Skip to main content

Planning Field Development Using Optimization Algorithms

  • Conference paper
  • First Online:
Proceedings of STCCE 2022 (STCCE 2022)

Abstract

The ultimate oil recovery rate is affected by both the geological properties of strata and the technological parameters of field development. The key indicators when choosing a development system are well grid density, the ratio of production and injection wells, technological modes of operation. Under the conditions of complex geological structure of fields, this problem cannot be solved without the use of tools of geological and hydrodynamic modeling. This work considers three options of planned well count arrangement with the distances between the wellbores of 150, 250, and 350 m within the limits of the external contour of the object oil bearing. The inverse five-point system has been chosen as an arrangement scheme. Calculations have been made using the hydrodynamic model. The results obtained showed that different options for the development of the object can be implemented (with different withdrawal rates, strategy performance, oil recovery rates), depending on the company's development strategy and allocated investments. Another important factor in choosing the option of object development is the operation modes of wells. For this purpose, we propose to use optimization algorithms built into the simulator. These algorithms make it possible to find the best solutions, observing the given conditions. The following algorithms were used in iterative calculations to find the optimal operation modes: differential evolution, particle swarm method, simplex method. The calculation results show that the optimization algorithms can be used to select a wide range of solutions for field development.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Abyzbaev, I.I., Fazleeva, D. R., Abyzbaev, N. I., Yanchenko, S.V.: On the issue of integrated design of oil field development. Prob. Gathering Treat. Transp. Oil Oil Prod. 3(119), 82-88 (2019)

    Google Scholar 

  2. Prokop’ev-Rotermil, A.A.: Designing the optimal option of the field development project. Enigma 27(1), 109–115 (2020)

    Google Scholar 

  3. Antonov, O.G., Nasybullin, A.V., Lifantiev, A.V.: Improvement of methods of regulation of oil reservoir development. Neftyanaya Provintsiya 3(7), 87–100 (2016)

    Google Scholar 

  4. Titov, V.E.: Tasks of modeling of filtration processes in designing the development of hydrocarbon fields. Ashirovskie hteniya 2(18), 49–51 2016

    Google Scholar 

  5. Brilliant, L.S., Dulkarnaev, M.R., Danko, M.Y., et al.: Management of oil production on the basis of neural network optimization of well operation modes at the pilot operations site of reservoir YV1 of Vatyeganskoye field of TPP ‘‘Povkhneftegaz’’. Georesursy 24(1), 3–15 (2022)

    Google Scholar 

  6. Brilliant, L.S., Zavyalov, A.S., Danko, M.Y., et al.: Integration of machine learning methods and geological and hydrodynamic modeling in field development design. Neftyanoe Khozyaystvo 3, 48–53 (2022)

    Google Scholar 

  7. Mozhchil, A.F., Dmitriev, D.E., Bazyleva, N.Z., et al.: Application of optimization algorithms to solve engineering problems in conditions of high uncertainty. Neftyanoe Khozyaystvo 11, 149–152 (2019)

    Google Scholar 

  8. Vaganov, L.A., Sencov, A.Y., Ankudinov, A.A., Polyakova, N.S.: Calculation of optimal injection rate for dispersed waterflooding system. Oil Gas Stud. (6), 63–67 (2017). https://doi.org/10.31660/0445-0108-2017-6-63-67

  9. Bakhtizin, R.N., Fattakhov, I.G., Gimaev, R.G.: Study of unsteady water flooding production state. Oil Gas Bus. 11(4), 68–72 (2013)

    Google Scholar 

  10. Fattakhov, I.G.: The consideration of the cyclic injection through the example of Stakhanovskiy oil field. Mod. Fund. Appl. Res. 4(7), 70–73 (2012)

    Google Scholar 

  11. Dada, M.A., et al.: A field development strategy for the joint optimization of flow allocations, well placements and well trajectories. Energy Explor. Exploit. 39, 502–527 (2020)

    Article  Google Scholar 

  12. Nurgaliev, R.Z., Kozikhin, R.A., Fattakhov, I.G., Kuleshova, L.S.: Application prospects for new technologies in geological and technological risk assessment. Gornyi Zhurnal (4), 36–40 (2019)

    Google Scholar 

  13. Lushpeev, V.A., Margarit, A.: Optimization of oil field development process based on existing forecast model (2018)

    Google Scholar 

  14. Chen, S.Y., et al.: An analysis on the effect of selection on exploration in particle swarm optimization and differential evolution. In: 2019 IEEE Congress on Evolutionary Computation (CEC) (2019), pp. 3037–3044 (2019)

    Google Scholar 

  15. Feng, X., Liao, X.-W.: Study on well spacing optimization in a tight sandstone gas reservoir based on dynamic analysis. ACS Omega 5, 3755–3762 (2020)

    Article  Google Scholar 

  16. Fattakhov, I.G., Kuleshova, L.S., Yakubova, D.I., Murdasheva, L.V., Gafarov, R.R., Shaidullin, R.R.: Evaluation of the effectiveness of waterproofing based on model research. In: Materials of the 45th Scientific and Technical Conference of Young Scientists, Graduate Students and Students, pp. 180–182. USPTU Publishing House, Ufa (2018)

    Google Scholar 

  17. Bahtizin, R.N., Nurgaliev, R.Z., Fattakhov, I.G., Andreev, V.E., Safiullina, A.R.: On the question of the efficiency analysis of the bottom-hole area stimulation method. Int. J. Mech. Eng. Technol. 9(6), 1035–1044 (2018)

    Google Scholar 

  18. Babichev, I.N., Fattakhov, I.G., Kuleshova, L.S., Zaripov, L.F., Morozov, M.A.: Potential for the wellbore zone development using the dynamic impact. IOP Conf. Ser. Earth Environ. Sci. 378(1), 012111 (2019)

    Article  Google Scholar 

  19. Ramazanov, R., Kharlamov, K.A., Letko, I., Martsenyuk, R.: Analysis of injection wells operation at Srednebotuobinskoye field. Neftyanoe khozyaystvo - Oil Industry (2019)

    Google Scholar 

  20. Mahmood, F., Al-Hadrami, H., Pourafshary, P., Vakili-Nezhaad, G., Mosavat, N.: Optimization of smart water flooding in carbonate reservoir. In: Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juliya Kareeva .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Semanov, A., Semanova, A., Fattakhov, I., Iangirov, F., Kareeva, J. (2023). Planning Field Development Using Optimization Algorithms. In: Vatin, N. (eds) Proceedings of STCCE 2022. STCCE 2022. Lecture Notes in Civil Engineering, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-031-14623-7_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-14623-7_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-14622-0

  • Online ISBN: 978-3-031-14623-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics