Research on Measurement Method Based on Fault Types and Strength Characteristics of Power Diagram
In order to solve the problems of low precision,high cost and complicated process flow of the existing crude oil liquid production measurement methods,it proposes a combined calculation method of oil well production based on the fault types and strong and weak characteristics of power diagram and BP neural network analysis.In this method,the feature vectors are ex-tracted from the ground indicator diagram through the operation of the horse field system,and the adaptive algorithm is inte-grated to identify and distinguish the fault types and strength of the indicator diagram.The mapping relationship between liquid production volume and different fault types and strength was established to replace pump efficiency.The mapping relationship was calculated and BP neural network was established to optimize the relationship,and a production measurement model based on fault types and strength was obtained.The concrete realization of the measurement model is given,and the output and indicator diagram of well50in an operation area of Xinjiang Company in 2020are selected as the data set for calculation and verification.The above model calculation results show that the average relative error and absolute error between the calculated production and the real oil well production are 3.26%and0.5%respectively,which is less than the industry standard of 10%on the whole,satis-fying the maximization of oilfield production benefits.
Calculation of Oil Well ProductionIndicator DiagramFault IdentificationFeature AnalysisBP Neural Network
万方数据
维普
