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JOURNALS // Program Systems: Theory and Applications // Archive

Program Systems: Theory and Applications, 2022 Volume 13, Issue 3, Pages 165–177 (Mi ps400)

Artificial Intelligence, Intelligent Systems, Neural Networks

Calculation of interrelated thermal processes in a submersible electric motor, rocks and water-gas-oil flow in a producing well

V. M. Konyukhova, I. V. Konyuhovb, A. R. Ganievaa

a Kazan Federal University, Kazan, Russia
b Innopolis University

Abstract: This paper is devoted to the study of interrelated thermal processes in a submersible electric motor of a pumping unit located in an oil-producing well and flowed around by a water-oil-gas reservoir mixture, taking into account the heat exchange of the flow with the rocks surrounding the well. To describe these processes, mathematical and numerical models are developed. The numerical model and algorithms are implemented in a software that allows to study temperature fields and various thermal effects using computational experiments with simultaneous visualization of the results of computations. It is shown, in particular, that the transient thermal processes in the system “motor— three-phase flow – rocks”, when the motor is turned off due to its heating to the maximum permissible temperature depend on the physical and geometrical characteristics of each element of the system and are characterized by a non-trivial temperature profiles in rocks. Calculated estimates of the duration (on the order of tens of minutes) of the cooling stage of the motor after it is turned off and its heating stage when it is turned on again correspond to the real times of these processes in producing oil wells.

Key words and phrases: mathematical modeling, finite-difference method, computer simulation, thermal processes, heat exchange, oil-gas-water mixture, oil-producing well, surrounding rocks, submersible pumping unit, electric motor, computational experiments.

UDC: 519.876.5:532.54

MSC: Primary 76M10; Secondary 80M15, 86-10

Received: 18.06.2022
Accepted: 28.09.2022

DOI: 10.25209/2079-3316-2022-13-3-165-177


 English version:
, 2022, 13:3, 179–191


© Steklov Math. Inst. of RAS, 2024