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Method for a priori estimation of effective radial permeability to enhance the informativity of interpretative value of distorted pressure recovery curves in horizontally completed wells

https://doi.org/10.31660/0445-0108-2025-5-74-88

EDN: FOJJTA

Abstract

Effective radial (horizontal) permeability is a crucial characteristic of a fluid-saturated reservoir. Understanding this parameter assists in addressing various scientific and practical challenges in the oil and gas industry.

Effective radial permeability is determined through hydrodynamic studies conducted under unsteady filtration conditions. In the current state of a developing reservoir, these methods enable the estimation of this parameter while considering the geological and field contexts at the time of measurement. However, certain circumstances — such as inadequate well shut-in time, noisy bottom-hole pressure measurements, technical problems with the lift system, or deviations from operational procedures — can lead to significant distortions in recorded time-dependent reservoir responses.

This results in ambiguous interpretations and diminishes the informative value, particularly in wells with complex completion geometries. In such cases, methods for a priori assignment of initial estimates of sought parameters, including effective permeability, before processing pressure curves become valuable and necessary. One approach involves a prediction method based on statistical models that utilize indirect indicator assessments. This paper aims to describe the sequence of steps involved in implementing an algorithm to determine initial estimates of effective radial permeability. This algorithm employs both dimensional and dimensionless criteria. They are set of quantities, which reflect the combination of geometric features of the wellbore, physicogeological properties of the reservoir, the actual energy characteristics of the production object, and field data. The paper used the conclusions drawn from geophysical and hydrodynamic studies interpretations as the initial data. This work applied mathematical statistical tools to achieve the required solutions.

The proposed methodological approach is suitable for processing pressure curves that are complicated by side effects, while ensuring reliable estimates of the effective radial permeability of the reservoir. This method can be applied to any well where the necessary data for calculations is available.

About the Authors

T. V. Kuzmina
Branch of LLC LUKOIL-Engineering " КоgalymNIPIneft" in Tyumen
Russian Federation

Tat'yana V. Kuzmina, Chief Specialist of Department of Hydrodynamic Research of Wells

Tyumen



A. G. Kozubovsky
InTEK CJSC
Russian Federation

Aleksandr .G. Kozubovsky, Head of Research Group

Tyumen



S. K. Sokhoshko
Industrial University of Tyumen
Russian Federation

Sergey K. Sokhoshko, Doctor of Engineering, Professor, Professor of the Highest Category at the Department of
Development and Exploitation of Oil and Gas Field

Tyumen



M. Yu. Savastin
Industrial University of Tyumen
Russian Federation

Mikhail Yu. Savastin, Candidate of Engineering, Associate Professor at the Department of Development and Exploitation of Oil and Gas Field

Tyumen



References

1. Koskov, B. V. (2016). Opredelenie gidrodinamicheskikh parametrov produk-tivnykh plastov na osnove kompleksnoy interpretatsii promyslovogeofizicheskikh dannykh. Diss. … kand. tekhn. nauk. Perm', 121 р. (In Russian).

2. Cherepanov, S. S. (2016). Issledovanie i sovershenstvovanie metodov ocenki treshchinovatosti karbonatnyh kollektorov (na primere turne-famenskih otlozhenij Solikamskoj depressii). Diss. … kand. tekhn. nauk. Perm', 111 р. (In Russian).

3. Haddad, S., Cribbs, M., Sagar, R., Tang, Y., Viro, E., & Castelijins, K. (2001). Integrating Permeabilities from NMR, Formation Tester, Well Test and Core Data. In SPE Annual Technical Conference and Exhibition? pp. SPE-71722. (In English).

4. Ahmed, A. R., Ahmad, M., & Rehman, A. U. (2010). Comparison of Core/Log and Well Test Permeabilities-A Closer Look" Sawan Tight Sands". In SPE/PAPG Pakistan Section Annual Technical Conference, pp. SPE-142836. SPE. (In English). DOI 10.2118/142836-MS

5. Erlager, R. M. (2006). Hydrodynamic Methods for Well Investigation. Moscow, Institute of Computer Research, 512 p. (In Russian).

