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高含蜡油井射流泵举升参数优化设计 被引量:1

Optimized Design of Jet Pump Lifting Parameters in High Wax Content Oil Wells
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摘要 针对K油田生产过程中的井筒结蜡问题,试验分析了射流泵举升防蜡机理;根据热能守恒定律,建立了射流泵井井筒流体温度场计算模型;运用Fluent软件建立了射流泵模型,模拟流体过泵前后的温度及压力变化规律;基于Levenberg-Marquardt最优化算法,回归了泵出口处混合产出液温度与注入动力液参数、地层产出液参数之间的关系式,以此为边界条件求解射流泵井筒流体温度模型;以防蜡为优化目标,敏感性分析了不同注入动力液量和温度、下泵深度对混合产出液温度的影响。结果表明,随着注入动力液量和温度、下泵深度的增加,混合产出液温度逐渐升高。最后以K12井为例,论述了K油田射流泵举升参数优化防蜡工艺设计方法。该方法对K油田射流泵举升参数优化设计具有重要的理论和应用价值。 In view of wax deposition during production in K Oilfield,wax prevention mechanism of jet pump lift technology was analyzed by laboratory experiment.According to the law of the conservation of heat energy the temperature calculation model of wellbore fluid in jet pumping wells is established.A jet pump model is established by Fluent for simulating the temperature and pressure variation regularity of fluid both before and after flowing-through the pump.Based on Levenberg-Marquardt,regression formulae between mixture output and volume and temperature of power liquid and formation liquid is made.According to the boundary conditions,temperature model of wellbore fluid in jet pump well is solved.With the purpose of wax inhibition,the influences of volume and temperature of power liquid and pump depth on the temperature of mixed production liquid are analyzed.The study shows that with the increase of temperature and volume of power liquid and pump depth,the temperature of mixed production liquid increases gradually.By taking Well K12 as example,optimization design of jet pump lifting parameters for wax prevention is described.This study has important theoretical and application values for the optimization of jet pump lifting parameters.
作者 李昂 杨万有 郑春峰 詹敏 Li Ang;Yang Wanyou;Zheng Chunfeng;Zhan Min(CNOOC EnerTech-Drilling&Production Co.,Tianjin 300452)
出处 《长江大学学报(自然科学版)》 CAS 2019年第11期41-46,59,M0004,共8页 Journal of Yangtze University(Natural Science Edition)
关键词 高含蜡井 井筒结蜡 射流泵 举升参数 温度模型 优化设计 敏感性分析 high wax content oil well wellbore waxing jet pump lifting parameter temperature model optimized design sensitivity analysis
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