Vol. 337 No. 2 (2026)
DOI https://doi.org/10.18799/24131830/2026/2/5160
Factor models of resource-energy efficiency of small electric centrifugal pump sizes in optimization of developing the mode and parameters of continuous low-injection well stock
Relevance. Necessity to take into account the factors of resource and energy efficiency of small sizes when determining the parameters of continuous well arrangement. The models of efficiency reduction for small sizes and operating potential supplement the previously published factor model of the dynamics of operational resource development under steady-state operation conditions. Introduced factors of non-productive resource costs associated with deviation from the nominal capacity, deepening of the pump and overheating of the power unit. Aim. To determine optimal parameters of arrangement for structurally similar, but differing in productivity potential, wells, including low-yield (up to 50 m3/day) and high-yield (from 80 m3/day) wells, according to the criterion of reduced daily profit. Methods. Material balance, hydrostatics, numerical modeling and computational analysis. Results and conclusions. Search of optimal parameters of arrangement at a fixed level of pump suspension for wells with different productivity potentials at full life cycle was carried out. The authors calculated the main indicators of resource and energy efficiency, such as, relative fraction of reduction in workover potential and present fraction of daily profit. The paper shows the importance of taking into account the introduced destructions on the coefficient of efficiency and the potential of time-on-failure. Conclusions. The use of low-powered electric centrifugal pumps for wells of low-debit fund is complicated by the reduced resource-energy characteristics. At estimation of efficiency of the chosen parameters of arrangement it is necessary to take into account lowering of efficiency coefficient for small standard sizes and decrease of runtime potential at increase of number of stages and sections in pump assembly. Under the assumed assumptions, the optimal stage size, in terms of resource and energy efficiency, usually exceeds the well productivity potential by some fraction.
Keywords:
optimization, arrangement, electric centrifugal pump, perfomance rating, head, model, perfomance potential, run potential, reduced fraction of daily profit
References:
1. Kamaletdinov R.S. Low-yield well stock – new challenges, new solutions. Business magazine Neftegaz.RU, 2024, vol. 12, pp. 90–93. (In Russ.)
2. Zakenov S.T., Nurshakhanova L.K. Factors in the formation of low-yield well stock. Oil and Gas Technologies, 2024, vol. 4, pp. 42–44. (In Russ.)
3. Liu Yang. The mechanism of hydraulic fracturing assisted oil displacement to enhance oil recovery in low and medium permeability reservoirs. Petroleum Exploration and Development, 2022, vol. 49, pp. 864–873.
4. Liu Yang. Evaluation technology and practice of continental shale oil development in China. Petroleum Exploration and Development, 2022, vol. 49, pp. 1098–1109.
5. Omara M., Zavala-Araiza D., Lyon D.R. Methane emissions from US low production oil and natural gas well sites. Nat Commun, 2022, vol. 13, pp. 1–10.
6. Zhang Y. Analysis of low production and low efficiency oil recovery and enhanced oil recovery methods. E3S Web of Conferences, 2022, vol. 352, pp. 1–4.
7. Frolov V.V., Serebrennikov A.V., Nevzorova A.B. Optimization of the operating mode of downhole pumping equipment based on digital models. Oil and Gas Engineering, 2024, vol. 1, pp. 33–40. (In Russ.)
8. Santos D., Fioravanti A., Santos A., Schiozer D. A machine learning approach to reduce the number of simulations for long-term well control optimization. SPE annual technical conference & exhibition, USA, 2020. Available at: https://doi.org/10.2118/195690-PA (accessed 25 April 2025).
9. Edet Ita O., Appah D. A Computational model for wells’ performance analysis. SPE Nigeria Annual International Conference and Exhibition, Nigeria, 2021. pp. 656–672.
10. Hnot T., Vasylyshyn B., Struk A., Benham D., Meek J., Ferrara N. AI-based approach for ESP optimization. SPE Gulf Coast Section, USA, 2023. pp. 243–259.
11. Funes M. S., Albori M.M. ESP edge analytics and control to optimize efficiency while automating flow targets at site. SPE Middle East Artificial Lift Conference and Exhibition, Bahrain, 2024. pp. 268–276.
12. Soloviev I.G., Subarev D.N. Optimization of selection of the standard size and operating mode of a submersible pump. Herald of Cybernetics, 2012, vol. 11, pp. 3–8. (In Russ.)
13. Astuti W., Mulyono W.T. Production optimization in well A and well B using electric submersible pump (ESP). Journal of Earth Energy Engineering, 2023, vol. 12, pp. 16–26.
14. Williams A. J. Use of new design tool improves ESP design across the life of well in unconventional applications. SPE Gulf Coast Section Electric Submersible Pumps Symposium, USA, 2019. Available at: https://doi.org/10.2118/194417-MS (accessed 25 April 2025).
15. Novomet Group of Companies. Serial installations of ESP, 2025. Available at: https://www.novomet.ru/rus/products-and-services/artificial-lift/electrical-submersible-pumping-systems/standard-esp/ (accessed 25 April 2025).
16. Borets Manufacturing Company. Pumps, 2025. Available at: https://borets.ru/products/pumps (accessed 25 April 2025).
17. Rimera Group of Companies. Submersible electric centrifugal pump units, 2025. Available at: https://rimera.ru/products/ (accessed 25 April 2025).
18. ALMAZ LLC. Electric centrifugal pump unit, 2025. Available at: https://almaz-neft.ru/equipment/electric-centrifugal-pump-system/ (accessed 25 April 2025).
19. Soloviev I.G., Konstantinov I.V., Govorkov D.A. Optimization of the parameters of the arrangement and operating mode of a well with an ESP under complicated conditions. Automation, telemechanization and communication in the oil industry, 2019, vol. 9, pp. 28–35. (In Russ.)
20. Soloviev I.G., Govorkov D.A., Konstantinov I.V. Factor model of the dynamics of development of the operational resource of an ESP and the rules for its maintenance. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2022, vol. 333, no. 9, pp. 158–167. (In Russ.)
21. Badalov T.T., Akhmadiev A.M., Avram S.S. Analysis of the performance characteristics of centrifugal submersible pumps for low-flow wells. Challenges of the time and leading world research centers. A collection of articles based on the results of the International Scientific and Practical Conference. Tyumen, October 3, 2018. Tyumen, Agency for International Research Publ., 2018. pp. 73–78. (In Russ.)
22. Saracheva D.A., Vakhitova R.I., Urazakov K.R. Dependence of the thermal state of an electric centrifugal pump on the engine speed. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2019, vol. 330, no. 12, pp. 103–110. (In Russ.)
23. Soloviev G., Govorkov D.A. Tasks and tools for analysis and management of well operation modes. Automation, telemechanization and communication in the oil industry, 2013, vol. 4, pp. 32–37. (In Russ.)
24. Urazakov K.R., Rukin M.V., Borisov A.O. Modeling of thermal processes in a submersible motor of an electric centrifugal pump operating in a periodic mode. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2023, vol. 334, no. 4, pp. 62–71. (In Russ.)
25. Anikin V.V. Methodology and means of preliminary identification of parameters of the model of post-repair adjustable submersible asynchronous electric motors. Cand. Diss. Tomsk, 2021. 182 p. (In Russ.)