6. Fundamentals of Reservoir Testing (2012). Moscow – Izhevsk, Institute of Computer Research Publ., 432 p. (In Russian).

7. Kryganov, P. V. (2012). Metody povysheniya dostovernosti rezul'tatov gidrodi-namicheskih issledovanij neftyanyh plastov i skvazhin. Avtoref. diss. … kand. tekhn. nauk. Moscow, 29 р. (In Russian).

8. Korolev, K. B., & Silkina, T. N. (2008). Rational Approach to Conducting Hydrodynamic Studies of Wells // Oil Industry,(12), pp. 12–14. (In Russian).

9. Fedorov, V. N., & Meshkov, V. M. (2022). Approaches to assessing the quality and reliability of the results of hydrodynamic well testing in outsourcing conditions // Actual Problems in Oil and Gas, 2(37), pp. 112-125. DOI 10.29222/ipng.2078-5712.2022-37.art8. (In Russian).

10. Kozubovsky, A. G., Efimov, A. D., & Kuzmina, T. V. (2015). Application of hurringtons' generalized desirability function to assess the quality of wells hydrodynamic survey.Geology, Geophysics and Development of Oil and Gas Fields, (9), pp. 27-30. (In Russian).

11. Gorbunov, A. T. (1981). Development of Abnormal Oil Fields. Moscow, Nedra Publ., 237 p. (In Russian).

12. Dobrynin, V. M., Mulin, V. B., & Kulikov, B. N. (1973). Irreversible Reduction in Permeability of Polymictic Sandstones at the Samotlor Field // Oil Industry, (10), pp. 34-37. (In Russian).

13. Diyashev, R. N., Kosterin, A. V., & Skvortsov, E. V. (1999). Fluid Flow in Deformable Oil Reservoirs. Kazan, Publishing House of Kazan Mathematical Society Publ., 238 p. (In Russian).

14. Kozhevnikov, E. V., Turbakov, M. S., Ryabokon, E. P., Gladkih, E. A., Guzev, M. A., & Chengzhi, Qi. (2024). Investigating the influence of reservoir pressure on porous media permeability: a case study of fields in the Perm region. Nedropol'zovanie, 24(2), pp. 78-85. (In Russian). DOI: 10.15593/2712-8008/2024/2/5

15. Popov, S. N., Chernyshev, S. E., & Gladkih, E. A. (2022). Influence of Deformations in a Terrigenous Reservoir During Bottomhole and Formation Pressure Decline on Changes in Permeability and Well Productivity. Proceedings of Tomsk Polytechnic University: Engineering Georesources, 333(9), pp.148-157. (In Russian).

16. Plitkina, Yu. A. (2021). Efficiency of reservoir pressure maintenance system in low-permeable heterogeneous reservoirs. Oil and Gas Studies, (3), pp. 63-78. (In Russian). DOI 10.31660/0445-0108-2021-3-63-78

17. Kozubovsky, A. G., & Kuzmina, T. V. (2022). The Impact of Development of reservoir Processes on Well Productivity // PRONEFT. Professional about Oil, 7(2(24)), pp. 32-40. (In Russian). DOI: 10.51890/2587-7399-2022-7-2-32-40

18. Mishchenko, I. T., Sakharov, V. A., Gron, V. G., Bogomolny, G. I. (1984). Collection of Problems in Oil Production Technology and Engineering: Textbook for Higher Education Institutions. Moscow, Nedra Publ., 272 p. (In Russian).


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For citations:


Kuzmina T.V., Kozubovsky A.G., Sokhoshko S.K., Savastin M.Yu. Method for a priori estimation of effective radial permeability to enhance the informativity of interpretative value of distorted pressure recovery curves in horizontally completed wells. Oil and Gas Studies. 2025;(5):74-88. (In Russ.) https://doi.org/10.31660/0445-0108-2025-5-74-88. EDN: FOJJTA

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