Real-time Intelligent Diagnosis And Optimization Of The Surface Drived Progressing Cavity Pumping System

Surface drived progressing cavity pumping(PCP)system has become one of the most widely used artificial lift methods in oil and gas exploitation.With the continuous exploitation of oil fields,the shortcomings of screw pumping system have gradually exposed for its low degree of control automation.How to diagnose the working conditions of screw-pump-well intelligently in real time and improve the level of the design and management of oil production system and has become a hot issue in filed production.This paper established a dynamic liquid level prediction model based on electrical parameters on the basis of the screening of authenticity of production data.The average prediction error of 11 production wells is as low as 12.27%.Based on the comprehensive analysis of the type of existing operating faults of surface drived PCP wells,the eigenvalues were obtained through the research of current curves under typical working conditions.Specific chromatograms of current and power curves are built and based on which the diagnosis method of pump working conditions based on electric parameters is established.The diagnostic accuracy is 83.33%according to calculation analysis carried on 12 producing wells.An optimization method of production parameters based on real-time data is established utilizing nodal system analysis,which achieve to develop the optimization schemes in terms of multiple technique targets including production rate and system efficiency.Through the optimization design and analysis of 4 well-times in field production,it can be observed that under a constant production rate,the system efficiency of the screw-pump-well was increased by 19.92% in average after optimization,which meets the energy-saving requirement of actual production.During this research,a comprehensive economic and technical decision system for PCP wells is established,achieving the goal of low-cost,high-output.As a conclusion,the findings of thisresearch can provide theatrical and technical supports for the production adjustments,real-time optimization and intelligent management of surface drived progressing cavity pumping system.