周思柱,王峰,刘书杰,等. 基于粒子群算法的涡轮钻具叶片优化[J]. 石油钻采工艺,2025,47(2):179-185. DOI: 10.13639/j.odpt.202412032
引用本文: 周思柱,王峰,刘书杰,等. 基于粒子群算法的涡轮钻具叶片优化[J]. 石油钻采工艺,2025,47(2):179-185. DOI: 10.13639/j.odpt.202412032
ZHOU Sizhu, WANG Feng, LIU Shujie, et al. Optimization of turbodrill curved blade based on particle swarm algorithm[J]. Oil Drilling & Production Technology, 2025, 47(2): 179-185. DOI: 10.13639/j.odpt.202412032
Citation: ZHOU Sizhu, WANG Feng, LIU Shujie, et al. Optimization of turbodrill curved blade based on particle swarm algorithm[J]. Oil Drilling & Production Technology, 2025, 47(2): 179-185. DOI: 10.13639/j.odpt.202412032

基于粒子群算法的涡轮钻具叶片优化

Optimization of turbodrill curved blade based on particle swarm algorithm

  • 摘要: 涡轮钻具作为深层钻井的重要动力工具,其扭矩和效率等外输出特性已难以满足超深水钻井复杂工况。为改善涡轮钻具性能,以Ø178 mm涡轮钻具定转子叶片为研究对象,结合三阶贝塞尔曲线和粒子群算法对叶片三维空间造型开展优化,提出了一种新型叶片优化方法。CFD数值模拟显示,优化后弯叶片在最佳工况下扭矩提高0.85 N·m、水力效率达到86.66%,较直叶片高出5.12%。结果表明,优化后弯叶片扭矩提高0.62 N·m,水力效率达到了69.07%,提升了5.18%。研究表明采用所提出的优化方法构建的新型弯曲叶片涡轮扭矩更大、效率更高。对优化后的涡轮水力性能提高的原因进行了分析,分析认为,叶片优化后有助于减少前缘水力损失和二次流,同时还能降低叶片两侧压差。该研究可为涡轮钻具定转子优化设计提供理论依据。

     

    Abstract: Turbodrill is a critical power tool for deep drilling, while this tool face challenges in meeting the torque and efficiency requirements of ultra-deepwater complex drilling conditions. In order to improve the performance of turbodrill, a Ø178 turbodrill stator and rotor blade is focused, a novel blade optimization method was proposed by combining third-order Bessel curve and particle swarm optimization algorithm to optimize the three-dimensional space modeling of the blade. CFD numerical simulation demonstrated that the optimized curved blades achieved a torque increase of 0.85 N·m and a hydraulic efficiency of 86.66% at the optimal working conditions,representing a 5.12% improvement over straight blades. Experimental results confirmed a torque gain of 0.62 N·m and a hydraulic efficiency of 69.07%, representing a 5.18% enhancement. The research demonstrates that the new curved blade turbine constructed by the proposed optimization method has higher torque and efficiency. Analysis of the performance improvement mechanism revealed that the optimized blade geometry reduces leading-edge hydraulic losses and secondary flows while declining the pressure differentials across the blade surfaces. This research provides theoretical guidance for the optimal design of turbodrill stators and rotors.

     

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