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Application of Hierarchical Analyst Domino Evaluation System (HADES) in offshore oil and gas facilities’ decommissioning: A case study

Lookup NU author(s): Dr Yihong Li, Professor Zhiqiang Hu



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Offshore facilities need to be decommissioned after completing their design lives. Quantity Risk Assessment (QRA) is usually compulsorily required in the offshore industry, but the current QRA technology for decommissioning projects still has some gaps that need to be filled. Most current QRA technologies can only be used for static risk assessment before the project starts, which may underestimate the risk involved in decommissioning operations. Therefore, sophisticated stationery and dynamic QRA techniques must be developed for offshore decommissioning projects. This paper proposes the Hierarchical Analyst Domino Evaluation System (HADES) for decommissioning, and it considers domino effect accidents (DEAs). Integrating the Analytic Hierarchy Process (AHP) into QRA, multiple layers of domino accident analysis are carried out for each decommissioning procedure by taking the two triggering mechanisms of domino effect accidents as the core for obtaining more accurate QRA results. Furthermore, designing a causality matrix to classify and stratify identified hazards. Correspondingly, the targets criteria database established for judging triggering situations is also ground-breaking. To demonstrate the advantages of HADES, a decommissioning project in the North Sea platform North West Hutton is employed as the case study to analyze the risk in decommissioning procedures and identify the hazards in each process. These hazards are classified and stratified into one primary layer and several domino layers for further assessment. The risk assessment results are very close to those published, proving the HADES system’s feasibility.

Publication metadata

Author(s): Li Y, Hu Z

Publication type: Article

Publication status: Published

Journal: Ocean Engineering

Year: 2023

Volume: 272

Print publication date: 15/03/2023

Online publication date: 17/02/2023

Acceptance date: 15/01/2023

Date deposited: 13/02/2023

ISSN (print): 0029-8018

ISSN (electronic): 1873-5258

Publisher: Elsevier Ltd


DOI: 10.1016/j.oceaneng.2023.113741


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