Bayesian Network Analysis Of Offshore Decommissioning Waste Management

Ford, JL, Loughney, S ORCID: 0000-0003-0217-5739, Blanco-Davis, E ORCID: 0000-0001-8080-4997, Shahrokhi, A ORCID: 0000-0002-4484-4606, Bras, AA ORCID: 0000-0002-6292-2073 and Wang, J ORCID: 0000-0003-4646-9106 (2024) Bayesian Network Analysis Of Offshore Decommissioning Waste Management. In: Advances in Reliability, Safety and Security, ESREL 2024, pt 10 . pp. 49-58. (34th European Safety and Reliability Conference, 23th - 27th Jun 2024, Krakow, Poland).

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Abstract

With the offshore decommissioning industry's estimated expenditure exceeding £17.75 billion over the next decade, this research study focuses on the handling of waste materials generated during this process. A Bayesian network, derived from prior research and publicly available data, was used to analyze the complex interactions influencing waste management decisions. The research study aims to contribute to the understanding of the handling of decommissioning waste materials. The research stresses the importance of informed decision-making to minimize environmental impact and streamline the handling of hazardous waste materials, ultimately contributing to a more sustainable decommissioning approach.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	offshore decommissioning; bayesian network; waste
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Civil Engineering and Built Environment Engineering
Publisher:	Polish Safety and Reliability Association, Jagiellonian University
Date of acceptance:	23 June 2024
Date of first compliant Open Access:	27 April 2026
Date Deposited:	27 Apr 2026 13:21
Last Modified:	27 Apr 2026 13:21
URI:	https://researchonline.ljmu.ac.uk/id/eprint/28473

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