Production Data Optimization of a Two-phase Flow Prediction Model for Shale Gas Cage Type Throttle Valve
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.
downhole throttling techniquecage type throttle valveequivalent nozzle modelmultivariate data fitting
万方数据
维普
