STOPFIRE · Emergency Decision Support System of Offshore Platform Fires
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2020-01-17 → 2022-01-16
- EU contribution
- €224,934
- Participants
- 1
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
Emergency Decision Support System of Offshore Platform Fires
This project aims to investigate dynamic risk assessment and emergency decision optimization of fire evacuation to enhance the safety and efficiency of offshore operations. To achieve the aim, the objectives are: to propose approaches for simulating personnel evacuation in fire scenarios of an offshore platform; to propose novel methods for predicting the failure probability and the dynamic risk of fire evacuation; to propose multi-objective optimization methods that can be used to improve the emergency decisions based on multiple criteria, including risk concerns and time saving; and to design a fire management environmental decision support system (EDSS) of offshore platform fires. Offshore platforms provide working and living places for crews operating on the installation. This has the potential to cause fires and other cascading accidents. Fire accidents on offshore platforms have the potential to not only claim human lives and cause major economic loss, but also cause serious pollution consequences to the maritime environment. A large number of fire accidents indicate that if the emergency response is inadequate, it will aggravate the impact of the fire and increase the number of casualties. Offshore platform evacuation relies heavily on external measures, such as lifeboats and helicopters. Compared with the terrestrial environment, the evacuation from an offshore platform is challenging. The issue of how to quickly and efficiently evacuate in case of fire should be urgently addressed. In this project, a dynamic optimization method of emergency decision based on the dynamic risk distribution of fire evacuation and the spatial-temporal evolution of fires is developed to provide efficient evacuation plans. This research provides real-time guidance according to the spatial-temporal evolution of offshore fires during the evacuation process. This allows for timely and accurate pre-disaster early warning, real-time monitoring and rapid response in case of a fire on an offshore platform.
Data: CORDIS, © European Union
Project 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.
Original text from CORDIS.
Participants
- LIVERPOOL JOHN MOORES UNIVERSITY · LIVERPOOLCoordinatorUnited Kingdom
Links
Data: CORDIS, © European Union