ASSESSMENT OF CONTROL STATION RELIABILITY TO REDUCE OPERATING COSTS

Authors

 

Safin A.R. – Candidate of Technical Sciences, Associate Professor of the Department of Power Supply industrial enterprises (EPP), Kazan State Energy University (KSPEU), Kazan,

Republic of Tatarstan, Russia, sarkazan@bk.ru

Gibadullin R.R.Candidate of Technical Sciences, Associate Professor of the Department ofPower Supply industrial enterprises (EPP), Kazan State Energy University (KSPEU), Kazan,

Republic of Tatarstan, Russia, sarkazan@bk.ru

Petrov T.I. – Assistant of the Department of Power Supply of Industrial Enterprises(EPP), Kazan State Power Engineering University (KSPEU), Kazan, Republic of Tatarstan,

Russia, tobac15@mail.ru

 

Annotation

 

 The article discusses the use of intelligent control stations for sucker-rod pumping units based on highly efficient Russian synchronous valve motors to optimize oil production. For the study, the control station was divided into 13 main blocks, for each of which the load factors, operating factors and values ​​of the operational failure rate were calculated. Based on these calculations, it was determined that the MTBF is the probability of failure-free operation and the gamma percentage MTBF for the entire control station, the values of which do not exceed the permissible standards. It was revealed that the control station in terms of reliability indicators correspond to the normative parameters. This testifies to the ability of the control station to perform its functions, to ensure operational performance in the specified time intervals. The authors concluded that the proposed technical solution is promising and that it can be applied in various areas of the fuel and energy and industrial complex through the use of adaptive electric drive control systems. These stations can be used to optimize the technological process, in cases where permanent magnet synchronous motors are used.

 

Keywords

control stations, reduced operating costs, optimization of oil production, pumping units, reliability of station elements

 

References

 

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Publication date

2023-10-27