«Automation and Informatization of the fuel and energy complex»

Frequency proportional-integral stabilization by auto-control of process limitations for wells with electric submersible pumps

UDC: 622.276:681.5
DOI: 10.33285/2782-604X-2023-8(601)-5-12

Authors:

¹ Industrial University of Tyumen, Tyumen, Russia

Keywords: models, algorithm, complicating factors, proportional-integral (PI) stabilization, standalone mode, limits of functional stability, observer, parametric adjustments

Annotation:

The basis of the discussed autonomous solutions for oil production technologies is formed by theoretical provisions and methods for adaptive systems synthesis that ensure the functional "survivability" of operation processes under conditions of uncertainty. The simplest form of adaptive behavior under conditions of an object parameters drifting is provided by the proportional- integral (PI) regulation. The considered variant of the PI regulator of the target production rate with simultaneous control of functional limitations, implemented on the information resources of wells cluster automation, forms the first (lower) level of the hierarchy of the system of autonomous control of well operation processes. Algorithms of optimal correction of operating modes based on the identification of uncertainty factors are implemented at higher levels of the management hierarchy, including those ones based on the information resources of the production facility. The implementation of such solutions with a distributed structure of management functions is possible according to the standards and technologies of the industrial Internet with data remote storage and transmission. The computational analysis results prove the considered solution consistency and show the complete functionality of the PI system for stabilizing the plan, anticipating pre-emergency shutdowns by switching to the stabilization mode of the functional boundaries for gas and the dynamic level.

Bibliography:

1. Rotach V.Ya. Teoriya avtomaticheskogo upravleniya. – M.: Izdat. dom MEI, 2008. – 394 s.
2. Isakovich R.Ya., Loginov V.I., Popad'ko V.E. Avtomatizatsiya proizvodstvennykh protsessov neftyanoy i gazovoy promyshlennosti. – M.: Nedra, 1983. – 424 s.
3. Solov'ev I.G., Konstantinov I.V., Govorkov D.A. Optimizatsiya parametrov obustroystva i rezhima ekspluatatsii skvazhiny s ETsN v usloviyakh oslozhneniy // Avtomatizatsiya, telemekhanizatsiya i svyaz' v neftyanoy promyshlennosti. – 2019. – № 9(554). – S. 28–35. – DOI: 10.33285/0132-2222-2019-9(554)-28-35
4. "ERA:Dobycha" – integrirovannaya platforma dlya povysheniya effektivnosti ekspluatatsii mekhanizirovannogo fonda skvazhin / A.A. Shushakov, A.V. Bilinchuk, N.M. Pavlechko [i dr.] // Neft. khoz-vo. – 2017. – № 12. – S. 60–63. – DOI: 10.24887/0028-2448-2017-12-60-63
5. Luenberger D.G. Introduction to Dynamic Systems, Theory, Models, and Applications. – New York: John Wiley & Sons, 1979. – 446 p.
6. Shabonas A.R., Gorid'ko K.I. Obzor podkhodov k realizatsii algoritma virtual'nogo raskhodomera na skvazhinakh, oborudovannykh ustanovkami elektrotsentrobezhnogo nasosa // Neftepromyslovoe delo. – 2022. – № 1(637). – S. 33–41. – DOI: 10.33285/0207-2351-2022-1(637)-33-41
7. A Review of Downhole Wireless Technologies and Improvements / B. Bouldin, A. AlShmakhy, A.Kh. Bazuhair [et al.] // Abu Dhabi International Petroleum Exhibition & Conf., Abu Dhabi, UAE, Nov. 15–18. – 2021. – DOI: 10.2118/207466-MS
8. System Engineering Recommendations to Improve Intelligent Completions / R. Nelson, E. Handley, J. Joubran [et al.] // SPE Annual Technical Conf. and Exhibition, Houston, Texas, USA, Oct. 3–5. – 2022. – DOI: 10.2118/209965-MS
9. Downhole Telemetry Systems to Monitor Electric Submersible Pumps Parameters in Oil Well / D.A. De Moura Fonsêca, A.O. Salazar, E.R.L. Villarreal [et al.] // IEEE Access. – 2021. – Vol. 9. – P. 12824–12839. – DOI: 10.1109/ACCESS.2020.3049116
10. Solov'ev I.G., Belashevskiy S.S. Barometricheskaya model' skvazhiny s ETsN vtorogo poryadka // Avtomatizatsiya, telemekhanizatsiya i svyaz' v neftyanoy promyshlennosti. – 2019. – № 11(556). – S. 33–38. – DOI: 10.33285/0132-2222-2019-11(556)-33-38
11. Ilyushin P.Yu., Vyatkin K.A., Kozlov A.V. Razrabotka intellektual'nykh algoritmov upravleniya periferiynym tekhnologicheskim oborudovaniem kusta skvazhin s pomoshch'yu edinoy stantsii upravleniya // Izv. Tomskogo politekhn. un-ta. Inzhiniring georesursov. – 2022. – T. 333, № 10. – S. 59–68. – DOI: 10.18799/24131830/2022/10/3718
12. Spravochnoe rukovodstvo po proektirovaniyu, razrabotke i ekspluatatsii neftyanykh mestorozhdeniy. Dobycha nefti / R.S. Andriasov, I.T. Mishchenko, A.I. Petrov [i dr.]; pod obshch. red. Sh.K. Gimatudinova. – M.: Nedra, 1983. – 455 s.
13. Mishchenko I.T. Raschety pri dobyche nefti i gaza. – M.: Neft' i gaz, 2008. – 296 s.
14. Solov'ev I.G., Konstantinov I.V., Govorkov D.A. Resursno-energeticheskaya effektivnost' obustroystva skvazhin s chastotno-reguliruemoy podachey nasosa // Izv. Tomskogo politekhn. un-ta. Inzhiniring georesursov. – 2021. – T. 332, № 6. – S. 60–72. – DOI: 10.18799/24131830/2021/06/3236
15. Brill Dzh.P., Mukerdzhi Kh. Mnogofaznyy potok v skvazhinakh: per s angl. – M.-Izhevsk: In-t komp'yuter. issled., 2006. – 384 s.
16. Svidetel'stvo o gos. registratsii programmy dlya EVM № 2023662453 Ros. Federatsiya. Tsifrovoy imitator gidrodinamiki skvazhiny s ETsN / D.A. Govorkov, I.G. Solov'ev, O.I. Lapik. – № 2023661090; zayavl. 29.05.2023; opubl. 08.06.2023.
17. Svidetel'stvo o gos. registratsii programmy dlya EVM № 2023614656 Ros. Federatsiya. Nablyudatel' sostoyaniy i PI-regulyator proizvoditel'nosti skvazhiny s ETsN / D.A. Govorkov, I.G. Solov'ev. – № 2023613484; zayavl. 14.02.2023; opubl. 03.03.2023.
18. Assessing Industrial Communication Protocols to Bridge the Gap between Machine Tools and Software Monitoring / E. Tapia, L. Sastoque-Pinilla, U. Lopez-Novoa [et al.] // Sensors. – 2023. – Vol. 23, Issue 12. – P. 5694. – DOI: 10.3390/s23125694