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Prediction of hydrate deposition in pipelines to improve gas transportation efficiency and safety

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  • Zhang, Jianbo
  • Wang, Zhiyuan
  • Liu, Shun
  • Zhang, Weiguo
  • Yu, Jing
  • Sun, Baojiang

Abstract

The significant amounts of hydrocarbon resources (oil, natural gas, and gas hydrates) present in subsea and cold regions represent one of the most pre-dominant resources in the future. However, the deposition of gas hydrates in the transportation pipeline significantly decreases the efficiency and the safety of energy recovery. In this study, a novel model for forecasting hydrate deposition in gas transportation pipelines was established by considering the hydrates generated from the condensate water on the cold wall and the condensate drops in the gas core. By using the proposed model, the location and severity of hydrate deposition in pipelines can be quantitatively forecasted and analyzed. Compared with the existing methods, the average relative error between the calculated pressure drop and the experimental data was reduced from 34.98% to 7.43%, and the mean relative error between the calculated thickness of deposited hydrates and the experimental results was within 9.17%. The calculated results indicate that the deposited hydrates are unevenly distributed along the pipeline, and the deposition of hydrates formed from the condensate drops in the gas core is essential during the calculation of hydrate deposition in gas pipelines. The proposed model exhibits its good reliability for the water-saturated gas flow systems, but its applicability for the flow pattern with the existence of free water remains to be analyzed. Thus, the proposed model provides an effective support for the high-efficiency and high-safety development of hydrocarbon energy in subsea and cold regions.

Suggested Citation

  • Zhang, Jianbo & Wang, Zhiyuan & Liu, Shun & Zhang, Weiguo & Yu, Jing & Sun, Baojiang, 2019. "Prediction of hydrate deposition in pipelines to improve gas transportation efficiency and safety," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    • Handle: RePEc:eee:appene:v:253:y:2019:i:c:112
    DOI: 10.1016/j.apenergy.2019.113521
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    References listed on IDEAS

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    2. Liao, Youqiang & Sun, Xiaohui & Sun, Baojiang & Wang, Zhiyuan & Wang, Jintang & Wang, Xuerui, 2021. "Geothermal exploitation and electricity generation from multibranch U-shaped well–enhanced geothermal system," Renewable Energy, Elsevier, vol. 163(C), pages 2178-2189.
    3. Hosseini, Mostafa & Leonenko, Yuri, 2023. "A reliable model to predict the methane-hydrate equilibrium: An updated database and machine learning approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    4. Zhao, Ermeng & Hou, Jian & Ji, Yunkai & Liu, Yongge & Bai, Yajie, 2021. "Enhancing gas production from Class II hydrate deposits through depressurization combined with low-frequency electric heating under dual horizontal wells," Energy, Elsevier, vol. 233(C).
    5. M Fahed Qureshi & Majeda Khraisheh & Fares Almomani, 2020. "Doping amino acids with classical gas hydrate inhibitors to facilitate the hydrate inhibition effect at low dosages," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(4), pages 783-794, August.

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