Emergency shutdown valve reliability function test by automated Partial Stroke Testing System

Partial stroke testing (PST) is a technique that is regularly practiced in oil and gas industries to test the emergency shutdown (ESD) valve by closing a certain percentage of the valve position and stop any flow through the pipeline. Generally, it only functions when there is an emergency occurring...

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Main Authors: Ahmad, B., Abdul Wahab, N., Rahman, A. A.
Format: Article
Language:English
Published: Penerbit UTM Press 2016
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Online Access:http://eprints.utm.my/id/eprint/71180/1/BorhanuddinAhmad2016_EmergencyShutdownValveReliabilityFunction.pdf
http://eprints.utm.my/id/eprint/71180/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979702184&doi=10.11113%2fjt.v78.9418&partnerID=40&md5=29a5551062bbab5f5aebb9c714834b89
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spelling my.utm.711802017-11-15T04:16:18Z http://eprints.utm.my/id/eprint/71180/ Emergency shutdown valve reliability function test by automated Partial Stroke Testing System Ahmad, B. Abdul Wahab, N. Rahman, A. A. TK Electrical engineering. Electronics Nuclear engineering Partial stroke testing (PST) is a technique that is regularly practiced in oil and gas industries to test the emergency shutdown (ESD) valve by closing a certain percentage of the valve position and stop any flow through the pipeline. Generally, it only functions when there is an emergency occurring in the production system. When the ESD valve remains in one position for a long period, there is a risk and potential of fail on demand which is, the ESD valve fail to operate during the emergency shutdown. This testing can reveal approximately 75 of unrevealed failures in valves. It can also provide predictive maintenance data that can contribute to the extension of the preventive maintenance for the ESD valve. The objectives of this paper are to design, simulate, build and test the performance of the automated PST system based on PLC. Four guidelines and methodology are used in this work. First, understanding the operation of the PST system. Then, the utilization of the capability of MATLAB-Simulink software as the simulation tool for the PST design system. Next, designing the PST automated system based on PLC design and lastly, testing the performance of the PST design system using lab scale PST system prototype that has been built. Results of the project shows that the PST system is successfully designed and simulated via MATLAB-Simulink and the PLC programming is working in the correct order as performed on the prototype. Penerbit UTM Press 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/71180/1/BorhanuddinAhmad2016_EmergencyShutdownValveReliabilityFunction.pdf Ahmad, B. and Abdul Wahab, N. and Rahman, A. A. (2016) Emergency shutdown valve reliability function test by automated Partial Stroke Testing System. Jurnal Teknologi, 78 (7-4). pp. 35-39. ISSN 0127-9696 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979702184&doi=10.11113%2fjt.v78.9418&partnerID=40&md5=29a5551062bbab5f5aebb9c714834b89
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ahmad, B.
Abdul Wahab, N.
Rahman, A. A.
Emergency shutdown valve reliability function test by automated Partial Stroke Testing System
description Partial stroke testing (PST) is a technique that is regularly practiced in oil and gas industries to test the emergency shutdown (ESD) valve by closing a certain percentage of the valve position and stop any flow through the pipeline. Generally, it only functions when there is an emergency occurring in the production system. When the ESD valve remains in one position for a long period, there is a risk and potential of fail on demand which is, the ESD valve fail to operate during the emergency shutdown. This testing can reveal approximately 75 of unrevealed failures in valves. It can also provide predictive maintenance data that can contribute to the extension of the preventive maintenance for the ESD valve. The objectives of this paper are to design, simulate, build and test the performance of the automated PST system based on PLC. Four guidelines and methodology are used in this work. First, understanding the operation of the PST system. Then, the utilization of the capability of MATLAB-Simulink software as the simulation tool for the PST design system. Next, designing the PST automated system based on PLC design and lastly, testing the performance of the PST design system using lab scale PST system prototype that has been built. Results of the project shows that the PST system is successfully designed and simulated via MATLAB-Simulink and the PLC programming is working in the correct order as performed on the prototype.
format Article
author Ahmad, B.
Abdul Wahab, N.
Rahman, A. A.
author_facet Ahmad, B.
Abdul Wahab, N.
Rahman, A. A.
author_sort Ahmad, B.
title Emergency shutdown valve reliability function test by automated Partial Stroke Testing System
title_short Emergency shutdown valve reliability function test by automated Partial Stroke Testing System
title_full Emergency shutdown valve reliability function test by automated Partial Stroke Testing System
title_fullStr Emergency shutdown valve reliability function test by automated Partial Stroke Testing System
title_full_unstemmed Emergency shutdown valve reliability function test by automated Partial Stroke Testing System
title_sort emergency shutdown valve reliability function test by automated partial stroke testing system
publisher Penerbit UTM Press
publishDate 2016
url http://eprints.utm.my/id/eprint/71180/1/BorhanuddinAhmad2016_EmergencyShutdownValveReliabilityFunction.pdf
http://eprints.utm.my/id/eprint/71180/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979702184&doi=10.11113%2fjt.v78.9418&partnerID=40&md5=29a5551062bbab5f5aebb9c714834b89
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score 13.211869