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.

Fields of science

• natural sciences › mathematics › applied mathematics › statistics and probability › bayesian statistics
• natural sciences › physical sciences › classical mechanics › fluid mechanics › fluid dynamics
• natural sciences › computer and information sciences › software › software applications › virtual reality
• natural sciences › computer and information sciences › artificial intelligence › computational intelligence

Programme(s)

• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2018 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2018
See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

LIVERPOOL JOHN MOORES UNIVERSITY

Address

Rodney Street 2 Egerton Court
L3 5UX Liverpool
United Kingdom

Activity type

Higher or Secondary Education Establishments

Links

EU contribution

€ 224 933,76