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工程设计学报
Chinese Journal of Engineering Design  2006, Vol. 13 Issue (4): 260-264    DOI:
    
Flow resistance analysis and optimization of slotted screen liner with compound cavity
 ZHANG  Jian-Qiao, LIU  Yong-Hong, LIU  Chun-Yang, WEI  Xin-Fang
College of Mechanical and Electronic Engineering， University of Petroleum, Dongying 257061, China
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Abstract  Flow resistance when crude oil flows through screen liner is a key factor for designing new slotted screen liner with compound cavity. Through accurate computation of such resistance, a large number of relation data between screen liner parameters and flow resistance are obtained. By applying BP neural network, forecast model of flow resistance is built up. Based on this model, Genetic Algorithm is utilized to comprehensively optimize parameters of screen liner. Experiment data shows that this model can fulfill the engineering requirements. Field application indicates that screen liner, designed by this model, has small flow resistance, high intension, long longevity and wide market prospect.

Key words： sand control      compound cavity      screen liner      BP neural network     
Published: 28 August 2006
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ZHANG Jian-Qiao
LIU Yong-Hong
LIU Chun-Yang
WEI Xin-Fang
Cite this article:

ZHANG Jian-Qiao, LIU Yong-Hong, LIU Chun-Yang, WEI Xin-Fang. Flow resistance analysis and optimization of slotted screen liner with compound cavity. Chinese Journal of Engineering Design, 2006, 13(4): 260-264.

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https://www.zjujournals.com/gcsjxb/     OR     https://www.zjujournals.com/gcsjxb/Y2006/V13/I4/260


复合缝腔割缝筛管的流阻分析及优化设计

原油流经筛管的流动阻力是设计新型复合缝腔割缝筛管的主要考虑因素之一。通过对流经复合缝腔割缝筛管原油流动阻力的精细计算，得到了大量的筛管参数与流阻的关系数据，利用BP神经网络技术，建立了筛管流阻预测模型。基于此预测模型，采用遗传算法对筛管多个参数进行了综合优化。实验实测数据表明，筛管流阻预测模型的计算结果符合工程要求。油田现场应用表明，通过该方法设计的复合缝腔割缝筛管流阻小、强度高、使用寿命长，市场前景广阔。

关键词： 防砂,  复合缝腔,  割缝筛管,  BP神经网络 
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