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Dynamic optimisation of evacuation route in the fire scenarios of offshore drilling platforms

Wang, YF, Ma, W, Wang, T, Liu, J, Wang, X, Malkeson, SP, Yang, Z and Wang, J (2022) Dynamic optimisation of evacuation route in the fire scenarios of offshore drilling platforms. Ocean Engineering. ISSN 0029-8018

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When fire occurs in an offshore platform, evacuation plays a vital role in safeguarding the evacuees’ lives. How to efficiently evacuate to minimize the loss of life is a dynamic problem, requiring a continuing research effort with changing technologies. In this research, a dynamic optimization model is proposed to determine the optimized evacuation route in the fire scenarios of offshore platforms. Firstly, the road network model of an offshore platform is built in a Geographic Information System (GIS) environment based on the data from a real drilling platform. Secondly, drilling platform fires are simulated using Fire Dynamics Simulation (FDS), and then the fire simulation data is input into the proposed road network model. Thirdly, the traditional Ant Colony Optimization (ACO) Algorithm is improved by considering the influence of fire on evacuation to study the impact of high temperature, smoke and toxic gases on evacuation. Next, the improved route optimization algorithm and a road network model of the offshore platform are integrated to formulate a dynamic route optimization model for evacuation in fire scenarios. Finally, a case study is conducted to demonstrate the model on a drilling platform of Nan Hai in China. The results reveal that the equipment area around the fire source on the lower deck is mostly affected by the smoke. It is validated that the proposed model can be used to optimize the evacuation route to guide evacuees avoid the hazardous area according to the dynamic spread of smoke. This study can provide fast real-time guidance for the trapped evacuees during the evacuation process on offshore platforms by considering the influence of fire on evacuation

Item Type: Article
Uncontrolled Keywords: 0405 Oceanography, 0905 Civil Engineering, 0911 Maritime Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering
Publisher: Elsevier
Date Deposited: 22 Feb 2022 12:39
Last Modified: 22 Feb 2022 12:45
DOI or Identification number: 10.1016/j.oceaneng.2022.110564
URI: https://researchonline.ljmu.ac.uk/id/eprint/16390

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