袁若飞,吴泽兵,张文溪. 可伸缩仿生聚晶金刚石复合片钻头[J]. 石油钻采工艺,2023,45(3):296-306. DOI: 10.13639/j.odpt.202303056
引用本文: 袁若飞,吴泽兵,张文溪. 可伸缩仿生聚晶金刚石复合片钻头[J]. 石油钻采工艺,2023,45(3):296-306. DOI: 10.13639/j.odpt.202303056
YUAN Ruofei, WU Zebing, ZHANG Wenxi. Scalable biomimetic polycrystalline diamond compact bit[J]. Oil Drilling & Production Technology, 2023, 45(3): 296-306. DOI: 10.13639/j.odpt.202303056
Citation: YUAN Ruofei, WU Zebing, ZHANG Wenxi. Scalable biomimetic polycrystalline diamond compact bit[J]. Oil Drilling & Production Technology, 2023, 45(3): 296-306. DOI: 10.13639/j.odpt.202303056

可伸缩仿生聚晶金刚石复合片钻头

Scalable biomimetic polycrystalline diamond compact bit

  • 摘要: 针对现有PDC钻头不易吃入硬岩、出现黏滞滑动等问题,基于仿生相似原理,以鼹鼠爪趾和鲨鱼牙齿为仿生原型,结合双级钻头和复合钻头的优势,设计出一种可伸缩仿生PDC钻头。使用数值模拟方法,对比了仿生PDC齿与普通齿的破岩切削力与机械比能、可伸缩仿生PDC钻头和普通PDC钻头的进尺和反扭距;为便于后续伸缩结构设计,采用Box-Behnken法对钻压、转速、伸缩长度及破岩量和扭矩参数进行了多因素有限元仿真试验;建立了参数之间的二次回归数学模型,并分析了上述参数之间的关系。结果表明,仿生PDC齿相较普通齿更容易达到岩石的破碎极限,在破岩过程中的机械比能和切削力分别减少约19%和12.7%,有效提升了破岩效率;可伸缩仿生PDC钻头相比普通PDC钻头,在破岩过程中的进尺增加1.25倍,钻速提升21%,受到岩石的反扭矩减少33%,能有效缓解钻头产生黏滞滑动的问题。通过数值模拟对所得到的二次回归模型预测结果进行验证,发现两者之间的平均误差不超过6%,研究结果为后续现场试验及伸缩结构的优化设计提供理论支撑。

     

    Abstract: In response to the challenges of existing PDC (Polycrystalline Diamond Compact) drill bits, such as difficulty in drilling hard rocks and encountering sticking and sliding issues, a novel approach is taken based on biomimicry principles. Inspired by the digging mechanisms of mole claws and the cutting efficiency of shark teeth, a scalable biomimetic PDC drill bit was designed by combining the advantages of dual-stage and composite drill bits. By using numerical simulation methods, a comparative analysis was performed between biomimetic PDC teeth and conventional teeth in terms of rock cutting forces and mechanical specific energy, as well as an analysis on drilling progress and reaction torque between the scalable biomimetic PDC drill bit and conventional PDC drill bit. To facilitate subsequent design of the scalable structure, by using Box-Behnken method, a multi-factor finite element simulation experiment was performed on parameters such as drilling pressure, rotational speed, scalable length, rock removal volume, and torque. And quadratic regression mathematical models were established to capture the relationships among these parameters. The results show that biomimetic PDC teeth achieve higher efficiency in rock fragmentation compared to conventional teeth, with reductions of approximately 19% in mechanical specific energy and 12.7% in cutting forces during the rock-breaking process. The scalable biomimetic PDC drill bit outperforms the conventional PDC drill bit, showing a 1.25-time increase in drilling progress, 21% improvement in drilling speed, and a 33% reduction in reaction torque from the rock, effectively mitigating the sticking and sliding problems. The accuracy of the obtained quadratic regression models was validated through numerical simulations, revealing an average error of less than 6%. These research findings can provide a theoretical support for subsequent field experiments and optimization designs of scalable structure.

     

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