Currently, most conventional fields are being developed using a reservoir pressure maintenance system. Waterflooding optimization goals change over the field’s life. At early stages of field production, water is injected to maintain the reservoir energy and to maximize the oil production, while in maturing fields with the increased water/oil ratio, the focus is shifted to reduction of water production without losses in oil production.
Because of both operational and geological reasons, some portion of the injected displacement agent fails to provide an effective sweep, as a rule.
The paper considers a method to evaluate the waterflooding performance in mature fields. For the analysis, a well drainage matrix was used which is a hydrodynamic model tool using data generated on the basis of producers-injectors interference analysis. The volume of injected water and the volume of produced oil due to injection were calculated for all responding wells in a pattern during a user-specified time interval. Cross-plots of oil and fluid production due to injection wells were built using the well drainage matrix tools, groups of effective and non-effective wells were identified. The obtained data were used to build a map of waterflooding efficiency to define areas with good and poor sweep. This approach allows the operator to identify waterflooding system bottlenecks at the earliest, and to take necessary steps to improve performance of both injectors and producers.
References
1. Patent RU 2530948 C1, Oil deposit development method, Inventors: Kadyrov R.R., Fattakhov I.G., Gubaydulin F.R., Fattakhov R.B., Khasanova D.K.
2. Polyakova N.I., Maksimova Yu.A., Zyatikov P.N., Integrated approach to application of methods for analyzing the effectiveness of the oil reservoir flooding system (In Russ.), Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov, 2020, V. 331, no. 10, pp. 91–98.
3. Fattakhov I.G., Semanov A.S., Semanova A.I., Garifullina Z.A., Water-flooding optimal strategy at low carboniferous deposits (In Russ.), Neftepromyslovoe delo, 2022, no. 7, pp. 5–12, DOI: http://doi.org/10.33285/0207-2351-2022-7(643)-5-12
4. Timofeev O.V., Gladkikh K.D., On increasing of flooding system performance on oil reservoir (on the example of the Dorokhovskaya group of fields) (In Russ.), Problemy razrabotki mestorozhdeniy uglevodorodnykh i rudnykh poleznykh iskopaemykh, 2020, V. 2, pp. 431–437.
5. Iktisanov V.A., A method for evaluation of the effectiveness of injection wells operation (In Russ.), Neftepromyslovoe delo, 2020, no. 1, pp. 32–35, DOI: http://doi.org/10.30713/0207-2351-2020-1(613)-32-35
6. Nurgaliev R.Z., Kozikhin R.A., Fattakhov I.G. et al., Prospects for the use of new technologies in assessing the impact of geological and technological risks, IOP Conference Series: Earth and Environmental Science, 2019, V. 378, DOI: http://doi.org/10.1088/1755-1315/378/1/012117
7. Grishchenko V.A., Tsiklis I.M., Mukhametshin V.Sh., Yakupov R.F., Methodological approaches to increasing the flooding system efficiency at the later stage of reservoir development (In Russ.), SOCAR Proceedings, 2021, Special Issue, no. 2, pp. 161–171, DOI: http://doi.org/10.5510/OGP2021SI200583
8. Fattakhov I.G., Semanov A.S., Semanova A.I. et al., Prospects for horizontal wells construction in the fields with a complex geological structure (In Russ.), Geologiya, geofizika i razrabotka neftyanykh i gazovykh mestorozhdeniy, 2022, no. 3, pp. 46–53, DOI: http://doi.org/10.33285/2413-5011-2022-3(363)-46-53
9. Kozikhin R.A., Fattakhov I.G., Kuleshova L.S. et al., Improvement of the efficiency of horizontal wells, IOP Conference Series: Materials Science and Engineering, 2020, V. 952, DOI: http://doi.org/10.1088/1757-899X/952/1/012056
10. Chen S., Bolufé-Röhler A., Montgomery J., Hendtlass T., An analysis on the effect of selection on exploration in particle swarm optimization and differential evolution, 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, 2019, pp. 3037-3044, DOI: http://doi.org/10.1109/CEC.2019.8790200.
