Layer of Protection Analysis (LOPA) as an Effective Tool for Preventing Major Accidents Hazards: A Case Study of Ammonia Storage Tank

Major accidents in process industry still occur until now. Some of the major accidents are the Bhopal Disaster in 1984 and Deepwater Horizon in 2010. The most recent major accident in Malaysia, is at PETRONAS facility in Pengerang, Johor where there was an explosion and fire. Layer of protection ana...

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Main Authors: Rashid, Z.A., Fuad, M.F.I.A., Ahmad, M.A., Azhari, N.A., Hazimin, H.N.M., Ariff, M.A.M., Buang, A.
Format: Conference or Workshop Item
Published: 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37595/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170025973&doi=10.1109%2fICSGRC57744.2023.10215459&partnerID=40&md5=bba9409cca5f54230ff782d588f3ee21
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spelling oai:scholars.utp.edu.my:375952023-10-13T13:00:57Z http://scholars.utp.edu.my/id/eprint/37595/ Layer of Protection Analysis (LOPA) as an Effective Tool for Preventing Major Accidents Hazards: A Case Study of Ammonia Storage Tank Rashid, Z.A. Fuad, M.F.I.A. Ahmad, M.A. Azhari, N.A. Hazimin, H.N.M. Ariff, M.A.M. Buang, A. Major accidents in process industry still occur until now. Some of the major accidents are the Bhopal Disaster in 1984 and Deepwater Horizon in 2010. The most recent major accident in Malaysia, is at PETRONAS facility in Pengerang, Johor where there was an explosion and fire. Layer of protection analysis or well known as LOPA, is a simplified risk assessment tool used to examine hazards. Research, process development, design, operations, maintenance, alterations, and decommissioning all benefit from LOPA. LOPA involves identifying the target risk levels, determining the existing risk connected to the process, and choosing the best non-instrumented safety systems. The major accident prevention and control strategies in the chemical process sector will be uncovered in this research. The effectiveness of layer of protection analysis (LOPA) in preventing significant accidents in high-risk chemical plants is another objective of the study. The layer of protection analysis (LOPA) will be studied when adequate data for preventative and control actions has been acquired. The starting frequency and failure rate statistics will be obtained. For each layer of LOPA, the efficiency of preventing significant accidents will be determined by calculation. © 2023 IEEE. 2023 Conference or Workshop Item NonPeerReviewed Rashid, Z.A. and Fuad, M.F.I.A. and Ahmad, M.A. and Azhari, N.A. and Hazimin, H.N.M. and Ariff, M.A.M. and Buang, A. (2023) Layer of Protection Analysis (LOPA) as an Effective Tool for Preventing Major Accidents Hazards: A Case Study of Ammonia Storage Tank. In: UNSPECIFIED. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170025973&doi=10.1109%2fICSGRC57744.2023.10215459&partnerID=40&md5=bba9409cca5f54230ff782d588f3ee21 10.1109/ICSGRC57744.2023.10215459 10.1109/ICSGRC57744.2023.10215459 10.1109/ICSGRC57744.2023.10215459
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Major accidents in process industry still occur until now. Some of the major accidents are the Bhopal Disaster in 1984 and Deepwater Horizon in 2010. The most recent major accident in Malaysia, is at PETRONAS facility in Pengerang, Johor where there was an explosion and fire. Layer of protection analysis or well known as LOPA, is a simplified risk assessment tool used to examine hazards. Research, process development, design, operations, maintenance, alterations, and decommissioning all benefit from LOPA. LOPA involves identifying the target risk levels, determining the existing risk connected to the process, and choosing the best non-instrumented safety systems. The major accident prevention and control strategies in the chemical process sector will be uncovered in this research. The effectiveness of layer of protection analysis (LOPA) in preventing significant accidents in high-risk chemical plants is another objective of the study. The layer of protection analysis (LOPA) will be studied when adequate data for preventative and control actions has been acquired. The starting frequency and failure rate statistics will be obtained. For each layer of LOPA, the efficiency of preventing significant accidents will be determined by calculation. © 2023 IEEE.
format Conference or Workshop Item
author Rashid, Z.A.
Fuad, M.F.I.A.
Ahmad, M.A.
Azhari, N.A.
Hazimin, H.N.M.
Ariff, M.A.M.
Buang, A.
spellingShingle Rashid, Z.A.
Fuad, M.F.I.A.
Ahmad, M.A.
Azhari, N.A.
Hazimin, H.N.M.
Ariff, M.A.M.
Buang, A.
Layer of Protection Analysis (LOPA) as an Effective Tool for Preventing Major Accidents Hazards: A Case Study of Ammonia Storage Tank
author_facet Rashid, Z.A.
Fuad, M.F.I.A.
Ahmad, M.A.
Azhari, N.A.
Hazimin, H.N.M.
Ariff, M.A.M.
Buang, A.
author_sort Rashid, Z.A.
title Layer of Protection Analysis (LOPA) as an Effective Tool for Preventing Major Accidents Hazards: A Case Study of Ammonia Storage Tank
title_short Layer of Protection Analysis (LOPA) as an Effective Tool for Preventing Major Accidents Hazards: A Case Study of Ammonia Storage Tank
title_full Layer of Protection Analysis (LOPA) as an Effective Tool for Preventing Major Accidents Hazards: A Case Study of Ammonia Storage Tank
title_fullStr Layer of Protection Analysis (LOPA) as an Effective Tool for Preventing Major Accidents Hazards: A Case Study of Ammonia Storage Tank
title_full_unstemmed Layer of Protection Analysis (LOPA) as an Effective Tool for Preventing Major Accidents Hazards: A Case Study of Ammonia Storage Tank
title_sort layer of protection analysis (lopa) as an effective tool for preventing major accidents hazards: a case study of ammonia storage tank
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37595/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170025973&doi=10.1109%2fICSGRC57744.2023.10215459&partnerID=40&md5=bba9409cca5f54230ff782d588f3ee21
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