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Risk-based evaluation of subsea pipeline leak detection technologies

Citation

Hillier, A and Imtiaz, S and Khan, FI and Thodi, P, Risk-based evaluation of subsea pipeline leak detection technologies, Proceedings of the ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2015, 31 May - 5 June 2015, St John's, Canada, pp. V05BT04A051-10. ISBN 9780791856529 (2015) [Refereed Conference Paper]

Copyright Statement

Copyright 2015 ASME

DOI: doi:10.1115/OMAE2015-41623

Abstract

Continuous monitoring of subsea pipelines is the best way to detect leaks quickly. A number of systems and technologies exist for this purpose. The present work describes an analytical approach to making decisions related to best technology selection. The proposed approach uses a risk-based methodology for identifying the best technology. The key focus of the present work is to develop a method to quantify uncertainties involved with leak detection technologies on subsea arctic pipelines and use the quantified uncertainty in decision-making. The proposed methodology considers a broad range of factors. It gives an overall risk, as well as, revealing the strengths and weaknesses of the leak detection technologies in different subcategories. The proposed methodology is demonstrated using a case study.

Item Details

Item Type:Refereed Conference Paper
Keywords:Arctic engineering, decision making, leak detection, water pipelines, analytical approach, Arctic pipelines, continuous monitoring, leak detection technology, making decision, risk-based evaluation, sub-sea pipelines, technology selection, pipelines
Research Division:Engineering
Research Group:Interdisciplinary Engineering
Research Field:Risk Engineering (excl. Earthquake Engineering)
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Engineering
Author:Khan, FI (Professor Faisal Khan)
ID Code:120696
Year Published:2015
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-08-30
Last Modified:2017-10-17
Downloads:0

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