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

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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