A methodology for risk analysis based on hybrid bayesian networks: Application to the regasification system of liquefied natural gas onboard a floating storage and regasification unit

Risk Analysis

Volumn 34, Issue 12, 2014, Pages 2098-2120

  Martins, Marcelo Ramos ^a   Schleder, Adriana Miralles ^a   Droguett, Enrique López ^b  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Bayesian networks; FSRU; LNG regasification; Reliability analysis; Risk analysis

Indexed keywords

BAYESIAN NETWORKS; DIGITAL STORAGE; FAILURE ANALYSIS; FLOATING LIQUEFIED NATURAL GAS; GAS FUEL PURIFICATION; ITERATIVE METHODS; NATURAL GAS DEPOSITS; NATURAL GASOLINE PLANTS; PROBABILITY DISTRIBUTIONS; PROVEN RESERVES; RELIABILITY ANALYSIS; RISK ANALYSIS; RISK ASSESSMENT; UNCERTAINTY ANALYSIS;

CONSTANT FAILURE RATE; CONTINUOUS VARIABLES; EFFICIENT ANALYSIS; FLOATING STORAGE AND REGASIFICATION UNITS; FSRU; HYBRID BAYESIAN NETWORKS; LIQUEFIED NATURAL GAS (LNG); LNG REGASIFICATION;

LIQUEFIED NATURAL GAS;

NATURAL GAS;

BAYES THEOREM; RISK ASSESSMENT;

BAYES THEOREM; NATURAL GAS; RISK ASSESSMENT;

EID: 84921019888     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/risa.12245     Document Type: Article

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