A methodical study of reliability analysis of the crude oil unit in processing heavy oil Online publication date: Sun, 15-Feb-2009
by Qingyou Liu, Guorong Wang, Yan Yang
International Journal of Agile Systems and Management (IJASM), Vol. 4, No. 1/2, 2009
Abstract: This paper presents a novel approach to analyse the safety and reliability issues on the crude oil unit in processing heavy oil. Based on the discussions of the corrosion mechanism, it uses fault tree analysis to identify the key factors that may lead to failure of crude oil unit when processing heavy oil. It has found that factors such as temperature, consistence, relatively move speed and material, critically affect the corrosion rate of the naphthenic acid. In order to explore the relationships between the identified factors and the corrosion rate of the naphthenic acid, this paper uses artificial neural networks to identify such normally non-linear relationships. Laboratory experiments have been conducted to collect data of the corrosion rate using different materials in different temperatures, consistence and velocity. The analyses show that the proposed research method is sound and can be used in safety and reliability analysis of crude oil unit in processing heavy oil.
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