Performance Optimization Built-in Drill Bit Pulse Impactor Based on Gaussian Process Regression Model
摘要
This study established a simulation model of a built-in drill bit pulse impactor using FLUENT numerical simulation software, investigating the influence of various factors on parameters such as the frequency and pressure drop of the built-in drill bit pulse impactor. The research revealed that by employing the response surface method to optimize key parameters of the built-in drill bit pulse impactor, and validating the accuracy of the regression prediction model through regression analysis and curve fitting, the optimal parameter combination was predicted to be: flow rate of 27 L/s, flow channel height of 30 mm, and flow channel angle of 25°. In indoor experiments, the built-in drill bit pulse impactor achieved a vibration frequency of 9.5 Hz, with an average pressure drop of 3.518 MPa. The error compared to the theoretical model was 3.2%, and the pressure drop consumption error was 3.3%, meeting design requirements. Through long-term testing, the effectiveness of structural optimization was confirmed. This study provides a theoretical foundation and experimental verification for the performance optimization of a built-in drill bit pulse impactor, offering valuable insights for further research in the petroleum drilling industry.