Bayesian networks in the management of oil field piracy risk

Abstract

In recent years, pirate attacks against shipping and oil field installations have become more frequent and more serious. The SARGOS system provides an innovative solution that addresses the problem 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 counter-measures.

Application of Cloud Model and Bayesian Network to Piracy Risk Assessment

“…Besides, maritime piracy situation has been modeled by several methods, such as dynamic Bayesian network [8]. Bouejla et al [9,10] and Chaze [11] have applied Bayesian network and SARGOS system for modeling response decision and risk management systems for countering piracy attacks. Furthermore, risk assessments of maritime piracy have been carried out to assist ship owners and captains in managing risk during pirate attacks [12,13].…”