Determination of Oil-Well Equipment Parameters under Conditions of Information Uncertainty

This article presents a method for determining the parameters of oil-producing enterprise equipment under conditions of information uncertainty based on cluster analysis using the k-means method. Cluster analysis is performed based on identifying internal structures and patterns based on the data of installed electrical equipment. Proceeding form this, the most probable values of insufficient equipment parameters are selected. Based on the results of cluster analysis, an algorithm for determining the parameters of electrical and electromechanical equipment of electric centrifugal pump units is developed with allowance for the factors that affect the key parameter of unknown equipment. The developed method will allow indirectly assessing the energy efficiency in any operating mode of equipment in oil-lifting sites.