With the rapid development of marine oil and gas exploitation, the evacuation of offshore platforms
has received more attention. First, an experimental investigation of the evacuation process of 120 participants in
a real offshore platform is performed, and then simulation results provided by Pathfinder are validated against the
measurement results. Second, four typical evacuation scenarios on the platform referring to IMO guidelines are
investigated by Pathfinder with the speed values achieved in experiments. The simulation results show that both
the utilization of exits and evacuation efficiency of people on the offshore platform need to be further improved.
Last, the evacuation routes of people under the four scenarios are optimized, and the improvement of the evacuation
performance after the optimization is evaluated by several mathematical indicators. Final results show that the
evacuation with the optimized route design prompts the use efficiency of exits and further reduces the evacuation
time. The present study provides a useful advice for potentially revising the IMO guidelines in future and provides
efficient evacuation strategies for planning the emergency evacuation on offshore platforms.
张菁菁1,赵金城1
,
2
,
3
,
宋振森1
,
2
,
3,段立平1
,
2
,
3
. Experimental Study and Numerical Simulation of Evacuation in
an Offshore Platform[J]. Journal of Shanghai Jiaotong University(Science), 2024
, 29(5)
: 747
-758
.
DOI: 10.1007/s12204-023-2629-4
[1] LIAROPOULOS A, SAPOUNTZAKI K, NIVOLIANITOU Z. Risk governance gap analysis in search and rescue at offshore platforms in the Greek territory [J]. Safety Science, 2016, 86: 132-141.
[2] ABRAMOWICZ-GERIGK T, BURCIU Z. Analysis of safety requirements for large offshore units evacuation systems. LSA safety function [J]. Archives of Transport, 2012, 24(4): 429-440.
[3] BERCHA F G, CEROVSEK M, ABEL W. Assessment of the reliability of marine installation escape, evacuation, and rescue systems and procedures [C]//The Fourteenth International Offshore and Polar Engineering Conference. Toulon: ISOPE, 2004: ISOPE-I-04-417.
[4] MUSHARRAF M, KHAN F, VEITCH B. Modeling and simulation of offshore personnel during emergency situations [J]. Safety Science, 2019, 111: 144-153.
[5] PING P, WANG K, KONG D P, et al. Estimating probability of success of escape, evacuation, and rescue (EER) on the offshore platform by integrating Bayesian Network and Fuzzy AHP [J]. Journal of Loss Prevention in the Process Industries, 2018, 54: 57-68.
[6] VINNEM J E. Offshore risk assessment: Principles, modelling and applications of QRA studies [M]. Dordrecht: Springer Netherlands, 1999.
[7] KATSUHARA M, OKAZAKI T, KAMEYAMA M, et al. Simulation of human escape on board considering human factor [J]. Journal - Japan Society for Safety Engineering, 1999, 38: 443-449.
[8] BRUMLEY A, KOSS L. The influence of human factors on the motor ability of passengers during the evacuation of ferries and cruise ships [C]//Conference on Human Factors in Ship Design and Operation. London: RINA, 2000: 19.
[9] HWANG K I. An experiment on walking speeds of freshmen unexperienced in shipboard life on a passenger ship [J]. Journal of Korean Navigation and Port Research, 2013, 37(3): 239-244.
[10] WANG Y F, WANG K, WANG T, et al. Reliabilities analysis of evacuation on offshore platforms: A dynamic Bayesian Network model [J]. Process Safety and Environmental Protection, 2021, 150: 179-193.
[11] CABALLERO-MORALES S O, MARTINEZFLORES J L. Helicopter routing model with non-deterministic failure rate for evacuation of multiple oil platforms [J]. Computers & Industrial Engineering, 2020, 139: 105669.
[12] BUBBICO R, LEE S, MOSCATI D, et al. Dynamic assessment of safety barriers preventing escalation in offshore Oil&Gas [J]. Safety Science, 2020, 121: 319-330.
[13] CHENG J C P, TAN Y, SONG Y Z, et al. Developing an evacuation evaluation model for offshore oil and gas platforms using BIM and agent-based model [J]. Automation in Construction, 2018, 89: 214-224.
[14] MUSHARRAF M, SMITH J, KHAN F, et al. Assessing offshore emergency evacuation behavior in a virtual environment using a Bayesian Network approach [J]. Reliability Engineering & System Safety, 2016, 152:28-37.
[15] PING P, WANG K, KONG D P. Analysis of emergency evacuation in an offshore platform using evacuation simulation modeling [J]. Physica A: Statistical Mechanics and Its Applications, 2018, 505: 601-612.
[16] International Maritime Organization. Guidelines for evacuation analysis for new and existing passenger ships: MSC/Circ.1238 [S]. Copenhagen: IMO, 2016.
[17] WANG C X, LU S R. Personnel emergency evacuation ¨ simulation engineering software - Pathfinder from introduction to mastery [M]. Beijing: Chemical Industry Press, 2016 (in Chinese).
[18] ZHAO Z, CHEN Q G, WANG H R. Guidance evacuation based on Pathfinder model under the emergency state in public place [J]. Fire Science and Technology, 2013, 32(12): 1327-1330 (in Chinese).
[19] WANG J, WANG W, KE Q C, et al. Evacuation simulation research of a university library staff based on Pathfinder [J]. Security and Safety Technology Magazine, 2011(6): 3-7 (in Chinese).
[20] CHOW W K, NG C M Y. Waiting time in emergency evacuation of crowded public transport terminals [J]. Safety Science, 2008, 46(5): 844-857.
[21] OWEN M, GALEA E R, LAWRENCE P J. The exodus evacuation model applied to building evacuation scenarios [J]. Journal of Fire Protection Engineering, 1996, 8(2): 65-84.
[22] CHIEN S W, CHEN W L, SHEN T, et al. Safety evacuation in MRT underground station by using buildingEXODUS with example of Xindian Station of TRTC [J]. Chinese Journal of Rock Mechanics and Engineering, 2004, 23(S2): 5025-5029 (in Chinese).