Dynamic occupational risk model for offshore operations in harsh environments
The expansion of offshore oil exploitation into remote areas (e.g., Arctic) with harsh environments has significantly increased occupational risks. Among occupational accidents, slips, trips and falls from height (STFs) account for a significant portion. Thus, a dynamic risk assessment of the three...
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ftrepec:oai:RePEc:eee:reensy:v:150:y:2016:i:c:p:58-64 2024-04-14T08:08:02+00:00 Dynamic occupational risk model for offshore operations in harsh environments Song, Guozheng Khan, Faisal Wang, Hangzhou Leighton, Shelly Yuan, Zhi Liu, Hanwen http://www.sciencedirect.com/science/article/pii/S0951832016000302 unknown http://www.sciencedirect.com/science/article/pii/S0951832016000302 article ftrepec 2024-03-19T10:28:31Z The expansion of offshore oil exploitation into remote areas (e.g., Arctic) with harsh environments has significantly increased occupational risks. Among occupational accidents, slips, trips and falls from height (STFs) account for a significant portion. Thus, a dynamic risk assessment of the three main occupational accidents is meaningful to decrease offshore occupational risks. Bow-tie Models (BTs) were established in this study for the risk analysis of STFs considering extreme environmental factors. To relax the limitations of BTs, Bayesian networks (BNs) were developed based on BTs to dynamically assess risks of STFs. The occurrence and consequence probabilities of STFs were respectively calculated using BTs and BNs, and the obtained probabilities verified BNs׳ rationality and advantage. Furthermore, the probability adaptation for STFs was accomplished in a specific scenario with BNs. Finally, posterior probabilities of basic events were achieved through diagnostic analysis, and critical basic events were analyzed based on their posterior likelihood to cause occupational accidents. The highlight is systematically analyzing STF accidents for offshore operations and dynamically assessing their risks considering the harsh environmental factors. This study can guide the allocation of prevention resources and benefit the safety management of offshore operations. Occupational accident; Dynamic risk assessment; Harsh environment; Bayesian network; Bow-tie model; Article in Journal/Newspaper Arctic RePEc (Research Papers in Economics) Arctic |
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Open Polar |
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RePEc (Research Papers in Economics) |
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description |
The expansion of offshore oil exploitation into remote areas (e.g., Arctic) with harsh environments has significantly increased occupational risks. Among occupational accidents, slips, trips and falls from height (STFs) account for a significant portion. Thus, a dynamic risk assessment of the three main occupational accidents is meaningful to decrease offshore occupational risks. Bow-tie Models (BTs) were established in this study for the risk analysis of STFs considering extreme environmental factors. To relax the limitations of BTs, Bayesian networks (BNs) were developed based on BTs to dynamically assess risks of STFs. The occurrence and consequence probabilities of STFs were respectively calculated using BTs and BNs, and the obtained probabilities verified BNs׳ rationality and advantage. Furthermore, the probability adaptation for STFs was accomplished in a specific scenario with BNs. Finally, posterior probabilities of basic events were achieved through diagnostic analysis, and critical basic events were analyzed based on their posterior likelihood to cause occupational accidents. The highlight is systematically analyzing STF accidents for offshore operations and dynamically assessing their risks considering the harsh environmental factors. This study can guide the allocation of prevention resources and benefit the safety management of offshore operations. Occupational accident; Dynamic risk assessment; Harsh environment; Bayesian network; Bow-tie model; |
format |
Article in Journal/Newspaper |
author |
Song, Guozheng Khan, Faisal Wang, Hangzhou Leighton, Shelly Yuan, Zhi Liu, Hanwen |
spellingShingle |
Song, Guozheng Khan, Faisal Wang, Hangzhou Leighton, Shelly Yuan, Zhi Liu, Hanwen Dynamic occupational risk model for offshore operations in harsh environments |
author_facet |
Song, Guozheng Khan, Faisal Wang, Hangzhou Leighton, Shelly Yuan, Zhi Liu, Hanwen |
author_sort |
Song, Guozheng |
title |
Dynamic occupational risk model for offshore operations in harsh environments |
title_short |
Dynamic occupational risk model for offshore operations in harsh environments |
title_full |
Dynamic occupational risk model for offshore operations in harsh environments |
title_fullStr |
Dynamic occupational risk model for offshore operations in harsh environments |
title_full_unstemmed |
Dynamic occupational risk model for offshore operations in harsh environments |
title_sort |
dynamic occupational risk model for offshore operations in harsh environments |
url |
http://www.sciencedirect.com/science/article/pii/S0951832016000302 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://www.sciencedirect.com/science/article/pii/S0951832016000302 |
_version_ |
1796305476123623424 |