International Journal of Naval Architecture and Ocean Engineering

The Society of Naval Architects of Korea (대한조선학회)
권호 표지
DOI QR코드

DOI QR Code

Simulation and assessment of gas dispersion above sea from a subsea release: A CFD-based approach

  • Li, Xinhong (Centre for Offshore Engineering and Safety Technology (COEST), Mechanical and Electrical Engineering College, China University of Petroleum (East China)) ;
  • Chen, Guoming (Centre for Offshore Engineering and Safety Technology (COEST), Mechanical and Electrical Engineering College, China University of Petroleum (East China)) ;
  • Zhang, Renren (Centre for Offshore Engineering and Safety Technology (COEST), Mechanical and Electrical Engineering College, China University of Petroleum (East China)) ;
  • Zhu, Hongwei (Centre for Offshore Engineering and Safety Technology (COEST), Mechanical and Electrical Engineering College, China University of Petroleum (East China)) ;
  • Xu, Changhang (Centre for Offshore Engineering and Safety Technology (COEST), Mechanical and Electrical Engineering College, China University of Petroleum (East China))
  • Received : 2018.03.06
  • Accepted : 2018.07.03
  • Published : 2019.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents a comprehensive simulation and assessment of gas dispersion above sea from a subsea release using a Computational Fluid Dynamics (CFD) approach. A 3D CFD model is established to evaluate the behavior of flammable gas above sea, and a jack-up drilling platform is included to illustrate the effect of flammable gas cloud on surface vessels. The simulations include a matrix of scenarios for different surface release rates, distances between surface gas pool and offshore platform, and wind speeds. Based on the established model, the development process of flammable gas cloud above sea is predicted, and the dangerous area generated on offshore platform is assessed. Additionally, the effect of some critical factors on flammable gas dispersion behavior is analyzed. The simulations produce some useful outputs including the detailed parameters of flammable gas cloud and the dangerous area on offshore platform, which are expected to give an educational reference for conducting a prior risk assessment and contingency planning.

