| Peer-Reviewed

Predictive Analytical Model for Hydrate Growth Initiation Point in Multiphase Pipeline System

Received: 17 January 2023    Accepted: 14 February 2023    Published: 15 April 2023
Views:       Downloads:
Abstract

Gas hydrates account for a huge flow assurance encounter in the passage of natural gas through pipelines. Its undesirability stems from the fact that these solids reduce pipe diameter open to gas flow, and challenge pipeline integrity, therefore leading to bursting pipes and increasing costs. Hydrates undergo four phases of development: entrainment, growth, agglomeration and plugging – and do not usually constitute a flow assurance challenge until agglomeration. These challenges are even more pronounced in the presence of condensate in the pipeline. This study was therefore designed by developing a predictive model of the hydrate growth initiation point along the pipeline where hydrates start to form in the presence of gas, condensate, and water. The developed predictive analytical model at which quasi liquid layer starts to form on the hydrate seed relates the quasi-liquid layer temperature to the gas hydrate mass, pipeline length, induction time, hydrate percentage in the fluid composition, hydrate density, change in enthalpy and the flowing hydrate velocity in the pipe system. The developed predictive model will assist in identifying when heating of pipelines can be done to control hydrate formation by keeping the temperature above the quasi-liquid layer temperature. This predictive model was in concordance with field observation.

Published in Petroleum Science and Engineering (Volume 7, Issue 1)
DOI 10.11648/j.pse.20230701.13
Page(s) 14-21
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Gas Hydrate Growth, Gas-Condensate, Hydrate Temperature, Maturation Stages, Predictive Model

