SpringerLink
Log in

Experimental and Numerical Study on the Impact of Sand-Carrying Liquid Erosion on Coiled Tubing Wall

  • Original Research Article
  • Published:
Journal of Failure Analysis and Prevention Aims and scope Submit manuscript

Abstract

Coiled tubing endures significant pressure and fluid impact throughout the oil and gas production and transportation processes. The abrasive action of sand-carrying liquids against the pipe wall leads to gradual thinning, compromising its ability to bear pressure and tension, ultimately resulting in fractures and leaks. To address this concern, this study conducts liquid–solid two-phase steady-state erosion experiments on coiled tubing flushed with sand-carrying liquids. The experiments choose CT110, TS110 and QT1100 tubing samples, explore various particle properties, fluid factors, and pipeline conditions to investigate the thinning rate caused by erosion. The CT110 coiled tubing exhibits a higher erosion rate when subjected to sand-laden fluid erosion in the experiment. This characteristic proves beneficial in numerical simulations, as it allows for a more pronounced demonstration of the effectiveness of erosion prediction models under equivalent conditions. A predictive model for coiled tubing erosion and thinning has been established by incorporating erosion theory and the discrete phase model. The discrete phase model adeptly comprehends and describes the experimental phenomena associated with sand-carrying fluid erosion. By providing comprehensive experimental data and theoretical analysis, this article facilitates the prediction of the uniform thinning rate of the oil pipe wall and enables the estimation of its service life.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Y. Chen, Y. Li, W.U. Rehman, X. Fan, Influence of ocean load on the axial force of coiled tubing under different buckling states. Measurement. 189, 110507 (2022)

    Article  Google Scholar 

  2. P. Li, F. Wang, J. Gao, D. Lin, J. Gao, J. Lu, E. Qiu, C. Liu, Failure mode and the prevention and control technology of buried PE pipeline in service: state of the art and perspectives. Adv. Civil Eng. 2022, 2228690 (2022)

    Article  Google Scholar 

  3. H.J. Zhu, H.L. Zhao, Y.P. **e, X. Zhang, Experimental investigation of the effect of the wall proximity on the mode transition of a vortex-induced vibrating flexible pipe and the evolution of wall-impact. J. Hydrodyn. 34(2), 329–353 (2022)

    Article  Google Scholar 

  4. J. Zheng, Y. Dou, Z. Li, Y. Zhang, X. Yang, C. Bi, Analysis on fishing failure mechanism of downhole choke in tight gas well. J. Fail. Anal. Prev. 22(1), 426–435 (2022)

    Article  Google Scholar 

  5. I.E. Kalu, H.M. Inglis, S. Kok, Failure assessment methodology for boiler tubes with localized external erosion defects. Int. J. Press. Vessels Pip. 188, 104190 (2020)

    Article  Google Scholar 

  6. Y. Dong, D. **ong, Z. Su, X. Duan, X. Lu, S. Zhang, Y. Yuan, The influences of mass failure on the erosion and hydraulic processes of gully headcuts based on an in situ scouring experiment in Dry-hot valley of China. CATENA. 176, 14–25 (2019)

    Article  Google Scholar 

  7. X. Gao, Y. Shao, C. Chen, H. Zhu, K. Li, Experimental and numerical investigation on transverse impact resistance behaviour of pipe-in-pipe submarine pipelines after service time. Ocean Eng. 248, 110868 (2022)

    Article  Google Scholar 

  8. W. Peng, L. Ma, P. Wang, X. Cao, K. Xu, Y. Miao, Experimental and CFD investigation of flow behavior and sand erosion pattern in a horizontal pipe bend under annular flow. Particuology. 75, 11–25 (2023)

    Article  Google Scholar 

  9. Y. Yunda, Z. **aolan, Y. Yang, Study on erosion wear law and anti-erosion ability optimization of wellhead four-way. J. Fail. Anal. Prev. 23(1), 234–244 (2023)

    Article  Google Scholar 

  10. J. Zheng, Y.H. Dou, Y. Cao, X. Yan, Prediction and analysis of wellbore temperature and pressure of HTHP gas wells considering multifactor coupling. J. Fail. Anal. Prev. 20, 137–144 (2020)

    Article  Google Scholar 

  11. Y. Liu, Yi. Bao, Review on automated condition assessment of pipelines with machine learning. Adv. Eng. Inform. 53, 101687 (2022)

    Article  Google Scholar 

  12. M. Waqar, A.M. Memon, M. Sabih, L.M. AlHems, Composite pipelines: analyzing defects and advancements in non-destructive testing techniques. Eng. Fail. Anal. 157, 107914 (2023)

