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Emergency Decision Support System of Offshore Platform Fires

Project description

A framework to evaluate and minimise the offshore platform fire risk

The EU-funded STOPFIRE project aims to identify typical fire scenarios on offshore oil and gas platforms by analysing fire accidents and creating numerical simulations on the temporal and spatial evolution of the fires. A risk warning model of offshore platform fire evacuation will be built based on the wavelet neural network. Moreover, human behaviour will be studied, in an effort to elucidate the impact of fires on people and other assets. The project's work will be carried out with the help of a wide range of disciplines, including computation fluid dynamics, multi-agent-based evacuation simulations, probabilistic inference and virtual reality technology.

Objective

In this project, fire accidents on offshore oil and gas platform will be analysed to identify the typical fire scenarios, followed by numerical simulation on the temporal and spatial evolution of the fires. Secondly, the coupling mechanism between human behavior and fire development will be investigated to quantitatively characterize the impact of fire on people and other assets. Thereafter, based on fire numerical simulation and multi-agent theory, an evacuation simulation model of offshore platform fires will be proposed. Thirdly, the dynamic risk of offshore platform fire evacuation will be evaluated by considering both failure consequences and their probabilities. A risk warning model of offshore platform fire evacuation will be built based on the Wavelet Genetic Neural Network. Finally, a dynamic decision-making support system for fire emergency evacuation will be designed by integrating Computation Fluid Dynamic (CFD), multi-agent theory and the Virtual Reality (VR) technology.
This project covers a wide range of disciplines including CFD, multi-agent-based evacuation simulations, probabilistic inference (Bayesian inference and system dynamic model) and the VR technology. This Individual Fellowship will significantly accelerate the development of interdisciplinary knowledge, innovative research skills and new career of the nominated Fellow.

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Coordinator

LIVERPOOL JOHN MOORES UNIVERSITY
Net EU contribution
€ 224 933,76
Address
Rodney street 2 egerton court
L3 5UX Liverpool
United Kingdom

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Region
North West (England) Merseyside Liverpool
Activity type
Higher or Secondary Education Establishments
Links
Other funding
€ 0,00