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Experimental investigation on blockage predictions in gas pipelines using the pressure pulse wave method

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Listed:
  • Chu, Jiawei
  • Liu, Yu
  • Lv, Xin
  • Li, Qingping
  • Dong, Hongsheng
  • Song, Yongchen
  • Zhao, Jiafei

Abstract

Blockages in pipelines due to solid sediments are common problems in oil and gas transportation. Rapid detection of the location and rate of accumulating blockages can significantly relieve potential risks. In this work, a pipeline blockage detection method is developed based on pressure pulse wave that is suitable for different blockage types. This method includes arranging three high-frequency dynamic pressure sensors along the pipeline for blockage characterization by collectively utilizing the information in the reflected and transmitted waves. A set of calculations for the blockage position, length, and severity for different blockage types including long partial, single-point partial, and multipoint partial blockages is developed. The results show that the average prediction errors for the location, length, and severity range from 0.16 to 0.34%, 3.19–3.62%, and 1.10–32.3%, respectively, for the three blockage types. Our work indicates the advantages of the pressure pulse wave method in terms of the prediction accuracy, response speed, operation complexity, and economic efficiency. Moreover, the pressure pulse wave technology developed in this study will be helpful as an early warning for pipeline blockages while ensuring their low-cost and safe operation.

Suggested Citation

  • Chu, Jiawei & Liu, Yu & Lv, Xin & Li, Qingping & Dong, Hongsheng & Song, Yongchen & Zhao, Jiafei, 2021. "Experimental investigation on blockage predictions in gas pipelines using the pressure pulse wave method," Energy, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:energy:v:230:y:2021:i:c:s0360544221011452
    DOI: 10.1016/j.energy.2021.120897
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    References listed on IDEAS

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    1. Wang, Bin & Fan, Zhen & Wang, Pengfei & Liu, Yu & Zhao, Jiafei & Song, Yongchen, 2018. "Analysis of depressurization mode on gas recovery from methane hydrate deposits and the concomitant ice generation," Applied Energy, Elsevier, vol. 227(C), pages 624-633.
    2. Guo, Xianwei & Xu, Lei & Wang, Bin & Sun, Lingjie & Liu, Yulong & Wei, Rupeng & Yang, Lei & Zhao, Jiafei, 2020. "Optimized gas and water production from water-saturated hydrate-bearing sediment through step-wise depressurization combined with thermal stimulation," Applied Energy, Elsevier, vol. 276(C).
    3. Zhao, Jiafei & Liu, Yulong & Guo, Xianwei & Wei, Rupeng & Yu, Tianbo & Xu, Lei & Sun, Lingjie & Yang, Lei, 2020. "Gas production behavior from hydrate-bearing fine natural sediments through optimized step-wise depressurization," Applied Energy, Elsevier, vol. 260(C).
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    Cited by:

    1. Chen, Zherui & Dai, Sining & Chen, Cong & Lyu, Huangwu & Zhang, Shuheng & Liu, Xuanji & Li, Yanghui, 2024. "Hydrate aggregation in oil-gas pipelines: Unraveling the dual role of asphalt and water," Energy, Elsevier, vol. 290(C).
    2. 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).
    3. Kele Yan & Dianqiang Xu & Qiong Wang & Jiawei Chu & Shengjie Zhu & Jiafei Zhao, 2023. "Experimental Investigation of Gas Transmission Pipeline Blockage Detection Based on Dynamic Pressure Method," Energies, MDPI, vol. 16(15), pages 1-10, July.

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