    Article  Google Scholar 

  13. L. Yang, Z. Wang, S. Gao, Pipeline magnetic flux leakage image detection algorithm based on multiscale SSD network. IEEE Trans. Ind. Inf. 16(1), 501–509 (2019)

    Article  CAS  Google Scholar 

  14. X. Tan, L. Fan, Y. Huang, Y. Bao, Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors. Autom. Constr. 132, 103953 (2021)

    Article  Google Scholar 

  15. Y. Liu, X. Tan, Yi. Bao, Machine learning-assisted intelligent interpretation of distributed fiber optic sensor data for automated monitoring of pipeline corrosion. Measurement. 226, 114190 (2024)

    Article  Google Scholar 

  16. M. Wang, Y. Chen, Y. Liu, S. Li, S. Zhang, Z. Li, Analysis and optimization of fluid solid coupling erosion in gas pipeline based on DPM model. J. Fail. Anal. Prev. 23(4), 1701–1714 (2023)

    Article  Google Scholar 

  17. R. Li, Z. Sun, A. Li, Y. Li, Z. Wang, Design optimization of hemispherical protrusion for mitigating elbow erosion via CFD-DPM. Powder Technol. 398, 117128 (2022)

    Article  CAS  Google Scholar 

  18. S. Vishnuvardhan, A.R. Murthy, A. Choudhary, A review on pipeline failures, defects in pipelines and their assessment and fatigue life prediction methods. Int. J. Press. Vessels Pip. 201, 104853 (2023)

    Article  Google Scholar 

  19. J. Zhao, Y. Deng, M. Dai, Y. Wu, I. Ali, C. Peng, Preparation of super-hydrophobic/super-oleophilic quartz sand filter for the application in oil-water separation. J. Water Process Eng. 46, 102561 (2022)

    Article  Google Scholar 

  20. S. Turenne, M. Fiset, J. Masounave, The effect of sand concentration on the erosion of materials by a slurry jet. Wear. 133(1), 95–106 (1989)

    Article  Google Scholar 

  21. M. Mezhericher, T. Brosh, A. Levy, Modeling of particle pneumatic conveying using DEM and DPM methods. Part. Sci. Technol. 29(2), 197–208 (2011)

    Article  CAS  Google Scholar 

  22. Y. Cao, Z. Chen, Y. Pan, J. Wang, H. Mi, Y. Dou, Sensitivity analysis of coiled tubing erosion wear based on FLUENT. J. Phys.: Conf. Series. 1985(1), 012013 (2021)

    Google Scholar 

Download references

Acknowledgments

This project was supported by the National Natural Science Foundation of China (52004215, 12101482), Shaanxi Youth Science and Technology New Star Project (Talent) (2023KJXX-052), **'an Science and Technology Plan Project, Key Industrial Chain Technology Research General Project (2024JH-CLYB-0041) Shaanxi Provincial Technology Innovation Guidance Program (2024QCY-KXJ-019), Gansu Provincial Technology Innovation Guidance Program (23CXGL0018), the Key R&D Plan of Shaanxi Province (2022GY-129,2023-YBSF-372), China Postdoctoral Science Foundation (2022M722604), Shaanxi Provincial Market Regulation Science and Technology Plan Project (2022KY15, 2023KY14), **liang Special Plan for Scientific and Technological Talents (PL-STK-2022A-095).

Author information

Authors and Affiliations

  1. School of Mechanical Engineering, **’an Shiyou University, **’an, 710065, Shaanxi, People’s Republic of China

    Jie Zheng, Zifan Xu & Kun He

  2. The First Gas Plant of PetroChina Changqing Oilfied Company, **’an, 718500, Shaanxi, People’s Republic of China

    **n Yan

  3. School of Science, **’an University of Architecture and Technology, **’an, 710055, Shaanxi, People’s Republic of China

    Yarong Zhang

  4. **’an Special Equipment Inspection Institute, **’an, 710065, Shaanxi, People’s Republic of China

    Jie Zheng, Shengyong Mu, Xu Yang & Yarong Zhang

  5. School of Power and Energy, Northwestern Polytechnical University, **’an, 710072, Shaanxi, People’s Republic of China

    Jie Zheng & Yarong Zhang

Authors
  1. Jie Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zifan Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. **n Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shengyong Mu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xu Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yarong Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Kun He
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jie Zheng.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zheng, J., Xu, Z., Yan, X. et al. Experimental and Numerical Study on the Impact of Sand-Carrying Liquid Erosion on Coiled Tubing Wall. J Fail. Anal. and Preven. (2024). https://doi.org/10.1007/s11668-024-01948-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11668-024-01948-0

Keywords

Search

Navigation