赵传伟, 唐明, 李伟, 肖经纬, 马德材, 孙浩玉. 基于遗传算法的计数式全通径压裂滑套优化设计[J]. 石油钻采工艺, 2016, 38(5): 693-699. DOI: 10.13639/j.odpt.2016.05.028
引用本文: 赵传伟, 唐明, 李伟, 肖经纬, 马德材, 孙浩玉. 基于遗传算法的计数式全通径压裂滑套优化设计[J]. 石油钻采工艺, 2016, 38(5): 693-699. DOI: 10.13639/j.odpt.2016.05.028
ZHAO Chuanwei, TANG Ming, LI Wei, XIAO Jingwei, MA Decai, SUN Haoyu. Design optimization based on genetic algorithm for full-sized counter-type fracturing sleeve[J]. Oil Drilling & Production Technology, 2016, 38(5): 693-699. DOI: 10.13639/j.odpt.2016.05.028
Citation: ZHAO Chuanwei, TANG Ming, LI Wei, XIAO Jingwei, MA Decai, SUN Haoyu. Design optimization based on genetic algorithm for full-sized counter-type fracturing sleeve[J]. Oil Drilling & Production Technology, 2016, 38(5): 693-699. DOI: 10.13639/j.odpt.2016.05.028

基于遗传算法的计数式全通径压裂滑套优化设计

Design optimization based on genetic algorithm for full-sized counter-type fracturing sleeve

  • 摘要: 如何合理设计内滑套结构参数,使得内滑套结构强度较高的同时,压裂球推动内滑套运动所需压力较大,是计数式全通径压裂滑套设计的难点之一。为节约设计时间与成本,采用Plackett-Burman 设计筛选影响压裂球推动内滑套运动所需压力的显著因子,利用响应曲面法建立显著因子与多响应之间的回归方程并判定方程的有效性,将多目标优化问题转化为单目标优化问题并确定合适的目标函数,基于遗传算法寻找最优结构参数。基于Ls-dyna 模拟压裂球推动内滑套运动过程,结果表明,优化后压裂球推动内滑套运动所需压力由4.8 MPa 提高到7.2 MPa,运动过程中的最大应力由992 MPa 增大到1 036 MPa, 但仍小于材料的许用应力。进行了内滑套样机室内模拟实验,优化后压裂球推动内滑套运动所需压力由5.1 MPa 提高到了7.6 MPa,表明Plackett-Burman 设计、响应曲面法及遗传算法相结合用于优化内滑套结构参数是有效的。

     

    Abstract: Proper design of structural parameters of internal sleeve to promote structural strength and higher pressure required for the fracturing ball to drive the internal sleeve is one of key factors in design of full-sized counter-type fracturing sleeve. To minimize time and cost required for design, Plackett-Burman design is used to identify major factors that may affect the required pressure for the fracturing ball to drive the internal sleeve. In addition, the response surface method was used to construct the regression equation among outstanding factors and multiple responses and to determine the validity of the equation obtained. In this way, optimization with multiple targets can be simplified into optimization of singular target. In addition, desirable objective function can be established and optimal structural parameters can be identified on the base of genetic algorithm. Ls-dyna simulation processes were followed to simulate the driving of the fracturing ball on internal sleeve. Research results show that upon completion of optimization processes, pressure required for the fracturing ball to drive the internal sleeve has increased from 4.8 MPa to 7.2 MPa, while the maximum stress during the course increased from 992 MPa to 1 036 MPa, which is still less than allowable stress of relevant materials. Indoor simulation tests have been performed on the prototype of the internal sleeve. Upon completion of optimization, the pressure required for the fracturing ball to drive the internal sleeve increased from 5.1 MPa to 7.6 MPa. It can be seen that combination of Plackett-Burman design, the response surface method and the genetic algorithm can effective optimize structural parameters of the internal sleeve.

     

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