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“Smart Well” Concept in Oil Production

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Electromechanics and Robotics

Abstract

Smart well technology is widely implemented in oil production at present. There are about 2 million oil wells around the world, and artificial lift is used for almost 1 million of them. Sucker rod pumps are used in over 750,000 artificial lift wells. A modern well is equipped with a variety of process parameter sensors. These are sensors for pressure, temperature, flow, level, current, voltage, and power. The well controller receives information from sensors. The controller performs preliminary information processing and regulates the operating mode of the electric motor. The article discusses sensors installed on various types of borehole pumping units: electric submersible pumping units, sucker rod pumping units, and progressive cavitation pumping units. The structures of a smart well and a smart field are given. Examples of measurements of electrical parameters at wells are given. To control the operation of the pump, electric drive, current, voltage, active power, reactive capacity, and power factor are measured.

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References

  1. Gibbs, S.G.: Computing gearbox torque and motor loading for beam pumping units with consideration of inertia effects. J. Petrol. Technol. 27(09), 1–153 (1975)

    Article  Google Scholar 

  2. Gibbs, S.G.: A general method for predicting rod pumping system performance. In: SPE Annual Fall Technical Conference and Exhibition. Society of Petroleum Engineers (1977)

    Google Scholar 

  3. Aliev, T., Guluyev, G., Rzayev, A., Pashayev, F., Gadimov, R., Yusifov, I., Sattarov, I.: Noise technology and system for determining of flow rate of oil wells. In: 2012 IV International Conference “Problems of Cybernetics and Informatics” (PCI), pp. 1–3 (2012)

    Google Scholar 

  4. Zyuzev, A.M., Bubnov, M.V., Mudrov, M.V.: Sucker-rod pump unit electric drive simulator. In: 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), pp. 1–4 (2016)

    Google Scholar 

  5. Zyuzev, A.M., Bubnov, M.V.: Model for sucker-rod pumping unit operating modes analysis based on SimMechanics library. J. Phys. Conf. Ser. 944(1), 012130 (2018)

    Google Scholar 

  6. Blyuk, V., Ershov, M., Komkov, A.: Models and algorithms for quick calculation of electromechanical transition processes of multi-machine electrotechnical systems. In: 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA), pp. 686–689 (2019)

    Google Scholar 

  7. Vázquez, M., Suarez, A., Aponte, H., Ocanto, L., Fernandes, J.: Global optimization of oil production systems, a unified operational view. In: SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers (2001)

    Google Scholar 

  8. Nederlof, E., Stephanie, H.: Real-time production optimization for a mature onshore field in Austria. In: SPE EUROPEC/EAGE Annual Conference and Exhibition. Society of Petroleum Engineers (2010)

    Google Scholar 

  9. Teves, R., et al.: Production optimization of deep commingled multizone wells with high gas content using ESP and digital solutions. In: SPE Latin American and Caribbean Petroleum Engineering Conference. Society of Petroleum Engineers (2020)

    Google Scholar 

  10. Ministry of Energy of the Russian Federation. https://minenergo.gov.ru/en. Last accessed 21 Jan 2021

  11. Ministry of Natural Resources and Environment of the Russian. https://www.mnr.gov.ru/en/. Last accessed 22 Jan 2021

  12. Khakimyanov, M.I., Shafikov, I.N., Khusainov, F.F.: Electric submersible pumps in oil production and their efficiency analysis. In: Proceedings of the 4th International Conference on Applied Innovations in IT, vol. IV. Bibliothek, Hochschule Anhalt (2018)

    Google Scholar 

  13. Glazyrin, A.S., Kladiev, S.N., Afanasiev, K.S., Timoshkin, V.V., Slepnev, I.G., Polishchuk, V.I., Halasz, S.: Design of full order observer with real time monitoring of load torque for submersible induction motors. Bull. Tomsk Polytech. Univ. Geo Assets Eng. 329(2), 118–126 (2018)

