Methane Hydrate Generation Model and Software Development Based on P. Englezos Method

  • Nan MaEmail author
  • Jun Li
  • Kuidong Luo
  • Shujie Liu
  • Min Wen
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 75)


At present, most scholars judge the hydrate formation conditions based on the thermodynamic prediction model, but more accurate prediction methods should be based on hydrate formation kinetics, while kinetic studies mostly focus on the qualitative interpretation of the generation mechanism. Based on this, this paper quantitatively studied the kinetics of hydrate formation. Combined with van der Waals and Platteeuw prediction model, thermodynamic equilibrium theory and P. Englezos method, the methane hydrate formation model was established. The generation time of hydrate was calculated under different thermodynamic generation conditions, and the data were used for verification. At the same time, using the model to calculate the approximate time required for clogging of the wellbore by hydrate formation. The results show that the hydrate formation conditions obtained by thermodynamic methods are only threshold conditions, which will not cause wellbore blockage within a certain time range. The methane hydrate formation model established in this paper can be calculated for hydrate formation time, wellbore clogging time and hydration volume.


Hydrate Generation mechanism Phase equilibrium Hydrate generation time 


  1. 1.
    Wu, M., Wang, S., Liu, H.: A study on inhibitors for the prevention of hydrate formation in gas transmission pipeline. J. Nat. Gas Chem. 16(1), 81–85 (2007)CrossRefGoogle Scholar
  2. 2.
    Van Der Waals, J.H., Platteeuw, J.C.: Clathrate solutions. Adv. Chem. Phys. (2), 2–57 (1958)Google Scholar
  3. 3.
    Du, Y., Guo, T.: Prediction of gas hydrate formation conditions I: system without inhibitor. Acta Pet. Sin. (Petroleum Processing Section) 4(3), 82–91 (1988)Google Scholar
  4. 4.
    Chen, G., Guo, T.: Thermodynamic study of hydrate formation process. Acta Pet. Sin. (Natural Science Edition) 19(2), 88–91 (1995)Google Scholar
  5. 5.
    Chen, G., Ma, Q., Guo, T.: Establishment of hydrate model and its application in salt-containing systems. Acta Pet. Sin. 21(1), 64–70 (2000)Google Scholar
  6. 6.
    Madsen, J., Pedersen, K.S.: Modeling of structure H hydrates using a Langmuir adsorption model. Ind. Eng. Chem. Res. 39(4), 1111–1114 (2000)CrossRefGoogle Scholar
  7. 7.
    Tohidi, B., Chapoy, J., Yang, F.: Developing hydrate monitoring and early warning systems. OTC 19247 (2008)Google Scholar
  8. 8.
    Gao, Y.: Study on Multiphase Flow and Well Control of Deepwater Oil and Gas Drilling Wellbore. China University of Petroleum (East China), Shandong Dongying (2007)Google Scholar
  9. 9.
    Huang, X., Xu, G.: Engineering Thermodynamics. China Electric Power Press, Beijing (2015)Google Scholar
  10. 10.
    Englezos, P., Kalogerakis, N., Dholabhai, P.D., Bishnoi, P.R.: Kinetics of formation of methane and ethane gas hydrates. Chem. Eng. Sci. 42(11), 2647–2658 (1987)CrossRefGoogle Scholar
  11. 11.
    Li, M., Fan, S., Zhao, J.: Experimental study on formation of natural gas hydrate in porous media. Nat. Gas Ind. 26(5), 27–28 (2006)Google Scholar
  12. 12.
    Dai, M., Zhou, L.: Experimental study on synthetic natural gas hydrate. Chem. Prog. 16(5), 747–750 (2004)Google Scholar
  13. 13.
    Chen, M., Cao, Z., Ye, Y.: Simulation experiment study on synthesis of marine gas hydrate. Chin. Soc. Oceanogr. 28(6), 39–43 (2006)Google Scholar
  14. 14.
    Wu, H., Lu, Y., Lv, X.: Experimental study on gas hydrate formation rate. Exp. Technol. Manag. 31(1), 36–40 (2014)Google Scholar
  15. 15.
    Yu, X., Zhao, J., Guo, J.: Comparison of prediction models for gas hydrate formation conditions. Oil Gas Storage Transp. 21(1), 20–24 (2002)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Nan Ma
    • 1
    Email author
  • Jun Li
    • 1
  • Kuidong Luo
    • 1
  • Shujie Liu
    • 2
  • Min Wen
    • 2
  1. 1.China University of PetroleumBeijingChina
  2. 2.CNOOC Research InstituteBeijingChina

Personalised recommendations