Study on Erosion Results of Temporary Venting Device in Shale Gas Pipeline Station

Authors

  • Yong Chen
  • Zheng Zhang
  • Dongying Meng
  • Jinjin Tan

DOI:

https://doi.org/10.54097/1t7fgb89

Keywords:

FLUENT; CFD; Shale gas; Erosion rate; Grey Correlation analysis; Pipeline failure analysis.

Abstract

 A temporary venting device for shale gas pipeline station is designed. After one year of adhibition, there are pits in the elbow of the venting pipe, which is presumed to be caused by the erosion of the elbow by untreated shale gas in the gas collector. The erosion model is simplified. The sand is set as the discrete phase, and the gas and liquid are set as the continuous phase. Based on the VOF model and the DPM discrete phase model of multiphase flow, the erosion rate of U-shaped pipe is studied by ANSYS Fluent. The internal flow field of multiphase flow in the pipe is studied. The influence of solid particle velocity, mass flow, particle diameter, curvature-to-diameter rate and pipe diameter on the erosion rate of the elbow is studied by using the control variable method. The influence of various factors on the erosion rate is analyzed by grey correlation analysis. It provides a basis for reducing the erosion rate of U-shaped pipeline and prolonging the service life of pipeline.

Downloads

Download data is not yet available.

References

[1] Nan Lin, Hui Huang, Shili Li, Honglian Ma, Yang Li (2020) Numerical simulation of erosion wear of pipeline elbow in shale gas gathering station. Sci. Technol. Eng. 20: 8543-8549.(in Chinese)DOI: 10.3969/j.issn.1671-1815.2020.21.017

[2] Subhash N.Shah, Samyak Jain (2008) Coiled tubing erosion during hydraulic fracturing slurry flow. Wear 264: 279-290.DOI: 10.1016/j.wear.2007.03.016.

[3] B. Onen, Y. Yildiran, E. Avcu, A. Cinar (2015) Investigation of the effects of erosion test parameters on the particle impengement velocity by using CFD analysis. Acta Phys. Pol. A 127: 1225-1229.DOI: 10.12693/APhysPolA.127.1225.

[4] V. Singh, S. Kumar, S. K. Mohapatra (2019) Modeling of Erosion Wear of Sand Water Slurry Flow through Pipe Bend using CFD. J. of Appl. Fluid Mech. 12: 679-687.DOI: 10.29252/jafm.12.03.29199.

[5] Zhang Jixin, Kang Jian, Fan Jianchun, Gao Jiancun (2016) Research on erosion wear of high-pressure pipes during hydraulic fracturing slurry flow. J. Loss Prev. Process Ind. 43: 438-448.DOI: 10.1016/j.jlp.2016.07.008.

[6] A. Costa, R. Nara (2020) Computational Fluid Dynamics Erosion Investigation Using Single Objective Adjoint Shape Optimization. J. Pipeline Syst. Eng. Pract. 11: 6060001(1-8). DOI: 10.1061/(ASCE)PS.1949-1204.0000468.

[7] Singh Jashanpreet, Singh Jatinder Pal, Singh Mandeep, Szala Miroslaw (2019) Computational analysis of solid particle-erosion produced by bottom ash slurry in 90° elbow. MATEC Web Conf. 252: 4008. DOI: 10.1051/matecconf/201925204008.

[8] Mikilkumar B. Gandhi, Rupa Vuthaluru, Hari Babu Vuthaluru, David H. French, Kalpit Shah (2012) CFD based prediction of erosion rate in large scale wall-fired boiler. Appl. Therm. Eng. 42: 90-100. DOI: 10.1016/j.applthermaleng.2012.03.015.

[9] Wacław Wojnar (2013) Erosion of heat exchangers due to sootblowing. Eng. Failure Anal. 33: 473-489. DOI: 10.1016/j.engfailanal.2013.06.026.

