Prediction of hydrate deposition in pipelines to improve gas transportation efficiency and safety
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DOI: 10.1016/j.apenergy.2019.113521
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Cited by:
- 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).
- 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).
- Jia, Wenlong & Yang, Fan & Li, Changjun & Huang, Ting & Song, Shuoshuo, 2021. "A unified thermodynamic framework to compute the hydrate formation conditions of acidic gas/water/alcohol/electrolyte mixtures up to 186.2 MPa," Energy, Elsevier, vol. 230(C).
- 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.
- 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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Keywords
Gas transportation efficiency and safety; Forecast model; Hydrate deposition; Water condensation;All these keywords.
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