References
[1] Irfan Kurawle, Mohit Kaul, Zoaib Amin, Nikhil Kulkarni. (2008). Semi-Analytical Study of Production of Gas Hydrates and Their Techno-Economic Uses. SPE, Maharashtra Institute of Technology, Pune. This paper was presented at the International Petroleum Technology Conference held in Kuala Lumpur, Malaysia, 3–5 December.
[2] Sloan E. Dendy, Koh Carolyn Ann. (2008). Clathrate hydrates of natural gases. Third edition. CRC Press, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, Florida 33487-2742, U.S.A.
[3] Steed Jonathan W, Atwood Jerry L. (2013). Supramolecular Chemistry. 2nd edition, Wiley.
[4] Sloan E. Dendy, Koh Carolyn Ann, Sum K. Amadeu, Ballad A. L., Shoup, G. J… & Palermo Thierry. (2009). Hydrates: State of the Art Inside and Outside Flow lines. Journal of Petroleum Technology 61 (12): 89-94. doi: 10.2118/118534-MS.
[5] [5] Haghighi H., Azarinezhad R., Chapoy A., Anderson R., Tohidi B. (2007). Hydraflow: Avoiding Gas Hydrate Problems, SPE 107335, 11th-14th June, London, United Kingdom. doi.org/10.2118/107335-MS.
[6] Akinsete Oluwatoyin Olakunle, Isehunwa Sunday Oloruntoba (2015). Novel Analytical Model for Predicting Hydrate Formation Onset Pressures in Natural Gas Pipeline Systems. Journal of Characterization and Development of Novel Materials 7 (4): 605-619.
[7] Sum K. Amadeu, Koh Carolyn Ann, Sloan E. Dendy. (2009). Clathrate Hydrates: From Laboratory Science to Engineering Practice. Industrial & Engineering Chemistry Research. 48 (16): 7457–7465. https://doi.org/10.1021/ie900679m
[8] Sloan E Dendy. (2003). Clathrate hydrate measurements: Microscopic, mesoscopic, and macroscopic. The Journal of Chemical Thermodynamics. 35: 41-53. doi: 10.1016/S0021-9614(02)00302-6.
[9] Yoslim Jeffry, Linga Praveen, Englezos Peter. (2010). Enhanced Growth of Methane Propane Clathrate Hydrate Crystals with Sodium Dodecyl Sulfate, Sodium Tetradecyl Sulfate, and Sodium Hexadecyl Sulfate Surfactants. Journal of Crystal Growth 313 (1): 68-80. doi: 10.1016/j.jcrysgro.2010.10.009.
[10] Englezos P., Kalogerakis, N., Dholabhai, P. D. and Bishnoi, P. R. (1987). Kinetics of formation of methane and ethane gas hydrates, Chemical Engineering science, 42 (11): 2647-2658. doi: 10.1016/0009-2509(87)87015-X.
[11] Yimin Li, Gabor A. Somorjai. (2007). Surface premelting of ice. The Journal of Physical Chemistry. 111 (27): 9631–9637. doi.org/10.1021/jp071102f.
[12] Kazunori Okutani, Yui Kuwabara, Yasuhiko H. Mor. (2008). Surfactant Effects on Hydrate Formation in an Unstirred Gas/Liquid System: An Experimental Study Using Methane and Sodium Alkyl Sulfates, Chemical Engineering Science, 63 (1): 183-194. doi.org/10.1016/j.ces.2007.09.012.
[13] Huo Z., Freer E., Lamar M., Sannigrahi B., Knauss D. M., Sloan E. D. (2001). Hydrate plug prevention by anti-agglomeration. Chemical Engineering Science. 56 (17): 4979–4991.
[14] Nobuo Maeda. (2015). Is the Surface of Gas Hydrates Dry? Energies. 8 (6): 5361-5369; doi: 10.3390/en8065361.
[15] Peidong Yang (2016). Materials & Solid State Chemistry (course notes). UC Berkeley. Chemistry 253.
[16] Bishop C. L., Pan D., Liu L. M., Tribello G. A., Michaelides A., Wang E. G., Slater B. (2009). On thin ice: Surface order and disorder during pre-melting. Faraday discussions 141: 277–292. https://doi.org/10.1039/B807377P
[17] Talaghat Mohammad Reza, Jokar Seyyed Mohammad. (2018). Prediction of induction time for methane hydrate formation in the presence or absence of THF in flow loop system by Natarajan model. Heat Mass Transfer 54: 2783–2792. https://doi.org/10.1007/s00231-017-2263-5
[18] Bravais class. Online Dictionary of Crystallography. IUCr. Retrieved 8 August 2019.
[19] Dimo Kashchiev, Abbas Firoozabadi. (2003). Induction time in crystallization of gas hydrates. Journal of Crystal Growth, 250 (3–4): 499-515. doi.org/10.1016/S0022-0248(02)02461-2.
[20] Englezos Peter, Bishnoi P. Raj (1988). Gibbs free energy analysis for the supersaturation limits of methane in liquid water and the hydrate-gas-liquid water phase behavior. Fluid Phase Equilibria. 42: 129-140. doi.org/10.1016/0378-3812(88)80054-2.
[21] Bishnoi P. Raj, Natarajan V. (1996). Formation and decomposition of gas hydrates. Fluid Phase Equilibria. 117 (1–2): 168-177, ISSN 0378-3812. doi.org/10.1016/0378-3812(95)02950-8.
[22] Leach Sydney. (2014). Size effects on cation heats of formation. III. Methyl and ethyl substitutions in group IV XH4, X = C, Si, Ge, Sn, Pb. The journal of physical chemistry 118 (48): 11417-31. doi.org/10.1021/jp509468z.
[23] Vinatovskaja, E. 2015. Cold Flow in the Arctic: A Feasibility Study. Master Thesis, University of Stavanger, Stavanger.
Cite This Article
  • APA Style

    Akinsete Oluwatoyin, Obode Elizabeth, Isehunwa Sunday. (2023). Predictive Analytical Model for Hydrate Growth Initiation Point in Multiphase Pipeline System. Petroleum Science and Engineering, 7(1), 14-21. https://doi.org/10.11648/j.pse.20230701.13

    Copy | Download

    ACS Style

    Akinsete Oluwatoyin; Obode Elizabeth; Isehunwa Sunday. Predictive Analytical Model for Hydrate Growth Initiation Point in Multiphase Pipeline System. Pet. Sci. Eng. 2023, 7(1), 14-21. doi: 10.11648/j.pse.20230701.13

