Forecasting the involvement of residual reserves in the development of a late-stage field

Authors

  • G.Zh. Moldabayeva Satbayev University
  • R.T. Suleimenova Safi Utebaev Atyrau University of Oil and Gas
  • M.F. Turdiyev Samarkand State University
  • G.М. Efendiyev Institute of Oil and Gas of the National Academy of Sciences of Azerbaijan
  • A.L. Kozlovskiy Satbayev University
  • Sh.R. Tuzelbayeva Satbayev University
  • G.G. Berkaliyeva Safi Utebaev Atyrau University of Oil and Gas
  • M.Zh. Zhaksylykova Satbayev University

DOI:

https://doi.org/10.31643/2026/6445.02

Keywords:

field, well, displacement characteristics, model, production, production analysis.

Abstract

In the current context of the energy industry, effective management of residual reserves of fields at late stages of development is becoming a matter of critical importance. Residual oil reserves play a key role not only in ensuring energy security but also in the formation of economic sustainability of regions and countries. One of the main aspects of residual reserves management is forecasting their involvement in development at the later stages of the field life cycle. The presence of old fields, for which the construction of a GHDM is inappropriate, determines the use of various analytical and mathematical models in the analysis and design of development. The variety of such models is great, which allows them to be applied to various fields and at various stages of development. Of the many numerical models, we can highlight those that are distinguished by:  ease of use;  absence of complex physical and technological formulas;  wide applicability for various categories of deposits;  as well as the absence of the need for a detailed study of the geological and physical characteristics of the deposit. In our case, we are talking about displacement characteristics (hereinafter referred to as DC), which are a powerful data analysis tool that makes it possible to identify patterns and trends in changes in residual reserves. The use of statistical models allows us not only to assess the current state of residual reserves but also to predict their behavior in the future, which is a key element of effective production management.

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Author Biographies

G.Zh. Moldabayeva, Satbayev University

Doctor of Technical Sciences, Associate Professor of the Department of Petroleum Engineering, Satbayev University, 050013, Satpayev 22a, Almaty, Kazakhstan.  ORCID ID: https://orcid.org/0000-0001- 7331-1633

R.T. Suleimenova, Safi Utebaev Atyrau University of Oil and Gas

Doctor PhD, Associated Press.professor, Atyrau University of Oil and Gas named after Safi Utebaev, 060027, Baimukhanov, 45A, Kazakhstan. ORCID ID: https://orcid.org/0000-0001-7995-5560

M.F. Turdiyev, Samarkand State University

Candidate of fiz-mat. sciences, Samarkand State University, Department of Exact Sciences, Uzbekistan.

G.М. Efendiyev, Institute of Oil and Gas of the National Academy of Sciences of Azerbaijan

Doctor of Technical Sciences, Professor, Institute of Oil and Gas of the National Academy of Sciences of Azerbaijan, Baku, Azerbaijan. ORCID ID: https://orcid.org/0000-0002-4875-5782

A.L. Kozlovskiy, Satbayev University

PhD, Research Professor, Department of Chemical Processes and Industrial Ecology, Satpayev University, 050013, Satpayev 22a, Almaty, Kazakhstan. ORCID ID: https://orcid.org/0000-0001-8832-7443

Sh.R. Tuzelbayeva, Satbayev University

Master of technical sciences, doctoral student, Satbayev University, Almaty, Kazakhstan. ORCID ID: https://orcid.org/0000-0002-1749-6511

G.G. Berkaliyeva, Safi Utebaev Atyrau University of Oil and Gas

Doctoral student of the Department of Petroleum Engineering, Safi Utebaev Atyrau University of Oil and Gas, 060027, Baimukhanov, 45A, Atyrau, Kazakhstan. 

M.Zh. Zhaksylykova, Satbayev University

Master of technical sciences, doctoral student, Satbayev University, Almaty, Kazakhstan. ORCID ID: https://orcid.org/0009-0009-3910-8741

References

Yulin Ma, Zhou Du, Quanyong Xu,Jiaheng Qi. Flow field reconstruction of compressor blade cascade based on deep learning methods. Aerospace Science and Technology. 2024; 155(2):109637. https://doi.org/10.1016/j.ast.2024.109637

Soltanbekova K, Assilbekov B, & Zolotukhin A. Study of the horizontal sidetracking efficiency using hydrodynamic modeling (on the example of a Kazakhstani field). Kompleksnoe Ispolzovanie Mineralnogo Syra = Complex Use of Mineral Resources. 2022; 320(1):42-50. https://doi.org/10.31643/2022/6445.05

Ishkov AG, Yatsenko IA, Pystina NB, Khvorov GA, Yumashev MV, Yurov EV. Metodologiya formirovaniya programm energosberezheniya OAO Gazprom v usloviyakh novogo zakonodatel'stva [Methodology for the Formation of Energy Saving Programs of OAO Gazprom in the Conditions of New Legislation]. Gas Industry. 2012; 2:70-75. (in Russ).

Intriligator M. Mathematical methods of optimization and economic theory. M. Intriligator. Per. from English. M.: Progress. 1975, 607.

Kozachenko AN, Nikishin VI, Porshakov BP. Energetika truboprovodnogo transporta gazov [Gas pipeline power engineering]. M.: Oil and gas. 2001, 397. (in Russ).

Karasevich AM, Sukharev MG, Belinsky AV, Tverskoy IV, Samoilov RV. Energoeffektivnyye rezhimy gazotransportnykh sistem i metody ikh obespecheniya [Energy efficient modes of gas transmission systems and methods of their provision]. Gas Industry. 2012; 1:30-34. (in Russ).

