla, Amal ^{[1
]}

Chaze, Xavier ^{[1
]}

Guamieri, Franck ^{[1
]}

Napoli, Aldo ^{[1
]}

机构：

[1] MINES ParisTech, Crisis & Risk Res Ctr CRC, 1 Rue Claude Daunesse,BP 207, F-06904 Sophia Antipolis, France

来源：

SAFETY SCIENCE | 2014年 / 68卷

关键词：

Oil platforms; Offshore oil fields; Pirate attacks; Bayesian networks; Quantitative and qualitative knowledge; SAFETY ASSESSMENT;

D O I：

10.1016/j.ssci.2014.04.010

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In recent years, pirate attacks against shipping and oil field installations have become more frequent and more serious. This article proposes an innovative solution to the problem of offshore piracy from the perspective of the entire processing chain: from the detection of a potential threat to the implementation of a response. The response to an attack must take into account multiple variables: the characteristics of the threat and the potential target, existing protection tools, environmental constraints, etc. The potential of Bayesian networks is used to manage this large number of parameters and identify appropriate countermeasures. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：222 / 230

页数：9

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