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A Fuzzy Rule-Based Bayesian Reasoning Approach for Risk Assessment of Petroleum Transportation Systems

Alghanmi, A, Yang, Z and Blanco Davis, E (2017) A Fuzzy Rule-Based Bayesian Reasoning Approach for Risk Assessment of Petroleum Transportation Systems. In: IEEE’s 7th International Conference on Logistics, Informatics and Service Science (LISS 2017), 24 July 2017 - 27 July 2017, Kyoto, Japan and Beijing, China..

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Abstract

Petroleum Transportation Systems (PTSs) play an important role in the movement of crude oil from its production sites to the end users. Such systems are complex because they often operate in a dynamic environment. Therefore, safe operations of the key components in the systems such as port and transportation are vital for the success of PTSs. Risk assessment is a powerful tool to ensure the safe transportation of crude oil. This paper applies a mathematical model to identify and evaluate the operational hazards associated with PTSs, by combining a Fuzzy Rule-Based (FRB) method and Bayesian Networks (BNs). This hybrid model has been found capable of assisting decision-makers in measuring and improving the PTSs’ safety, and dealing with the inherent uncertainties in risk data.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
H Social Sciences > HE Transportation and Communications
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering
Date Deposited: 13 May 2021 09:53
Last Modified: 03 Sep 2021 23:16
URI: https://researchonline.ljmu.ac.uk/id/eprint/14898

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