Aiming at the problems of large data fitting workload and poor accuracy in the data analysis of the two-phase flow model of the cage type throttle valve,this paper researches on the two-phase flow prediction model of the cage type throttle valve driven by on-site data.The critical state of a gas well is determined by the critical pressure ratio of the gas-liquid two-phase nozzle flow.Based on production data from actual operating conditions such as wellhead oil pressure,casing pressure,and throttle valve opening,a multivariate data fitting method is proposed and a dedicated calculation software is developed,with which the equivalent nozzle diameter can be calculated quickly.Additionally,an optimization model for the gas-liquid two-phase flow of a cage type throttle valve is established,with a prediction accuracy of over 85%.By analyzing the fitting data of the critical state throttle valve and the sub critical state throttle valve,the gas-liquid two-phase flow law of the cage type throttle valve can be obtained.The research results of this paper play a key role in improving the production and development effectiveness of shale gas wells,improving the development level of gas fields,and enhancing their economic and social benefits.
关键词
井下节流技术/笼套式节流阀/等效油嘴模型/多元数据拟合
Key words
downhole throttling technique/cage type throttle valve/equivalent nozzle model/multivariate data fitting
维普
万方数据