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Development of Risk Optimisation Model for Oil and Gas Transportation Pipeline Routes

Kraidi, L, Shah, RK, Matipa, W, Borthwick, F and Hashim, KS (2019) Development of Risk Optimisation Model for Oil and Gas Transportation Pipeline Routes. In: IOP Conference Series: Materials Science and Engineering (584). (The International Conference on Civil and Environmental Engineering Technologies (ICCEET), 23 April 2019 - 24 April 2019, University of Kufa, Iraq).

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Abstract

Choosing a safe route for transporting the Oil and Gas via Pipelines (OGPs) helps in improving the safety level of these pipelines and minimises the efforts for risk management. The current risk assessment tools are inaccurate to analyse the Risk Factors (RFs) in OGPs projects in Iraq due to the data scarcity and lack of research. Therefore, this paper aims to develop a risk assessment tool to choose safe routes for OGPs projects in Iraq based on the results of an industry-wide questionnaire survey and a computer-based model, which were designed to analyse the RFs in OGPs projects more accurately. In the first stage of this work, the RFs were analysed in OGPs projects in the whole country. The fuzzy logic theory was used to calculate the Risk Index (RI) of the RFs to minimise the uncertainty in risk analysis, which results from the lack of data and stakeholders judgments about the RFs. While the second stage focused on the analyses of the RFs in specific routes of the pipelines. A programming code was written using MATLAB to read the inputs of the risk assessment tool, which are the RFs and their values of RI from the first and second stage and export the outputs, which are the total RI of each route. The safe route is the one that has less total RI. Such a tool could be used to optimise risk for a safe oil and gas transportation route.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Civil Engineering (merged with Built Env 10 Aug 20)
Publisher: IOP Publishing
Date Deposited: 16 Jul 2019 13:40
Last Modified: 30 May 2024 10:56
DOI or ID number: 10.1088/1757-899X/584/1/012025
URI: https://researchonline.ljmu.ac.uk/id/eprint/11002
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