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An improved hydraulic model of gathering pipeline network integrating pressure-exchange ejector

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Listed:
  • Hong, Bingyuan
  • Li, Xiaoping
  • Li, Yu
  • Chen, Shilin
  • Tan, Yao
  • Fan, Di
  • Song, Shangfei
  • Zhu, Baikang
  • Gong, Jing

Abstract

Pressure-exchange ejector is a novel equipment to overcome the pressure mismatch in multi-pressure gathering pipeline network. Hydraulic simulation plays an important role in the safety monitoring and operation optimization of gathering pipeline network. However, there is currently no hydraulic simulation model of the gathering pipeline network with the pressure-exchange ejector. This paper proposes a steady-state hydraulic simulation model, which consists of pipeline network structure sub-model, pipeline flow sub-model, and pressure-exchange ejector sub-model. Pipe flow, mass balance and detailed characteristics of pressure-exchange ejector are taken into consideration in the model to determine the unknown pressure and flow parameters. The proposed model is solved by the Newton-Raphson iterative method and validated by experimental and field data. The installation schemes of pressure-ejector in a real-world gas field are determined by scenario analysis to improve gas field production. This study provides an analytical tool for multi-pressure gathering pipeline network and guidance for gas field production.

Suggested Citation

  • Hong, Bingyuan & Li, Xiaoping & Li, Yu & Chen, Shilin & Tan, Yao & Fan, Di & Song, Shangfei & Zhu, Baikang & Gong, Jing, 2022. "An improved hydraulic model of gathering pipeline network integrating pressure-exchange ejector," Energy, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:energy:v:260:y:2022:i:c:s036054422201996x
    DOI: 10.1016/j.energy.2022.125101
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    References listed on IDEAS

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    1. Abeysekera, M. & Wu, J. & Jenkins, N. & Rees, M., 2016. "Steady state analysis of gas networks with distributed injection of alternative gas," Applied Energy, Elsevier, vol. 164(C), pages 991-1002.
    2. Rueda, Cristina & Rodríguez, Pilar, 2010. "State space models for estimating and forecasting fertility," International Journal of Forecasting, Elsevier, vol. 26(4), pages 712-724, October.
    3. McCausland, William J. & Miller, Shirley & Pelletier, Denis, 2011. "Simulation smoothing for state-space models: A computational efficiency analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 199-212, January.
    4. Marcos-Martinez, Raymundo & Measham, Thomas G. & Fleming-Muñoz, David A., 2019. "Economic impacts of early unconventional gas mining: Lessons from the coal seam gas industry in New South Wales, Australia," Energy Policy, Elsevier, vol. 125(C), pages 338-346.
    5. Fan, Di & Gong, Jing & Zhang, Shengnan & Shi, Guoyun & Kang, Qi & Xiao, Yaqi & Wu, Changchun, 2021. "A transient composition tracking method for natural gas pipe networks," Energy, Elsevier, vol. 215(PA).
    6. Cavalieri, Francesco, 2017. "Steady-state flow computation in gas distribution networks with multiple pressure levels," Energy, Elsevier, vol. 121(C), pages 781-791.
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    Cited by:

    1. Li, Xiaoping & Yang, Qi & Xie, Xugang & Chen, Sihang & Pan, Chen & He, Zhouying & Gong, Jing & Hong, Bingyuan, 2023. "Spatiotemporal simulation of gas-liquid transport in the production process of continuous undulating pipelines," Energy, Elsevier, vol. 278(PA).
    2. Zhao, Yiming & Hu, Dapeng & Yu, Yang & Li, Haoran, 2023. "Study on gas wave ejector with a novel wave rotor applied in natural gas extraction," Energy, Elsevier, vol. 277(C).
    3. Koo, Bonchan & Chang, Seungjoon & Kwon, Hweeung, 2023. "Digital twin for natural gas infrastructure operation and management via streaming dynamic mode decomposition with control," Energy, Elsevier, vol. 274(C).

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