T.A. ALIEV, A.H. RZAYEV, G.A. GULUYEV, T.A. ALIZADA, N.E. RZAYEVA
ROBUST NOISE TECHNOLOGY AND SYSTEM FOR OIL WELL SRPU DIAGNOSTICS AND MANAGEMENT


We have analysed noise-induced difficulties in the diagnostics of sucker rod pumping units (SRPUs) related to the peculiarities of their field operation. We have demonstrated that the existing diagnostic methods based on the interpretation of dynamometer cards built from signals received from force and stroke sensors do not allow diagnostic and management problems to be solved in real time. A technology is therefore proposed for determining robust normalized correlation functions, which are used to form the combinations of informative attributes that correspond to the possible emergency states of SRPU. The identification of those states is duplicated by determining and forming the combinations that correspond to the noise characteristics of the force signal, which enhances the reliability of the results. The simplicity of the realization of the processing algorithms makes it possible to solve the problem of force signal identification by means of inexpensive controllers in real-time mode. The application of the technology to more than 100 real objects has demonstrated that the profitability of oil wells increases significantly due to energy savings and an increase in the overhaul period.

Keywords: noise technology, dynamometer card, sucker rod pumping, oil well, noise variance, cross-correlation function
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