Comparison of the classical method of integral characteristics of displacement and the probability approach in terms of accuracy of forecasting recoverable oil reserves
https://doi.org/10.31660/0445-0108-2025-6-88-100
EDN: TCFTAP
Abstract
Displacement characteristics offer a fast and efficient way to forecast recoverable oil reserves and evaluate the effectiveness of geological and technical interventions. Displacement characteristics helps significantly reduce the time and financial costs associated with constructing a three-dimensional hydrodynamic model. The authors of this paper introduce a probabilistic approach that extrapolates oil production dynamics using integral water-cut curves. This study com-pares the classical displacement-characteristics method with the probabilistic approach and assess their prediction accuracy. Also, they present the forecasting algorithm and analyze how the method performs at various water-cut levels at the end of the approximation interval. During the early stages of development, the probabilistic approach demonstrates higher accuracy than the traditional approach. Additionally, the authors outline criteria to help eliminate unrealistic extrapolated results when applying the probabilistic method.
About the Authors
V. S. ShumkoРоссия
Vladislav S. Shumko, Assistant at the Department of Development and Exploitation of Oil and Gas Fields
Tyumen
E. I. Mamchistova
Россия
Elena I. Mamchistova, Candidate of Engineering Sciences, Associate Professor at the Department of Development and Exploitation of Oil and Gas Fields
Tyumen
References
1. Sokolov, S. V. (2016). Matematicheskaya model' prognozirovaniya bazovoj dobychi nefti s uchetom neopredelennostej na osnove metoda harakteristik vytesneniya. Vestnik Tyumenskogo gosudarstvennogo universiteta. Fiziko-matematicheskoe modelirovanie. Neft', gaz, energetika, 2(1), pp. 82-91. (In Russian).
2. Sokolov, S. V. (2014). Modifikaciya harakteristik vytesneniya dlya kratkosrochnogo prognoza dobychi nefti i ocenki effekta ot realizacii programmy geologo-tekhnicheskih meropriyatij. Proceedings of the 18th International Scientific and Practical Conference (Hanty-Mansijsk, November 17-21, 2014). Hanty-Mansijsk. (In Russian).
3. Kazakov, A. A. (2020). Metody harakteristik vytesneniya nefti vodoj. Moscow, Izdatel'skij dom Nedra Publ., 276 p. (In Russian).
4. Shumko, V. S., Mamchistova, E. I., & Kuzovlev, S. S. (2021). Estimating recoverable oil reserves using integral displacement characteristics based on probabilistic methodology. Oil and gas studies, (2), pp. 78-88. (In Russian). DOI: 10.31660/0445-0108-2021-2-78-88
5. Kazakov, A. A. (2003). Metodicheskoe obespechenie edinyh podhodov ocenki effektivnosti metodov PNP. Tekhnologii TEK, (2), pp. 47–53. (In Russian).
6. Spivey, J. P., Gatens, J. M., Semmelbeck, M. E., & Lee, W. J. (1992). Integral type curves for advanced decline curve analysis. SPE Mid-Continent Gas Symposium (Amarillo, April 13-14, 1992). Amarillo, Texas, p. 91. (In English).
7. Nazarenko, M. Yu., & Zolotuhin, A. B. (2020). Application of machine learning for probabilistic production forecasting and ultimately recoverable reserves estimation. Oil industry, (9), pp. 109-113. (In Russian). DOI : 10.24887/0028-2448-2020-9-109-113
8. Hanipov, M. N., Nasybullin, A. V., & Sattarov, R. Z. (2016). Veroyatnostnaya ocenka vovlechennyh v razrabotku zapasov nefti na osnove harakteristik vytesneniya s primeneniem statisticheskih metodov. Neftyanoe hozyajstvo, (1), pp. 37-39. (In Russian).
9. Ruchkin, A. A., & Levagin, S. A. (2016). Veroyatnostnyj prognoz izvlekaemyh zapasov po harakteristikam vytesneniya. Proceedings of the 20th International Scientific and Practical Conference (Hanty-Mansijsk, November 14-18, 2016). Hanty-Mansijsk, pp. 393-401. (In Russian).
10. Ruchkin, A. A., & Guseva, D. N. (2016). Novyj podhod k ocenke izvlekaemyh zapasov po harakteristikam vytesneniya. Neftepromyslovoe delo, (1), pp. 43-47. (In Russian).
Review
For citations:
Shumko V.S., Mamchistova E.I. Comparison of the classical method of integral characteristics of displacement and the probability approach in terms of accuracy of forecasting recoverable oil reserves. Oil and Gas Studies. 2025;(6):88-100. (In Russ.) https://doi.org/10.31660/0445-0108-2025-6-88-100. EDN: TCFTAP
JATS XML






