Emergency Decision Support System of Offshore Platform Fires

Project Information

STOPFIRE

Grant agreement ID: 840425

DOI 10.3030/840425

Project closed

EC signature date 11 April 2019

Start date 17 January 2020

End date 16 January 2022

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 224 933,76

EU contribution € 224 933,76

Coordinated by

LIVERPOOL JOHN MOORES UNIVERSITY
United Kingdom

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.

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

Keywords

• Offshore safety
• fire analysis
• offshore platforms
• decision making

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• 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

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Coordinator

LIVERPOOL JOHN MOORES UNIVERSITY

• Net EU contribution: € 224 933,76
• Address: RODNEY STREET 2 EGERTON COURT ; L3 5UX Liverpool ; United Kingdom
• Region: North West (England) › Merseyside › Liverpool
• Activity type: Higher or Secondary Education Establishments
• Total cost: € 224 933,76