Journal of Failure Analysis and Prevention

, Volume 19, Issue 5, pp 1304–1311 | Cite as

Dynamic Simulation of Erosion Failure of a Hydraulic Jet Tool via Discrete Phase Model

  • Jingze LiEmail author
  • Linlin Sun
  • Xun Qiao
Technical Article---Peer-Reviewed


Hydraulic perforating technology uses the erosion of high-velocity solid–liquid flow to punch or cut the target wall. During the perforating process, the high-velocity two-phase flow will bound back to the outer wall of the tool to cause erosion damage, and in severe cases, the tool will fail. In this paper, the discrete phase model was used to obtain the parameters of particles rebound from target wall, and then get the erosion characteristics of outer wall of jet tool including erosion rate and erosion distribution. The critical parameters of 35CrMo erosion were obtained from a solid–liquid jet flow experiment. The calculated results show that the impact velocity and angle of particle on the tool surface are significantly affected by perforation depth. The erosion rate of outer wall of tool will decrease with the increase in perforating depth. The effect of jet flow velocity on eroded areas is more than erosion rate. From that, the erosion rate is mainly affected by the injection velocity of the perforating fluid, while the erosion region is determined by the perforation depth.


Hydraulic jet tool Hydraulic perforation Solid–liquid two-phase flow Splash erosion Discrete Phase Model 



This work was supported by the Xijing University Research Foundation (Grant No. XJ160119) and Xijing University Special Research Foundation (Grant No. XJ17T09).


  1. 1.
    S.J. Wang, Y.J. Yu, Q.L. Guo, S.Y. Wang, X.Z. Wu, New advance in resources evaluation of tight oil. Acta Petrol. Sin. 35(6), 1095–1104 (2014)Google Scholar
  2. 2.
    J.X. Zhang, J. Kang, J.C. Fan, J.C. Gao, Study on erosion wear of fracturing pipeline under the action of multiphase flow in oil & gas industry. J. Nat. Gas. Sci. Eng. 32, 334–346 (2016)CrossRefGoogle Scholar
  3. 3.
    J. Bitter, Study of erosion phenomenon—1, 2. Wear 6(1), 169–190 (1963)CrossRefGoogle Scholar
  4. 4.
    I. Finnie, Erosion of surfaces by solid particles. Wear 3(2), 87–103 (1960)CrossRefGoogle Scholar
  5. 5.
    I.M. Hutchings, R.E. Winter, Particle erosion of ductile metals: a mechanism of material removal. Wear 27(1), 121–128 (1974)CrossRefGoogle Scholar
  6. 6.
    M. Parsi, K. Najmi, F. Najafifard, S. Hassani, B.S. McLaury, S.A. Shiraziab, A comprehensive review of solid particle erosion modeling for oil and gas wells and pipelines applications. J. Nat. Gas. Sci. Eng. 21, 850–873 (2014)CrossRefGoogle Scholar
  7. 7.
    A. Gnanavelu, N. Kapur, A. Neville, J.F. Flores, An integrated methodology for predicting material wear rates due to erosion. Wear 267(11), 1935–1944 (2009)CrossRefGoogle Scholar
  8. 8.
    R.J.K. Wood, D.W. Wheeler, Design and performance of a high velocity air–sand jet impingement erosion facility. Wear 220(2), 95–112 (1998)CrossRefGoogle Scholar
  9. 9.
    C.Z. Cai, Z.W. Huang, G.S. Li, F. Gao, Particle velocity distributions of abrasive liquid nitrogen jet and parametric sensitivity analysis. J. Nat. Gas. Sci. Eng. 27(3), 1657–1666 (2015)CrossRefGoogle Scholar
  10. 10.
    Z. Li, Y. Xu, Z.D. Wang, Z. Chen, G.W. Zhang, Analysis on nozzle wear of hydraulic sandblast fracturing tools. Oil Field. Equip. 39(11), 25–28 (2010)Google Scholar
  11. 11.
    Z.G. Wang, Y.N. Ran, S.M. Long, L. Cui, Y.H. Dou, Numerical simulation of slurry flow erosion in perforating by hydraulic jetting tool. China Petro. Mach. 43(9), 61–65 (2015)Google Scholar
  12. 12.
    J.R. Cheng, N.S. Zhang, Z. Li, Y.H. Dou, Y.P. Cao, Erosion failure of horizontal pipe reducing wall in power-Law fluid containing particles via CFD–DEM coupling method. J. Fail. Anal. Prev. 17(5), 1–14 (2017)CrossRefGoogle Scholar
  13. 13.
    N. Iqbal, C. Rauh, Coupling of discrete element model (DEM) with computational fluid mechanics (CFD): a validation study. Appl. Math. Comput. 277, 154–163 (2016)Google Scholar
  14. 14.
    J.K. Chen, Y.S. Wang, X.F. Li, R.Y. He, S. Han, Y.L. Chen, Erosion prediction of liquid-particle two-phase flow in pipeline elbows via CFD–DEM coupling method. Powder Technol. 275, 182–187 (2015)CrossRefGoogle Scholar
  15. 15.
    J.R. Cheng, Y.H. Dou, N.S. Zhang, Z. Li, Z.G. Wang, A new method for predicting erosion damage of suddenly contracted pipe impacted by particle cluster via CFD–DEM. Materials 11(10), 1858–1882 (2018)CrossRefGoogle Scholar
  16. 16.
    B. Blais, M. Lassaigne, C. Goniva, L. Fradette, F. Bertrand, Development of an unresolved CFD-DEM model for the flow of viscous suspensions and its application to solid–liquid mixing. J. Comput. Phys. 318, 201–221 (2016)CrossRefGoogle Scholar
  17. 17.
    G.K.P. Barrios, R.M.D. Carvalho, A. Kwade, L.M. Tavares, Contact parameter estimation for DEM simulation of iron ore pellet handling. Powder Technol. 248, 84–93 (2013)CrossRefGoogle Scholar
  18. 18.
    Y. Tsuji, T. Tanaka, T. Ishida, Lagrangian numerical-simulation of plug flow of cohesionless particles in a horizontal pipe. Powder Technol. 71, 239–250 (1992)CrossRefGoogle Scholar
  19. 19.
    X. Chen, B.S. McLaury, S.A. Shirazi, Application and experimental validation of a computational fluid dynamics (CFD)-based erosion prediction model in elbows and plugged tees. Comput. Fluids 33(36), 1251–1272 (2004)CrossRefGoogle Scholar
  20. 20.
    B.S. McLaury, Predicting solid particle erosion resulting from turbulent fluctuations in oilfield geometries (The University of Tulsa, Tulsa, 1996), pp. 28–37Google Scholar
  21. 21.
    K. Ahlert, Effects of particle impingement angle and surface wetting on solid particle erosion of AISI 1018 Steel (The University of Tulsa, Tulsa, 1994), pp. 52–59Google Scholar
  22. 22.
    L. Cui, H. Li, W. Zhang et al., Study on erosion-resistance of 35CrMo steel for hydraulic jetting tools. China Petro. Mach 43(3), 83–86 (2015)Google Scholar

Copyright information

© ASM International 2019

Authors and Affiliations

  1. 1.School of Mechanical EngineeringXijing UniversityXi’anChina

Personalised recommendations