Abstract
Resilience of oil and gas marine terminals is critical to safe, uninterrupted operations. This study adopts a socio-technical perspective to assess port resilience at the Offshore Marine Terminal. This research adopts a resilience engineering perspective, viewing success and failure as outcomes of the same adaptive processes in normal system functioning, rather than focusing solely on accident prevention. By using an integrated Functional Resonance Analysis Method (FRAM) and Bayesian Network (BN) approach, this study has modelled the system into its functional basis across preparation, mooring, transfer, and finishing phases in order to understand how performance variability propagates through the system. Five experts have been invited to provide insightful input on the work done daily in lifting activities. Analysis has revealed that the terminal operates predominantly in adaptive control modes during routine operations, with communication, AHTS operations, and transfer process monitoring emerging as the most critical functions for maintaining successful lifting operations.
| Original language | English |
|---|---|
| Pages (from-to) | 575-590 |
| Number of pages | 16 |
| Journal | International Review of Mechanical Engineering |
| Volume | 19 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
Keywords
- Bayesian Network
- FRAM
- Lifting Operation
- Offshore Marine Terminal
- Resilience Engineering
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