Keywords

References

  1. Baalisampang, T., Abbassi, R., Garaniya, V., Khan, F., Dadashzadeh, M., 2017. Fire impact assessment in FLNG processing facilities using Computational Fluid Dynamics (CFD). Fire Saf. J. 92, 42-52. https://doi.org/10.1016/j.firesaf.2017.05.012
  2. Bagheri, M., Alamdari, A., Davoudi, M., 2016. Quantitative risk assessment of sour gas transmission pipelines using CFD. J. Nat. Gas Sci. Eng. 31, 108-118. https://doi.org/10.1016/j.jngse.2016.02.057
  3. Chan, T.L., Dong, G., Leung, C.W., Cheung, C.S., Hung, W.T., 2002. Validation of a two-dimensional pollutant dispersion model in an isolated street canyon. Atmos. Environ. 36 (5), 861-872. https://doi.org/10.1016/S1352-2310(01)00490-3
  4. Cloete, S., Olsen, J.E., Skjetne, P., 2009. CFD modeling of plume and free surface behavior resulting from a sub-sea gas release. Appl. Ocean Res. 31 (3), 220-225. https://doi.org/10.1016/j.apor.2009.09.005
  5. Dadashzadeh, M., Ahmad, A., Khan, F., 2016. Dispersion modelling and analysis of hydrogen fuel gas released in an enclosed area: a CFD-based approach. Fuel 184, 192-201. https://doi.org/10.1016/j.fuel.2016.07.008
  6. Fluent, A.N.S.Y.S., 2011. Ansys Fluent Theory Guide. ANSYS Inc., USA.
  7. Huser, A., Bengherbia, T., Skjetne, P., Olsen, J.E., Postvoll, W., 2015. Subsea gas plumes and dispersion above sea. Nutritional Care of the Patient with Gastrointestinal Disease, p. 155.
  8. Li, X., Chen, G., Zhu, H., Kang, Q., 2016. Research into the risk of natural gas spread from submarine natural gas pipeline leakage. Petrol. Sci. Nutr.Care Patient. Gastrointest. Dis.Bull. 03, 390-400.
  9. Li, X., Chen, G., Zhu, H., Xu, C., 2018. Gas dispersion and deflagration above sea from subsea release and its impact on offshore platform. Ocean Eng. 163, 157-168. https://doi.org/10.1016/j.oceaneng.2018.05.059
  10. Liu, K., Chen, G., Wei, C., 2015. Combustible gas diffusion law and hazardous area of FPSO. Acta Pet. Sin. 36 (8), 1018-1028. https://doi.org/10.7623/syxb201508014
  11. Li, X., Chen, G., Zhu, H., 2017. Modelling and assessment of accidental oil release from damaged subsea pipelines. Mar. Pollut. Bull. 123 (1-2), 133-214. https://doi.org/10.1016/j.marpolbul.2017.09.004
  12. Olsen, J.E., Skjetne, P., Johansen, S.T., 2017. VLES turbulence model for an Eulerian-Lagrangian modeling concept for bubble plumes. Appl. Math. Model. 44, 61-71. https://doi.org/10.1016/j.apm.2017.01.031
  13. Olsen, J.E., Skjetne, P., 2016a. Current understanding of subsea gas release: a review. Can. J. Chem. Eng. 94 (2), 209-219. https://doi.org/10.1002/cjce.22345
  14. Olsen, J.E., Skjetne, P., 2016b. Modelling of underwater bubble plumes and gas dissolution with an Eulerian-Lagrangian CFD model. Appl. Ocean Res. 59, 193-200. https://doi.org/10.1016/j.apor.2016.06.001
  15. Premathilake, L.T., Yapa, P.D., Nissanka, I.D., Kumarage, P., 2016. Impact on water surface due to deepwater gas blowouts. Mar. Pollut. Bull. 112 (1), 365-374. https://doi.org/10.1016/j.marpolbul.2016.07.038
  16. Pontiggia, M., Derudi, M., Busini, V., Rota, R., 2009. Hazardous gas dispersion: a CFD model accounting for atmospheric stability classes. J. Hazard Mater. 171 (1), 739-747. https://doi.org/10.1016/j.jhazmat.2009.06.064
  17. Skjetne, P., Olsen, J.E., 2012. A parcel based modelling concept for studying subsea gas release and the effect of gas dissolution. Prog. Computat. Fluid Dynam., Int. J. 12 (2-3), 187-195. https://doi.org/10.1504/PCFD.2012.047461
  18. Savvides, C., Tam, V., Kinnear, D., 2001. In: DispersioProg. Comput. Fluid Dynam. Int. J.n of fuel in offshore modules: comparison of Predictions Using Fluent and full Scale Experiments[C]//Major Hazards Offshore Conference, London, vol. 4, pp. 1-14.
  19. Takagi, Y., Ban, T., Okano, Y., Kunikane, S., Kawahara, S., Kato, N., Ohgaki, K., 2012. Numerical tracking of methane gas/hydrate and oil droplet in deep water spill. In: Proceedings of Inter-academia.
  20. Tauseef, S.M., Rashtchian, D., Abbasi, S.A., 2011. CFD-based simulation of dense gas dispersion in presence of obstacles. J. Loss Prev. Process. Ind. 24 (4), 371-376. https://doi.org/10.1016/j.jlp.2011.01.014
  21. Visser, D.C., Houkema, M., Siccama, N.B., Komen, E.M.J., 2012. Validation of a FLUENT CFD model for hydrogen distribution in a containment. Nucl. Eng. Des. 245, 161-171. https://doi.org/10.1016/j.nucengdes.2012.01.025
  22. Wimalaratne, M.R., Yapa, P.D., Nakata, K., Premathilake, L.T., 2015. Transport of dissolved gas and its ecological impact after a gas release from deepwater. Mar. Pollut. Bull. 100 (1), 279-288. https://doi.org/10.1016/j.marpolbul.2015.08.039
  23. Wilkening, H., Baraldi, D., 2007. CFD modelling of accidental hydrogen release from pipelines. Int. J. Hydrogen Energy 32 (13), 2206-2215. https://doi.org/10.1016/j.ijhydene.2007.04.022
  24. Wei, C., Chen, G., 2014. On the flammable gas deflagration from the well blowout on the offshore drilling platform. J. Saf. Environ. 14 (04), 92-99.
  25. Yapa, P.D., Dasanayaka, L.K., Bandara, U.C., Nakata, K., 2010. A model to simulate the transport and fate of gas and hydrates released in deepwater. J. Hydraul. Res. 48 (5), 559-572. https://doi.org/10.1080/00221686.2010.507010
  26. Yapa, P.D., Wimalaratne, M.R., Dissanayake, A.L., DeGraff, J.A., 2012. How does oil and gas behave when released in deepwater? J. Hydrol. Environ. Res. 6 (4), 275-285. https://doi.org/10.1016/j.jher.2012.05.002
  27. Zhu, Y., Chen, G., 2010. Simulation and assessment of $SO_2$ toxic environment after ignition of uncontrolled sour gas flow of well blowout in hills. J. Hazard Mater. 178 (1), 144-151. https://doi.org/10.1016/j.jhazmat.2010.01.055
  28. Zhang, B., Chen, G., 2010. Quantitative risk analysis of toxic gas release caused poisoning-a CFD and dose-response model combined approach. Process Saf. Environ. Protect. 88 (4), 253-262. https://doi.org/10.1016/j.psep.2010.03.003

Cited by

  1. A Numerical Study on the Effect of Temperature and Composition on the Flammability of Methane-Hydrogen Sulfide Mixtures vol.191, pp.9, 2019, https://doi.org/10.1080/00102202.2018.1564746
  2. On the non-monotonic wind influence on flammable gas cloud from CFD simulations for hazardous area classification vol.68, 2020, https://doi.org/10.1016/j.jlp.2020.104278