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Optimization analysis of structure parameters of downhole vortex tool based on CFD and orthogonal studies

机译:基于CFD和正交研究的井下涡旋工具结构参数优化分析

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Liquid loading is one of the most serious problems in the gas wells with low pressure and production. It limits the production severely, due to the high cost of other deliquification technologies. The downhole vortex tool is an economic and efficient way to alleviate the liquid loading, but the optimal efficiency conditions still not clearly. In this paper, gas-liquid two-phase flow passing through a downhole vortex tool is studied by numerical simulation to optimize the structural parameters (Helix angle, helix height, helix width) and operating envelope (superficial gas velocity and superficial gas velocity) of the vortex tool. The Euler-Euler approach and Reynolds stress turbulence model are used to calculate the vortex field. The experimental results show that the pressure gradient downstream of vortex tool agrees well with the numerical results. An orthogonal design method was used to evaluate the performance of the vortex tool with different structural and operating parameters. The range analysis results show that the optimal combination is A(2)B(2)C(3)D(5)E(5) (alpha = 45 degrees, H = 6 mm, h = 15 mm, v(sg) = 18 m/s, v(sl) = 0.1 m/s), with the impact sensitively intensity to evaluate index of each factor as follows: A > E > B > D > C. The effective operating envelope of vortex tool is when superficial gas velocity range from 9 m/s to 16 m/s. The pressure gradient downstream of optimal tool decreased by about 20.3% compared to the original tool at the maximum value point.
机译:液体负荷是气井中最严重的问题之一,具有低压和生产。由于其他饮水技术的高成本,它会严重限制生产。井下涡旋工具是一种缓解液体载荷的经济有效的方法,但最佳效率条件仍然没有清楚。本文通过数值模拟研究了通过井下涡流工具的气液两相流,以优化结构参数(螺旋角,螺旋高度,螺旋宽度)和操作包络(浅表气体速度和浅表气体速度)。涡旋工具。欧拉 - 欧拉方法和雷诺应力湍流模型用于计算涡旋场。实验结果表明,涡旋工具下游的压力梯度与数值效果吻合良好。使用正交设计方法来评估具有不同结构和操作参数的涡旋工具的性能。范围分析结果表明,最佳组合是(2)B(2)C(3)D(5)e(5)(α= 45度,H = 6mm,H = 15mm,V(SG) = 18 m / s,v(S1)= 0.1米),影响敏感强度,以评估每个系数的指数如下:A> E> B> D> C.涡旋工具的有效操作包络是何时浅表气体速度范围为9米/秒至16米/秒。与最大值点的原始工具相比,最佳工具下游的压力梯度降低约20.3%。

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