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.
Fields of science
- natural sciencesmathematicsapplied mathematicsstatistics and probabilitybayesian statistics
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamics
- natural sciencescomputer and information sciencessoftwaresoftware applicationsvirtual reality
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programme(s)
Funding Scheme
MSCA-IF-EF-ST - Standard EF
Coordinator
L3 5UX Liverpool
United Kingdom
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