Journal
RISK ANALYSIS
Volume 38, Issue 8, Pages 1601-1617Publisher
WILEY
DOI: 10.1111/risa.12974
Keywords
Harsh environment and Bayesian network; hydrocarbon release; offloading operation; resilience; risk management
Categories
Funding
- Norwegian University of Science and Technology (NTNU) of Trondheim, Norway
- Memorial University of Newfoundland, Canada
- Natural Science and Engineering Council of Canada (NSERC)
- Canada Research Chair Program (Tier I)
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Resilience is the capability of a system to adjust its functionality during a disturbance or perturbation. The present work attempts to quantify resilience as a function of reliability, vulnerability, and maintainability. The approach assesses proactive and reactive defense mechanisms along with operational factors to respond to unwanted disturbances and perturbation. This article employs a Bayesian network format to build a resilience model. The application of the model is tested on hydrocarbon-release scenarios during an offloading operation in a remote and harsh environment. The model identifies requirements for robust recovery and adaptability during an unplanned scenario related to a hydrocarbon release. This study attempts to relate the resilience capacity of a system to the system's absorptive, adaptive, and restorative capacities. These factors influence predisaster and postdisaster strategies that can be mapped to enhance the resilience of the system.
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