[10] Jincheng Hu, Rong Li, Deng Li,Yi Hu, Zhen Liu, Xiaochuan Wang (2022) Numerical simulation of erosion wear of fracturing pump valve. Surf. Technol. 51: 225-232. (in Chinese) DOI: 10.16490/j.cnki.issn.1001-3660.2022.08.018.

[11] Fucheng Deng, Bin Huang, Biao Yin, Xiaosen Li, Xianzhong Yi (2022) Study on erosion of slotted liner in shale gas hydrate exploitation. J. Cent. South Univ. 53: 1023-1032. (in Chinese) DOI: 10.11817/j.issn.1672-7207.2022.03.023.

[12] Kun Ding, Hongcheng Yin, Bingqian Wan, Hao Cheng, Lu Xiang, Jianmin Li (2017) Analysis of particle size to erosion wear of sliding sleeve ball seat based on Fluent software. AIP Conf. Proc. 1829: 020024.DOI: 10.1063/1.4979756.

[13] M. Amara, B.G.N. Muthanna, M. Tahar Abbes, M. Hadj Melianiv (2018) Effect of sand particles on the Erosion-corrosion for a different locations of carbon steel pipe elbow. Procedia Struct. Integr. 13: 2137-2142.DOI: 10.1016/j.prostr.2018.12.151.

[14] OM Parkash, Arvind Kumar, Basant Singh Sikarwar (2021) Computational Erosion Wear Model Validation of Particulate Flow Through Mitre Pipe Bend. Arabian J. Sci. Eng. 46: 1-18.DOI: 10.1007/s13369-021-05931-x.

[15] Jukai Chen, Yueshe Wang, Xiufeng Li, Renyang He, Shuang Han, Yanlin Chen (2015) Erosion prediction of liquid-particle two-phase flow in pipeline elbows via CFD–DEM coupling method. Powder Technol. 275: 182-187.DOI: 10.1016/j.powtec.2014.12.057.

[16] G. Grant and W. Tabakoff (1975) Erosion Prediction in Turbomachinery Resulting from Environmental Solid Particles. J. Aircr. 12: 471-478. DOI: 10.2514/3.59826.

[17] Li Chen, Shi-Ming Ji, Dapeng Tan (2012) Multiple-loop digital control method for a 400-Hz inverter system based on phase feedback. IEEE Trans. Power Electron. 28: 408-417.DOI: 10.1109/TPEL.2012.2188043.

[18] Gujun Chen, Qiangqiang Wang, Shengping He (2019) Assessment of an Eulerian multi-fluid VOF model for simulation of multiphase flow in an industrial Ruhrstahl–Heraeus degasser. Metall. Res. Technol. 116: 1-10.DOI: 10.1051/metal/2019049.

[19] Shiming Ji, Xiaoxing Weng, Dapeng Tan (2012) Analysis method of flow field characteristics of soft abrasive two-phase flow based on two-dimensional model of level set method. J. Phys. 61: 010205-010205.(in Chinese) DOI: 10.7498/aps.61.010205.

[20] Ye Pan, Shiming Ji, Dapeng Tan D, Huiqiang Cao (2020) Cavitation-based soft abrasive flow processing method. Int. J. Adv. Manuf. Technol. 109: 2587-2602.DOI: 10.1007/s00170-020-05836-3.

[21] Mengyun Zhang, Guiyang Ma, Cunlei Li, Zonglin Sun, Huizong Xiao (2017) Comparative Analysis of Erosion Wear of Bend Pipe and Blind Pipe. China Saf. Prod. Sci. Technol. 13: 76-81.(in Chinese) DOI: 10.7498/aps.61.010205.

Downloads

Published

03-03-2025

Issue

Section

Articles

How to Cite

Chen, Y., Zhang, Z., Meng, D., & Tan, J. (2025). Study on Erosion Results of Temporary Venting Device in Shale Gas Pipeline Station. Academic Journal of Science and Technology, 14(2), 263-274. https://doi.org/10.54097/1t7fgb89