An Intelligent System for Monitoring the Beginning of Malfunctions in Oil Wells

We propose an intelligent correlation system for control and initiation of malfunctions of sucker-rod pumping units (SRPU). It is shown that by memorizing the reference force curve of dynamometer charts of characteristic malfunctions and alternately comparing them with the force curves of the current dynamometer charts by the number of the reference dynamometer chart, at which the estimate of the correlation coefficient takes a maximum value, it is possible to identify the current malfunction of SRPU. Implementation of this technology in oil production with the help of inexpensive technical means allows at the expense of significant reduction of control period and early troubleshooting, as a result of increase of overhaul period, to considerably increase the profitability of oil wells.