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作 者:常亮[1] 杨晨宇 苏筱斌 戴晓宇 徐强[1] 郭烈锦[1] CHANG Liang;YANG Chenyu;SU Xiaobin;DAI Xiaoyu;XU Qiang;GUO Liejin(State Key Laboratory of Multiphase Flow in Power Engineering,Xi’an Jiaotong University,Xi’an 710049,P.R.China)
机构地区:[1]西安交通大学动力工程多相流国家重点实验室,西安710049
出 处:《应用数学和力学》2023年第6期619-628,共10页Applied Mathematics and Mechanics
基 金:国家自然科学基金项目(51888103)。
摘 要:准确预测多相混输泵的气液增压性能对油气生产的经济性和安全性至关重要.当前气液增压预测模型与方法存在参数范围窄、增压级数低的局限.该文搭建了工业参数级气液混输增压实验平台,实验获得了25级离心式混输泵的气液增压特性.提出了适用于高增压级数、变转速条件的混输泵气液增压性能预测方法.首先,构建了定转速、低增压级数混输泵气液增压人工神经网络;其次,采用相似规律,将变转速条件气液增压转换至设计转速条件;最后,基于等温压缩假设进行级间流动参数更新和高增压级数混输泵性能预测.不同级数(3~25级)和转速条件(2500~3500 r·min^(-1))混输泵气液增压预测的相对误差低于15%.该方法能够应用于其他类型多相混输泵的增压预测,为指导油气工业现场确定混输泵增压级数和生产评估提供有效方法.It is very important to accurately predict the gas⁃liquid pressurization performance of multiphase pumps for the economy and safety of oil⁃gas production.Existent prediction models and methods are limited by narrow parameter ranges and low pump stages.A gas⁃liquid experimental platform at the industrial level was built,and the gas⁃liquid pressurization performances of a 25⁃stage centrifugal multiphase pump were obtained.A prediction method for gas⁃liquid pressurization performances was proposed for multiphase pumps with high sta⁃ges at variable rotational speeds.Firstly,the artificial neural network of gas⁃liquid boosting pressure in the pump with low stages at a constant rotational speed,was constructed.Then,the boosting pressures at variable rota⁃tional speeds were converted to the designed condition by the 2⁃phase similarity law.Finally,based on the iso⁃thermal compression hypothesis,the inter⁃stage flow parameters were updated and the boosting pressures in pumps with high stages were acquired.The relative errors of prediction results of gas⁃liquid pressurization were less than 15%in pumps with different stage numbers(3~25 stages)and rotational speeds(2500~3500 r·min^(-1)).The proposed method can be applied to other types of multiphase pumps,to determine the stage numbers of multiphase pumps and make production evaluation in oil⁃gas industry.
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