Confidence-based quantitative risk analysis for offshore accidental hydrocarbon release events
Quantitative risk analysis (QRA) has been widely used to conduct the assessment of offshore accidental risks. However, the accuracy and validity of QRA is significantly affected by uncertainties when subjective judgments are involved. Therefore, it is unrealistic to determine the probability of a ha...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier Ltd
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/4785 |
| _version_ | 1848744613889703936 |
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| author | Huang, Y. Ma, G. Li, J. Hao, Hong |
| author_facet | Huang, Y. Ma, G. Li, J. Hao, Hong |
| author_sort | Huang, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Quantitative risk analysis (QRA) has been widely used to conduct the assessment of offshore accidental risks. However, the accuracy and validity of QRA is significantly affected by uncertainties when subjective judgments are involved. Therefore, it is unrealistic to determine the probability of a hazardous event by using one single explicit value when safety experts have a relatively low confidence level in their judgments. This paper proposes a new methodology for incorporating uncertainties into conventional QRA using the concept of confidence level. Offshore hydrocarbon release hazards are focused on and a barrier and operational risk analysis (BORA-Release) method is selected as the basic model to illustrate the proposed methodology. A left-right (L-R) bell-shaped fuzzy number is employed and its membership curve is able to control its shape to represent different confidence levels. As to the complex geometry of the bell-shaped fuzzy number, an a-cut operation is introduced to conduct the arithmetic operations of the fuzzy number, and a defuzzification method with total integral value is chosen to match the a-cut operations and acquire complete information for the fuzzy numbers. In the meantime, an optimism index is used to describe the attitude of the decision-maker. One case study is provided in this paper to demonstrate the implementation of this method. |
| first_indexed | 2025-11-14T06:04:15Z |
| format | Journal Article |
| id | curtin-20.500.11937-4785 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:04:15Z |
| publishDate | 2015 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-47852017-09-13T14:47:33Z Confidence-based quantitative risk analysis for offshore accidental hydrocarbon release events Huang, Y. Ma, G. Li, J. Hao, Hong Quantitative risk analysis (QRA) has been widely used to conduct the assessment of offshore accidental risks. However, the accuracy and validity of QRA is significantly affected by uncertainties when subjective judgments are involved. Therefore, it is unrealistic to determine the probability of a hazardous event by using one single explicit value when safety experts have a relatively low confidence level in their judgments. This paper proposes a new methodology for incorporating uncertainties into conventional QRA using the concept of confidence level. Offshore hydrocarbon release hazards are focused on and a barrier and operational risk analysis (BORA-Release) method is selected as the basic model to illustrate the proposed methodology. A left-right (L-R) bell-shaped fuzzy number is employed and its membership curve is able to control its shape to represent different confidence levels. As to the complex geometry of the bell-shaped fuzzy number, an a-cut operation is introduced to conduct the arithmetic operations of the fuzzy number, and a defuzzification method with total integral value is chosen to match the a-cut operations and acquire complete information for the fuzzy numbers. In the meantime, an optimism index is used to describe the attitude of the decision-maker. One case study is provided in this paper to demonstrate the implementation of this method. 2015 Journal Article http://hdl.handle.net/20.500.11937/4785 10.1016/j.jlp.2015.04.008 Elsevier Ltd restricted |
| spellingShingle | Huang, Y. Ma, G. Li, J. Hao, Hong Confidence-based quantitative risk analysis for offshore accidental hydrocarbon release events |
| title | Confidence-based quantitative risk analysis for offshore accidental hydrocarbon release events |
| title_full | Confidence-based quantitative risk analysis for offshore accidental hydrocarbon release events |
| title_fullStr | Confidence-based quantitative risk analysis for offshore accidental hydrocarbon release events |
| title_full_unstemmed | Confidence-based quantitative risk analysis for offshore accidental hydrocarbon release events |
| title_short | Confidence-based quantitative risk analysis for offshore accidental hydrocarbon release events |
| title_sort | confidence-based quantitative risk analysis for offshore accidental hydrocarbon release events |
| url | http://hdl.handle.net/20.500.11937/4785 |