A new approach of quantifying the technical condition of rod units with the solution of inverse dynamic problems by multidimensional optimization methods

UDK: 622.276.53
DOI: 10.24887/0028-2448-2019-7-118-122
Key words: sucker-rod pumping unit, dynamogram, diagnostics, multidimensional optimization, intake pressure, complicating factors, gas impact, high landing of the plunger
Authors: Bakhtizin R.N., Urazakov K.R., Timashev E.O., Belov A.E.

A significant number of the largest oil fields in Russia are in the final stage of development, which is characterized by decrease in production volumes and increase in the share of complicated well stock. One of the most common ways to operate small-debit wells is sucker-rod pump units. In some cases the operation of rod units in complicated operating conditions is accompanied by reduction in inter-repair period of operation, increase in energy and economic unit costs during oil production. In these conditions, one of the most urgent tasks is reaching profitable development of wells through timely diagnosing the technical and working conditions of pumping equipment.

The aim of the study is to develop a new approach of diagnosing the condition of sucker-rod pump units on dynamogram. It is based on solving the reverse problems of the dynamics of the rod units by multidimensional optimization methods. The direct problem solution includes modeling the rod unit on the specified technological and geological and technical parameters and building the appropriate theoretical dynamogram. The inverse problem means defining the desired parameters of the model with taking into account the actual dynamogram of the rod unit. A method and an appropriate algorithm for diagnosing the condition of sucker-rod pumping units on dynamogram have been developed based on the Levenberg – Marquardt method for multidimensional optimization. The method includes quantifying the total values and parameters that characterize technical and working conditions of the rod unit, as well as complications and malfunctions that occur during its operation. There are examples of solving quantitative diagnostics tasks based on the developed algorithm by analyzing the configuration of dynamograms and constructing targeted functions under different operation conditions of pumping equipment (i.e. normal operation, high gas content at the pump suction, high landing of the plunger in the cylinder).


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