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Loughney, S, Wang, J, Lau, D and Minty, D (2016) Asset integrity case development for normally unattended offshore installations: Bayesian network modelling. In: RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE . (26th Conference on European Safety and Reliability (ESREL), 25 September 2016 - 29 September 2016, Glasgow, SCOTLAND).
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Abstract
This research proposes the initial stages of the application of Bayesian Networks in conducting quantitative risk assessment of the integrity of an offshore system. The main focus is the construction of a Bayesian network model that demonstrates the interactions of multiple offshore safety critical elements to analyse asset integrity. A NUI (Normally Unattended Installation) - Integrity Case will enable the user to determine the impact of deficiencies in asset integrity and demonstrate that integrity is being managed to ensure safe operations in situations whereby physical human to machine interaction is not occurring. The Integrity Case can be said to be dynamic as it shall be continually updated for an installation as the Quantitative Risk Analysis (QRA) data is recorded. This allows for the integrity of the various systems and components of an offshore installation to be continually monitored. The Bayesian network allows cause-effect relationships to be modelled through clear graphical representation. The model accommodates for continual updating of failure data.
| Item Type: | Conference or Workshop Item (Paper) |
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| Additional Information: | This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE on 13/09/16, available online: http://www.crcpress.com/9781138029972 |
| Uncontrolled Keywords: | Science & Technology; Social Sciences; Technology; Engineering, Multidisciplinary; Social Sciences, Interdisciplinary; Engineering; Social Sciences - Other Topics; COMPARISON MATRICES; RISK-ASSESSMENT |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management T Technology > T Technology (General) |
| Divisions: | Maritime & Mechanical Engineering (merged with Engineering 10 Aug 20) |
| Publisher: | CRC PRESS-TAYLOR & FRANCIS GROUP |
| Date Deposited: | 01 Nov 2018 11:19 |
| Last Modified: | 13 Apr 2022 15:16 |
| Editors: | Walls, L, Revie, M and Bedford, T |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/9586 |
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