Karasevich AM, Kreinin EV. Perspektivy i rezervy energosberejeniya v Rossii [Prospects and Reserves of Energy Saving in Russia]. Gazovaya promyşlennost. 2010; 9:68-71. (in Russ).

Kitaev SV, Farukhshina RR. Ekspress-sposob opredeleniya pokazateley energoeffektivnosti gazoperekachivayushchikh agregatov [Express method for determining the energy efficiency indicators of gas-pumping units]. Transport and storage of petroleum products and hydrocarbon raw materials. 2015; 1:19-22. (in Russ).

Kontseptsiya energosberezheniya i povysheniya energeticheskoy effektivnosti v OAO «Gazprom» na period 2011–2020 godov. Utverzhdena prikazom OAO «Gazprom» ot 08.12.2010 № 364 [Concept of energy saving and energy efficiency improvement in OAO Gazprom for the period 2011-2020. Approved by Order of OAO Gazprom dated 08.12.2010 № 364. (in Russ).

Maksimov MI. Metod podscheta izvlekayemykh zapasov nefti v konechnoy stadii ekspluatatsii neftyanykh plastov v usloviyakh vytesneniya nefti vodoy [Method for calculating recoverable oil reserves in the final stage of exploitation of oil reservoirs under conditions of oil displacement by water]. 1959. (in Russ).

Nazarov SN, Sipachev N V. Metodika prognozirovaniya tekhnologicheskikh pokazateley na pozdney stadii razrabotki neftyanykh zalezhey [Methodology for forecasting technological indicators at a late stage of oil deposit development]. 1972. (in Russ).

Sazonov BF. Sovershenstvovaniye tekhnologii razrabotki neftyanykh mestorozhdeniy pri vodonapornom rezhime [Improving the technology of oil field development under water-driven conditions]. 1973. (in Russ).

Kambarov GS, Almamedov DG, Makhmudova TYU. K opredeleniyu nachal'nogo izvlekayemogo zapasa neftyanogo mestorozhdeniy [To determine the initial recoverable reserve of an oil field]. 1974. (in Russ).

Mikaelyan EA. Modernizasiya gazoturbinnoi ustanovki v selyah energosberejeniya [Modernization of a gas turbine plant for the purpose of energy saving]. Gazovaya promyshlennost. 2010; 10:15-16. (in Russ).

Opredeleniye moshchnosti na valu silovoy turbiny po termodinamicheskim parametram v ekspluatatsii. Technique 83-00-900 PM 150-1. PS-90GP-2 engine [Aviadvigatel JSC Determination of power on the shaft of a power turbine by thermodynamic parameters in operation]. (in Russ).

Mikhailov SА, Mingazov BG, Varsegov VL, Simkin EL, Osipov BM, Tokmovtsev YuV. Razrabotka metodiki mnogofaktornogo diagnostirovaniya i prognozirovaniya tekhnicheskogo sostoyaniya GPA-16R Ufa s gazoturbinnym privodom AL-31ST. Razrabotka programmnogo obespecheniya dlya rascheta parametrov tekhnicheskogo sostoyaniya GPA-16R Ufa [Technical report on the topic: Development of a methodology for multifactor diagnostics and forecasting of the technical state of the GPA-16R Ufa with the gas turbine drive AL-31ST. Development of software for calculating the technical condition parameters of GPA-16R Ufa]. 2013, 55. (in Russ).

Mikhailov СА, Mingazov BG, Varsegov VL, Simkin EL, Osipov BM, Tokmovtsev YuV. Razrabotka metodiki mnogofaktornogo diagnostirovaniya i prognozirovaniya tekhnicheskogo sostoyaniya GPA-16R Ufa s gazoturbinnym privodom AL-31ST. Razrabotka programmnogo obespecheniya dlya rascheta parametrov tekhnicheskogo sostoyaniya GPA-16R Ufa [Technical report on the topic: Development of a methodology for multifactor diagnostics and forecasting of the technical state of the GPA-16R Ufa with the gas turbine drive AL-31ST. Development of software for calculating the parameters of the technical state of GPA-16R Ufa]. 2014, 215. (in Russ).

Mikhailov DA, Golyanov AI. Komp'yuternyy imitator raboty tsentrobezhnogo nagnetatelya [Computer simulator of a centrifugal blower]. Ufa.: IDPO GOU VPO UGNTU. 2007, 32-44. (in Russ).

Fode Zhang, Yimin Shi. Geometry on the statistical manifold induced by the degradation model with soft failure data. Journal of Computational and Applied Mathematics. 2020; 363:211-222. https://doi.org/10.1016/j.cam.2019.06.003

Moldabayeva GZh, Suleimenova RT. Effektivnost' primeneniya fizicheskogo vozdeystviya na produktivnyy plast dlya snizheniya vyazkosti i uvelicheniya nefteotdachi plastov [The effectiveness of the use of physical impact on the reservoir to reduce the viscosity and increase oil recovery]. Kompleksnoe Ispolzovanie Mineralnogo Syra = Complex Use of Mineral Resources. 2021; 1(316):53-61. (in Russ). https://doi.org/10.31643/2021/6445.07

Imansakipova ZB, Buktukov NS, Imansakipova BB. Pressure distribution in the oil reservoir in a two-dimensional plane. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023; 1:38-45.

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Published

2024-11-06

How to Cite

Moldabayeva, G., Suleimenova, R., Turdiyev, M., Efendiyev, G., Kozlovskiy, A., Tuzelbayeva, S., Berkaliyeva, G., & Zhaksylykova, M. (2024). Forecasting the involvement of residual reserves in the development of a late-stage field. Kompleksnoe Ispolzovanie Mineralnogo Syra = Complex Use of Mineral Resources, 336(1), 15–29. https://doi.org/10.31643/2026/6445.02

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