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Effects of Reservoir Parameters on Separation Behaviors of the Spiral Separator for Purifying Natural Gas Hydrate

Author

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  • Shunzuo Qiu

    (Chinesisch Deutsch Hsch Angew Wissensch, Yibin University, Yibin 644000, China
    Department of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China)

  • Guorong Wang

    (Department of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China)

Abstract

The spiral separator is an important tool for desanding in natural gas hydrate production, and the change of hydrate reservoir parameters has a great impact on spiral separator behavior. Mastering the influence law is helpful to improve the separation performance. Until now, there was still no detailed analysis of the effect mechanism between reservoir parameters and spiral separator behavior. In this paper, a downhole spiral separator was designed. Then, the effects of reservoir parameters (particle size, hydrate, volume fraction, and sand volume fraction) on separation performance (discrete phase distribution, separation efficiency, and differential pressure) with different flow rates were investigated by numerical simulation method Fluent 18.0. The results show that effects degree of reservoir parameters is in order from large to small: sand phase volume fraction, particle size, hydrate volume fraction. As the particle size increases, the separation performance is improved. When the sand volume fraction increases, the natural gas hydrate (NGH) recovery efficiency and differential pressure both increase, but the sand removal efficiency decreases. When the hydrate fraction increases, the separation performance change law is opposite to that when the sand volume fraction increases. In addition, with increasing the flow rate, the efficiency and differential pressure increase. Therefore, reservoir saturation and porosity can balance NGH recovery efficiency and sand removal efficiency. Furthermore, the spiral separator has good performance under the change of reservoir parameters. The performance of the NGH spiral separator can be also maintained by increasing the flow rate.

Suggested Citation

  • Shunzuo Qiu & Guorong Wang, 2020. "Effects of Reservoir Parameters on Separation Behaviors of the Spiral Separator for Purifying Natural Gas Hydrate," Energies, MDPI, vol. 13(20), pages 1-15, October.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5346-:d:427735
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    References listed on IDEAS

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    1. Wang, Yi & Feng, Jing-Chun & Li, Xiao-Sen & Zhang, Yu, 2016. "Experimental and modeling analyses of scaling criteria for methane hydrate dissociation in sediment by depressurization," Applied Energy, Elsevier, vol. 181(C), pages 299-309.
    2. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
    3. Michael T. Kezirian & S. Leigh Phoenix, 2017. "Natural Gas Hydrate as a Storage Mechanism for Safe, Sustainable and Economical Production from Offshore Petroleum Reserves," Energies, MDPI, vol. 10(6), pages 1-8, June.
    4. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
    5. Feng, Jing-Chun & Wang, Yi & Li, Xiao-Sen, 2017. "Entropy generation analysis of hydrate dissociation by depressurization with horizontal well in different scales of hydrate reservoirs," Energy, Elsevier, vol. 125(C), pages 62-71.
    6. Jingsheng Lu & Youming Xiong & Dongliang Li & Xiaodong Shen & Qi Wu & Deqing Liang, 2018. "Experimental Investigation of Characteristics of Sand Production in Wellbore during Hydrate Exploitation by the Depressurization Method," Energies, MDPI, vol. 11(7), pages 1-17, June.
    7. Chong, Zheng Rong & Yang, She Hern Bryan & Babu, Ponnivalavan & Linga, Praveen & Li, Xiao-Sen, 2016. "Review of natural gas hydrates as an energy resource: Prospects and challenges," Applied Energy, Elsevier, vol. 162(C), pages 1633-1652.
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    Cited by:

    1. Qingping Li & Shuxia Li & Shuyue Ding & Zhenyuan Yin & Lu Liu & Shuaijun Li, 2022. "Numerical Simulation of Gas Production and Reservoir Stability during CO 2 Exchange in Natural Gas Hydrate Reservoir," Energies, MDPI, vol. 15(23), pages 1-17, November.
    2. Qi Nie & Meiqiu Li & Sizhu Zhou, 2022. "Structural Parameter Optimization of the Helical Blade of the Variable-Pitch, Downhole, Cyclone Separator Based on the Response Surface Method," Energies, MDPI, vol. 15(18), pages 1-15, September.
    3. Qi Nie & Shifan Zhang & Yuan Huang & Xianzhong Yi & Jiwei Wu, 2022. "Numerical and Experimental Investigation on Safety of Downhole Solid–Liquid Separator for Natural Gas Hydrate Exploitation," Energies, MDPI, vol. 15(15), pages 1-14, August.

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