Optimization of Front-End Structural Parameters of Radial Water Jet Bit Based on FLUENT Numerical Simulation
The multi-hole jet bit is the core component of the surface water jet radial drilling technology.The existing research does not consider the influence of the front-end structural parameters on the jet dynamic performance.The front-end structural model of the multi-hole bit was constructed.Based on FLUENT numerical simulation software,the rock-breaking performance parameters of water jet such as jet velocity,jet pressure and turbulence intensity were analyzed.By controlling a single variable,the influence of structural parameters such as nozzle aspect ratio and nozzle arrangement tightness on the jet dynamic characteristics of the radial water jet bit was studied,and the structural parameters of the front-end of the multi-hole bit were optimized.The results show that the maximum jet pressure formed by the central nozzle bit is larger,up to 2.3 times that of the non-central nozzle bit,which is more conducive to rock-breaking and ensures the regular shape of the rock-breaking borehole.The jet effect difference between the central nozzle and the lateral nozzle of the bit with the circular arc flow channel is the smallest,the jet pressure is more balanced,and the jet performance is better.The central nozzle is almost not affected by the arrangement radius,and the preferred range of the lateral nozzle arrangement radius is 3.5-4.5 mm.When the arrangement radius is 3.5 mm,the jet energy of the bit is more concentrated,and the jet velocity is the largest when the arrangement radius is 4.0 mm.The jet is relatively stable when the aspect ratio of the central nozzle is 4.0.The turbulence intensity is less than 23％in the range of 2-5 mm from the outlet of the central nozzle.When the aspect ratio of the lateral nozzle is 4.5,the jet constant velocity core is the longest,the jet velocity is relatively large,and the turbulence intensity is the smallest.
Water jet radial wellMulti-hole jet bitBorehole parametersStructural optimizationNumerical simulation
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