    Google Scholar 

  14. Zhang, H., Yu, J., Jiang, Q., Wang, L., Xu, D.: Research on intelligent power supply control based on sensor-less temperature identification of electric submersible motor. In: 2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia), pp. 2802–2807 (2015)

    Google Scholar 

  15. Bolovin, E.V., Glazyrin, A.S.: Method for identifying parameters of submersible induction motors of electrical submersible pump units for oil production. Bull. Tomsk Polytech. Univ Geo Assets Eng. 328(1), 123–131 (2017)

    Google Scholar 

  16. Khakimyanov, M.I., Shafikov, I.N., Khusainov, F.F.: Control of sucker rod pumps energy consumption. In: 2015 International Siberian Conference on Control and Communications (SIBCON), pp. 1–4 (2015)

    Google Scholar 

  17. Langbauer, C., Diengsleder-Lambauer, K., Lieschnegg, M.: Downhole dynamometer sensors for sucker rod pumps. IEEE Sens. J. (2020)

    Google Scholar 

  18. Tubel, P.S., Mullins II, A.A., Jones, K.R.: Method and apparatus for the remote control and monitoring of production wells, U.S. Patent 6, 176, 312 (2001)

    Google Scholar 

  19. Gamboa, J., Olivet, A., Iglesias, J.C., Gonzalez, P.: Understanding the performance of a progressive cavity pump with metallic stator. In: Proceedings of the 20th International Pump Users Symposium, Texas A&M University, Turbomachinery Laboratories (2003)

    Google Scholar 

  20. Gamboa, J., Olivet, A., Sorelys, E.: New approach for modeling progressive cavity pumps performance. In: SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers (2003)

    Google Scholar 

  21. Lastra, R.: Electrical submersible pump digital twin, the missing link for successful condition monitoring and failure prediction. In: Abu Dhabi International Petroleum Exhibition & Conference. Society of Petroleum Engineers (2019)

    Google Scholar 

  22. Chen, Y., Patil, A., Chen, Y., Bai, C., Wang, Y., Morrison, G.: Numerical study on the first stage head degradation in an electrical submersible pump with population balance model. J. Energy Resour. Technol. 141(2) (2019)

    Google Scholar 

  23. Stone, G.C.: Partial discharge diagnostics and electrical equipment insulation condition assessment. IEEE Trans. Dielectr. Electr. Insul. 12(5), 891–904 (2005)

    Article  MathSciNet  Google Scholar 

  24. Montanari, G.C., Hebner, R., Morshuis, P., Seri, P.: An approach to insulation condition monitoring and life assessment in emerging electrical environments. IEEE Trans. Power Deliv. 34(4), 1357–1364 (2019)

    Article  Google Scholar 

  25. Gao, C.H., Rajeswaran, R.T., Nakagawa, E.Y.: A literature review on smart well technology. In: Production and Operations Symposium. Society of Petroleum Engineers (2007)

    Google Scholar 

  26. Durlofsky, L.J., Aziz, K.: Optimization of smart well control. In: SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference. Society of Petroleum Engineers (2002)

    Google Scholar 

  27. Temizel, C., Canbaz, C.H., Palabiyik, Y., Putra, D., Asena, A., Ranjith, R., Jongkittinarukorn, K.: A comprehensive review of smart/intelligent oilfield technologies and applications in the oil and gas industry. In: SPE Middle East Oil and Gas Show and Conference. Society of Petroleum Engineers (2019)

    Google Scholar 

  28. Redutskiy, Y.: Conceptualization of smart solutions in oil and gas industry. Procedia Comput. Sci. 109, 745–753 (2017)

    Article  Google Scholar 

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Yashin, A., Konev, A., Khakimyanov, M. (2022). “Smart Well” Concept in Oil Production. In: Ronzhin, A., Shishlakov, V. (eds) Electromechanics and Robotics. Smart Innovation, Systems and Technologies, vol 232. Springer, Singapore. https://doi.org/10.1007/978-981-16-2814-6_35

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