11. Pyatibratov P.V., Zammam M., Turovskaya E.A., Water-flooding optimization based on streamlines simulation (In Russ.), Oborudovanie i tekhnologii dlya neftegazovogo kompleksa, 2021, no. 4, pp. 37–44, DOI: http://doi.org/10.33285/1999-6934-2021-4(124)-37-44
12. Yaubatyrov R.R., Kotezhekov V.S., Babin V.M., Nuzhin E.E., Technology for optimizing reservoir pressure maintenance system based on hybrid modeling (In Russ.), PROneft'. Professional'no o nefti, 2019, no. 2, pp. 30–36, DOI: https://doi.org/10.24887/2587-7399-2019-2-30-36
13. Potashev K.A., Akhunov R.R., Mazo A.B., Calculation of the flow rate between wells in the flow model of an oil reservoir using streamlines (In Russ.), Georesursy, 2022, V. 24, no. 1, pp. 27–35, DOI: https://doi.org/10.18599/grs.2022.1.3
14. Kozikhin R.A., Daminov A.M., Fattakhov I.G. et al., Identifying the efficiency factors on the basis of evaluation of acidizing of carbonate reservoirs, IOP Conference Series: Earth and Environmental Science, 2018, V. 194, DOI: http://doi.org/10.1088/1755-1315/194/6/062013
15. Rozbaev D.A., Semenov S.V., Kornev A.A., Andronov Yu.V., Methodological approach to the quantitative estimation of the efficient water injection (In Russ.), Neftepromyslovoe delo, 2019, no. 9, pp. 23–29, DOI: https://doi.org/10.30713/0207-2351-2019-9(609)-23-29
16. Kozikhin R.A., Fattakhov I.G., Kuleshova L.S., Gabbasov A.Kh., Scenario approach for increasing efficiency of wells operation with the horizontal termination, IOP Conference Series: Earth and Environmental Science, 2018, V. 194, DOI: http://doi.org/10.1088/1755-1315/194/8/082020
17. Xiaoxu Feng, Liao Xinwei, Study on well spacing optimization in a tight sandstone gas reservoir based on dynamic analysis, ACS Omega, 2020, no. 5, pp. 3755–3762, DOI: http://doi.org/10.1021/acsomega.9b04480
18. Mahmood Fani, Hamoud Al-Hadrami, Peyman Pourafshary et al., Optimization of smart water flooding in carbonate reservoir, SPE-193014-MS, 2018, DOI: https://doi.org/10.2118/193014-MS
19. Sentsov A.Yu., Ryabov I.V., Ankudinov A.A. et al., Analysis of the flooding system with application of statistical data processing methods (In Russ.), Neftepromyslovoe delo, 2020, no. 8, pp. 5–9, DOI: https://doi.org/10.30713/0207-2351-2020-8(620)-5-9
20. Bakhtizin R.N., Fattakhov I.G., Kadyrov R.R., Safiullina A.R., Integral analysis aimed at identification and analytical solution of issues on oil recovery efficiency enhancement, International Journal of Applied Engineering Research, 2016, V. 11, no. 3, pp. 1612–1621.
21. Agleshov R.M., Water-flooding regulation to increase the efficiency of the reservoir pressure maintenance (In Russ.), Neftepromyslovoe delo, 2018, no. 5, pp. 32–39, DOI: https://doi.org/10.30713/0207-2351-2018-5-32-39
22. Lushpeev V.A., Margarit A., Optimization of oil field development process based on existing forecast model, Journal of Applied Engineering Science, 2018, V. 16, no. 3, pp. 391-397, DOI: https://doi.org/10.5937/jaes16-17218
23. Jia Deli, Zhang Jiqun, Wang Quanbin et al., Research on intelligent analysis approach of waterflooding for mature fields, Proceedings of 33rd Chinese Control and Decision Conference (CCDC), 2021, pp. 2378–2383, DOI: https://doi.org/10.1109/CCDC52312.2021.9601651
24. Fattakhov I.G., Kadyrov R.R., Nabiullin I.D. et al., Using artificial neural networks for analyzing efficiency of advanced recovery methods, Biosciences biotechnology research Asia, 2015, V. 12, no. 2, pp. 1893–1902, DOI: http://doi.org/10.13005/bbra/1855
