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Assessment of operational risks of LNG and FLNG vessels during manoeuvring in bad weather conditions


Abdussamie, N and Daboos, M and Chai, S, Assessment of operational risks of LNG and FLNG vessels during manoeuvring in bad weather conditions, Proceedings of the 12th ISOPE Pacific-Asia Offshore Mechanics Symposium (PACOMS 2016), 4-7 October 2016, Gold Coast, Australia, pp. 289-296. ISSN 1946-004X (2016) [Refereed Conference Paper]

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Copyright 2016 International Society of Offshore and Polar Engineers

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In bad weather conditions, manoeuvring of a liquefied natural gas (LNG) carrier in open sea at floating LNG (FLNG) terminals can be associated with operational risks of potential consequences to human safety, environment and economy. Due to limited knowledge and experience with the FLNG technology, it is difficult to perform risk evaluations. Expert judgments are often employed to analyse and assess LNG risks using the risk matrix technique. However, human behaviour may influence the outcome of risk analyses resulting in an uncertain risk level. To deal with the uncertainty of expert opinions, two fuzzy set approaches are introduced in this paper. The first is a rule-based fuzzy model using Sugeno method for fuzzy inference. The second is a trapezoidal fuzzy set approach "simplified approach". Risk parameters were translated into a number of fuzzy sets, and a fuzzy risk value was calculated for several hazardous scenarios at different phases during ship berthing operations. The calculated fuzzy risk values were found to be consistent with the results of risk matrix technique.

Item Details

Item Type:Refereed Conference Paper
Keywords:offshore gas export, floating gas terminals, hazards during ship manoeuvring, fuzzy logic
Research Division:Information and Computing Sciences
Research Group:Information systems
Research Field:Decision support and group support systems
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Natural hazards
Objective Field:Natural hazards not elsewhere classified
UTAS Author:Abdussamie, N (Dr Nagi Abdussamie)
UTAS Author:Chai, S (Professor Shuhong Chai)
ID Code:119962
Year Published:2016
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-08-08
Last Modified:2018-02-02

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