    Copy | Download

    AMA Style

    Akinsete Oluwatoyin, Obode Elizabeth, Isehunwa Sunday. Predictive Analytical Model for Hydrate Growth Initiation Point in Multiphase Pipeline System. Pet Sci Eng. 2023;7(1):14-21. doi: 10.11648/j.pse.20230701.13

    Copy | Download

  • @article{10.11648/j.pse.20230701.13,
      author = {Akinsete Oluwatoyin and Obode Elizabeth and Isehunwa Sunday},
      title = {Predictive Analytical Model for Hydrate Growth Initiation Point in Multiphase Pipeline System},
      journal = {Petroleum Science and Engineering},
      volume = {7},
      number = {1},
      pages = {14-21},
      doi = {10.11648/j.pse.20230701.13},
      url = {https://doi.org/10.11648/j.pse.20230701.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pse.20230701.13},
      abstract = {Gas hydrates account for a huge flow assurance encounter in the passage of natural gas through pipelines. Its undesirability stems from the fact that these solids reduce pipe diameter open to gas flow, and challenge pipeline integrity, therefore leading to bursting pipes and increasing costs. Hydrates undergo four phases of development: entrainment, growth, agglomeration and plugging – and do not usually constitute a flow assurance challenge until agglomeration. These challenges are even more pronounced in the presence of condensate in the pipeline. This study was therefore designed by developing a predictive model of the hydrate growth initiation point along the pipeline where hydrates start to form in the presence of gas, condensate, and water. The developed predictive analytical model at which quasi liquid layer starts to form on the hydrate seed relates the quasi-liquid layer temperature to the gas hydrate mass, pipeline length, induction time, hydrate percentage in the fluid composition, hydrate density, change in enthalpy and the flowing hydrate velocity in the pipe system. The developed predictive model will assist in identifying when heating of pipelines can be done to control hydrate formation by keeping the temperature above the quasi-liquid layer temperature. This predictive model was in concordance with field observation.},
     year = {2023}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Predictive Analytical Model for Hydrate Growth Initiation Point in Multiphase Pipeline System
    AU  - Akinsete Oluwatoyin
    AU  - Obode Elizabeth
    AU  - Isehunwa Sunday
    Y1  - 2023/04/15
    PY  - 2023
    N1  - https://doi.org/10.11648/j.pse.20230701.13
    DO  - 10.11648/j.pse.20230701.13
    T2  - Petroleum Science and Engineering
    JF  - Petroleum Science and Engineering
    JO  - Petroleum Science and Engineering
    SP  - 14
    EP  - 21
    PB  - Science Publishing Group
    SN  - 2640-4516
    UR  - https://doi.org/10.11648/j.pse.20230701.13
    AB  - Gas hydrates account for a huge flow assurance encounter in the passage of natural gas through pipelines. Its undesirability stems from the fact that these solids reduce pipe diameter open to gas flow, and challenge pipeline integrity, therefore leading to bursting pipes and increasing costs. Hydrates undergo four phases of development: entrainment, growth, agglomeration and plugging – and do not usually constitute a flow assurance challenge until agglomeration. These challenges are even more pronounced in the presence of condensate in the pipeline. This study was therefore designed by developing a predictive model of the hydrate growth initiation point along the pipeline where hydrates start to form in the presence of gas, condensate, and water. The developed predictive analytical model at which quasi liquid layer starts to form on the hydrate seed relates the quasi-liquid layer temperature to the gas hydrate mass, pipeline length, induction time, hydrate percentage in the fluid composition, hydrate density, change in enthalpy and the flowing hydrate velocity in the pipe system. The developed predictive model will assist in identifying when heating of pipelines can be done to control hydrate formation by keeping the temperature above the quasi-liquid layer temperature. This predictive model was in concordance with field observation.
    VL  - 7
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Department of Petroleum Engineering, Faculty of Technology, University of Ibadan, Ibadan, Nigeria

  • Department of Petroleum Engineering, Faculty of Technology, University of Ibadan, Ibadan, Nigeria

  • Department of Petroleum Engineering, Faculty of Technology, University of Ibadan, Ibadan, Nigeria

  • Sections