A Fuzzy Rule-Based Bayesian Reasoning Approach for Risk Assessment of Petroleum Transportation Systems
Year: 2017
Type: conference-paper
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.
Source: Liverpool John Moores University
Language: English
Topic: Risk and Safety Analysis
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3168580661