Dynamic assessment of safety barriers preventing escalation in offshore Oil&Gas
Oil&Gas activities in the arctic and subarctic regions are characterized by several challenges related to the harsh but sensitive environment in which they are carried out. The weather may deteriorate facility components at a higher rate, and delay operations, emergency and evacuation procedures...
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ftunivromairis:oai:iris.uniroma1.it:11573/1314948 2024-04-14T08:06:47+00:00 Dynamic assessment of safety barriers preventing escalation in offshore Oil&Gas Bubbico, Roberto Lee, Shenae MOSCATI, DANIEL Paltrinieri, Nicola Bubbico, Roberto Lee, Shenae Moscati, Daniel Paltrinieri, Nicola 2020 http://hdl.handle.net/11573/1314948 https://doi.org/10.1016/j.ssci.2019.09.011 eng eng Elsevier info:eu-repo/semantics/altIdentifier/wos/WOS:000496603900027 volume:121 firstpage:319 lastpage:330 numberofpages:12 journal:SAFETY SCIENCE http://hdl.handle.net/11573/1314948 doi:10.1016/j.ssci.2019.09.011 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85072538202 info:eu-repo/semantics/openAccess dynamic risk analysi safety barrier analysi Oil&Ga extreme environment info:eu-repo/semantics/article 2020 ftunivromairis https://doi.org/10.1016/j.ssci.2019.09.011 2024-03-21T19:20:30Z Oil&Gas activities in the arctic and subarctic regions are characterized by several challenges related to the harsh but sensitive environment in which they are carried out. The weather may deteriorate facility components at a higher rate, and delay operations, emergency and evacuation procedures. Moreover, these regions host unique ecosystems, and their preservation is a worldwide priority. For this reason, a comprehensive and systematic approach for risk analysis is necessary to prevent major accidents and comply with Arctic pollution control. A novel approach for dynamic risk assessment and management, based on Bayesian Networks and safety barrier assessment, is suggested. The method is applied to the Goliat Oil&Gas platform located in the Barents Sea and risk data on the Norwegian petroleum activities are used as evidence to simulate continuous update of risk assessment throughout the years. The case study shows the benefits and limitations of such approach. Accurate modelling of potential accident scenarios is possible through BNs, but time-consuming. The approach allows for drill-down capabilities, which enhance support of operations and definition of risk mitigating measures. However, the data used for dynamic risk assessment has a pivotal role, as data quality and quantity sensibly affect the outcome. Fortunately, the Oil&Gas industry is committed to improving collection of field data for the assessment of safety barrier performance. This approach represents a strategy to process deviations and resilient reactions, regularly iterating dynamic risk assessment to support risk management of critical systems, such as the Oil&Gas production in the arctic and sub-arctic regions. Article in Journal/Newspaper Arctic Arctic pollution Barents Sea Goliat Subarctic Sapienza Università di Roma: CINECA IRIS Arctic Barents Sea Safety Science 121 319 330 |
institution |
Open Polar |
collection |
Sapienza Università di Roma: CINECA IRIS |
op_collection_id |
ftunivromairis |
language |
English |
topic |
dynamic risk analysi safety barrier analysi Oil&Ga extreme environment |
spellingShingle |
dynamic risk analysi safety barrier analysi Oil&Ga extreme environment Bubbico, Roberto Lee, Shenae MOSCATI, DANIEL Paltrinieri, Nicola Dynamic assessment of safety barriers preventing escalation in offshore Oil&Gas |
topic_facet |
dynamic risk analysi safety barrier analysi Oil&Ga extreme environment |
description |
Oil&Gas activities in the arctic and subarctic regions are characterized by several challenges related to the harsh but sensitive environment in which they are carried out. The weather may deteriorate facility components at a higher rate, and delay operations, emergency and evacuation procedures. Moreover, these regions host unique ecosystems, and their preservation is a worldwide priority. For this reason, a comprehensive and systematic approach for risk analysis is necessary to prevent major accidents and comply with Arctic pollution control. A novel approach for dynamic risk assessment and management, based on Bayesian Networks and safety barrier assessment, is suggested. The method is applied to the Goliat Oil&Gas platform located in the Barents Sea and risk data on the Norwegian petroleum activities are used as evidence to simulate continuous update of risk assessment throughout the years. The case study shows the benefits and limitations of such approach. Accurate modelling of potential accident scenarios is possible through BNs, but time-consuming. The approach allows for drill-down capabilities, which enhance support of operations and definition of risk mitigating measures. However, the data used for dynamic risk assessment has a pivotal role, as data quality and quantity sensibly affect the outcome. Fortunately, the Oil&Gas industry is committed to improving collection of field data for the assessment of safety barrier performance. This approach represents a strategy to process deviations and resilient reactions, regularly iterating dynamic risk assessment to support risk management of critical systems, such as the Oil&Gas production in the arctic and sub-arctic regions. |
author2 |
Bubbico, Roberto Lee, Shenae Moscati, Daniel Paltrinieri, Nicola |
format |
Article in Journal/Newspaper |
author |
Bubbico, Roberto Lee, Shenae MOSCATI, DANIEL Paltrinieri, Nicola |
author_facet |
Bubbico, Roberto Lee, Shenae MOSCATI, DANIEL Paltrinieri, Nicola |
author_sort |
Bubbico, Roberto |
title |
Dynamic assessment of safety barriers preventing escalation in offshore Oil&Gas |
title_short |
Dynamic assessment of safety barriers preventing escalation in offshore Oil&Gas |
title_full |
Dynamic assessment of safety barriers preventing escalation in offshore Oil&Gas |
title_fullStr |
Dynamic assessment of safety barriers preventing escalation in offshore Oil&Gas |
title_full_unstemmed |
Dynamic assessment of safety barriers preventing escalation in offshore Oil&Gas |
title_sort |
dynamic assessment of safety barriers preventing escalation in offshore oil&gas |
publisher |
Elsevier |
publishDate |
2020 |
url |
http://hdl.handle.net/11573/1314948 https://doi.org/10.1016/j.ssci.2019.09.011 |
geographic |
Arctic Barents Sea |
geographic_facet |
Arctic Barents Sea |
genre |
Arctic Arctic pollution Barents Sea Goliat Subarctic |
genre_facet |
Arctic Arctic pollution Barents Sea Goliat Subarctic |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000496603900027 volume:121 firstpage:319 lastpage:330 numberofpages:12 journal:SAFETY SCIENCE http://hdl.handle.net/11573/1314948 doi:10.1016/j.ssci.2019.09.011 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85072538202 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.ssci.2019.09.011 |
container_title |
Safety Science |
container_volume |
121 |
container_start_page |
319 |
op_container_end_page |
330 |
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1796303974539722752 |