Article

Determination of predictive technological indicators for the development of a two-seam gas field in the gas mode by a common well grid and their operation with constant wellhead pressure

Roman Kondrat, Oleksandr Kondrat, Nataliia Dremliukh, Liliia Matiishyn
Abstract

Methods for predicting technological indicators for the development of a single-layer gas field for the gas regime and operation of wells with constant wellhead pressure are presented. For a two-layer gas field with different permeability, hydrodynamically isolated layers, developed by a single network of wells with constant wellhead pressure, there are no available engineering calculation methods that allow one to quickly predict technological indicators of gas production with sufficient accuracy. A methodology has been developed to determine predictive technological indicators for the development of a two-layer gas field in gas mode, using a common well pattern and operating at constant wellhead pressure. Studies were carried out on a hypothetical (model) two-layer gas field with different permeability, hydrodynamically isolated layers, developed together by a single well grid, using mathematical modelling methods, in particular the method of sequential changes in steady states. The proposed methodology is based on the joint solution of the material balance equation for each gas-bearing formation for the gas regime, the two-term formula for gas inflow in each formation to the average well, the equation for gas movement in vertical well pipes and the equation establishing the relationship between bottomhole pressures in each layer. Dependencies have been obtained that make it possible to determine the current values of reservoir and bottomhole pressures in each formation, the gas flow rate from each formation and the “average” well, annual and cumulative gas production from each formation and field. The methodology presented is implemented in Mathcad software and tested on a hypothetical field. The proposed methodology for determining the predicted technological indicators of development of a two-layer gas field for the gas regime with a common well pattern and their operation at constant wellhead pressure allows you to quickly calculate the technological indicators of gas production using widely available computer programs

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Received 06.03.2023

Revised 18.07.2023

Accepted 28.08.2023

https://doi.org/10.69628/pdogf/3.2023.34
Retrieved from Vol. 23, No. 3, 2023
Pages 34-41

Suggested citation

Kondrat, R., Kondrat, O., Dremliukh, N., & Matiishyn, L. (2023). Determination of predictive technological indicators for the development of a two-seam gas field in the gas mode by a common well grid and their operation with constant wellhead pressure. Prospecting and Development of Oil and Gas Fields, 23(3), 34-41. https://doi.org/10.69628/pdogf/3.2023.34

References

  1. Suppachokniun, T., Wantawin, M., & Kiatrabile, T. (2018). Maximising the opportunity in multi-layered tight sand reservoirs in a mature field by hydraulic fracturing: A case study of tight sand development project in Thailand. SPE Asia Pacific Oil and Gas Conference and Exhibition, article number SPE-192047-MS. doi: 10.2118/192047-MS.
  2. Urvantsev, R.V., & Ibragimova, D.R. (2020). Promising methods for increasing the efficiency of exploitation of thin low-pressure gas deposits with underlying water. SPE Russian Petroleum Technology Conference. doi: 10.2118/202007-MS.
  3. Kondrat, R.M., Kondrat, O.R., & Matiishyn, L.I. (2023). Development and operation of gas and gas-condensate fields: A textbook. Foliant.
  4. Lubnin, A., Afanasiev, I., Yudin, E., Sansiev, G., & Galimova, A. (2018). peculiarities of white tiger field basement development forecasting: Challenges and solutions. SPE Russian Petroleum Technology Conference. doi: 10.2118/191571-18RPTC-MS.
  5. Ojedapo, B., Ikiensikimama, S.S., & Wachikwu-Elechi, V.U. (2022). Petroleum production forecasting using machine learning algorithms. IN SPE Nigeria annual international conference and exhibition (article number SPE-212018-MS). doi: 10.2118/212018-MS.
  6. Agbodike, B.O., Osokogwu, U.N., & Achumba, G.I. (2019) Solution to limited pressure BHP data in brown fields: Material balance equation approach. In Proceedings of SPE Nigeria annual international conference & exhibition (article number 198785‑MS). Lagos. doi: 10.2118/198785-MS.
  7. Aldambi, A.A., & Al‑Khudafi, A.M. (2021). Impact of physical properties on material balance calculations: Case study Al‑Nasr oil field, Shabwah Governorate. University of Aden Journal of Natural and Applied Sciences, 25(1), 133-146. doi: 10.47372/uajnas.2021.n1.a11.
  8. Deryaev, A. R. (2022). Justification of the adopted methodology for forecasting technological development indicators for gas condensate field during development by the method of dual completion. East European Scientific Journal, 5(81).
  9. Rastogi, A., & Fan, Y. (2020). Experimental and modeling study of onset of liquid accumulation. Journal of Natural Gas Science and Engineering, 73, article number 103064. doi: 10.1016/j.jngse.2019.103064.
  10. Bapat, S., & Akhter, N. (2020). Mathematical model for predicting the reservoir performance of gas condensate in multiphase flow systems. In Proceedings of the offshore technology conference Asia (article number OTC-30189-MS). Kuala Lumpur.
  11. Seah, Y.H., Gringarten, A.C., Giddins, M.A., & Burton, K. (2014). Optimising recovery in gas condensate reservoirs. In Proceedings of the SPE Asia pacific oil & gas conference and exhibition. Perth. doi: 10.2118/171519-MS.
  12. Kondrat, R.M., Dremliukh, N.S., & Uhrynovskyi, A.V. (2017). Study of foam formation process with use of water solutions of foam‑forming pairs and foam stabilizers. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (159), 20-26.
  13. Kondrat, R., & Matiishyn, L. (2022). Improving the efficiency of production wells at the final stage of gas field development. Mining of Mineral Deposits, 16(2), 1-6. doi:  10.33271/mining16.02.001.
  14. Burachok, O., Kondrat, O., & Matkivskyi, S. (2021). Investigation of the efficiency of gas condensate reservoirs waterflooding at different stages of development. E3S Web of Conferences, 230, article number 01010. doi: 10.1051/e3sconf/202123001010.