Preview

Georesources

Advanced search

Influence of geological and technological Parameters on the Efficiency of acid treatments in carbonate reservoirs: Experimental and statistical study

https://doi.org/10.18599/grs.2024.2.2

Abstract

Acid treatment technology has become widespread in the development of carbonate layers in oil fields. Virtually every well in the history of its production has been acid treated downhole, ultimately providing millions of tons of incremental oil production globally. Despite the considerable amount of theoretical and practical research devoted to this technology, the problem of controlling the efficiency of acid treatments remains topical. In this connection, the purpose of this paper is to study the influence of known and available in field conditions geological and technological parameters on the efficiency of acid stimulation in carbonate reservoirs. Laboratory studies (in free volume, filtration and X-ray tomography tests) using two hydrochloric acid compositions and carbonate rock samples of the same geologic age from oil fields of Perm krai to determine the dependencies were performed. Acid treatments were modeled by varying technological parameters (volume, rate and pressure of injection of acid compositions, reaction time of acid with rock) under thermodynamic conditions corresponding to reservoir properties. Statistical processing of empirically obtained data allowed us to note the predominant role of technological parameters to achieve a successful result of acid stimulation. Multivariate statistical models describing the process of formation of acid treatment efficiency in carbonate reservoirs have been developed. It was found that the reservoir stimulation efficiency varies in direct proportion to the increase in the injection pressure of the acid composition and the volume of agent used due to the development of wormholes. The efficiency of acid treatment at dolomite content in the rock is significantly lower, which requires increasing the rate of composition injection and reaction time to achieve the highest stimulation result. Thus, the paper provides a basis for further development of the process of controlling the effectiveness of acid treatments in carbonate reservoirs of oil fields. 

About the Authors

V. А. Novikov
Perm National Research Polytechnic University
Russian Federation

Vladimir A. Novikov – Cand. Sci. (Engineering), Senior Researcher, Department of Oil and Gas Technologies

29, Komsomolskiy av., Perm, 614990



D. A. Martyushev
Perm National Research Polytechnic University
Russian Federation

Dmitriy A. Martyushev – Dr. Sci. (Engineering), Assistant Professor, Department of Oil and Gas Technologies

29, Komsomolskiy av., Perm, 614990



References

1. Adewunmi A.A., Solling Th., Sultan A.S., Saikia T. (2022). Emulsified acid systems for oil well stimulation: A review. Journal of Petroleum Science and Engineering, 208, Part C, 109569. https://doi.org/10.1016/j.petrol.2021.109569

2. Al-Arji H., Al-Azman A., Le-Hussain, F. Regenauer-Lieb K. (2021). Acid stimulation in carbonates: A laboratory test of a wormhole model based on Damköhler and Péclet numbers. Journal of Petroleum Science and Engineering, 203, 108593. https://doi.org/10.1016/j.petrol.2021.108593

3. Alarji H., Alazman A., Regenauer-Lieb K. (2022). The impact of effective tortuosity on carbonate acidizing and the validation of Damköhler and Péclet dimensionless phase space. Journal of Petroleum Science and Engineering, 212, 110313. https://doi.org/10.1016/j.petrol.2022.110313

4. Aljawad M.S., Aboluhom H., Schwalbert M.P., Al-Mubarak A., Alafnan S., Mahmoud M. (2021). Temperature impact on linear and radial wormhole propagation in limestone, dolomite, and mixed mineralogy. Journal of Natural Gas Science and Engineering, 93, 104031. https://doi.org/10.1016/j.jngse.2021.104031

5. Alkathim M., Aljawad M.S., Hassan A., Alarifi S.A., Mahmoud M. (2023). A data-driven model to estimate the pore volume to breakthrough for carbonate acidizing. Journal of Petroleum Exploration and Production Technology, 13, pp. 1789–1806. https://doi.org/10.1007/s13202-023-01642-1

6. Davletshina L.F., Tolstykh L.I., Mikhailova P.S. (2016). About reliance on analysis of hydrocarbons behavior for improvement of the acidizing effectiveness. Territoriya Neftegaz, 16, pp. 90–96. (In Russ.)

7. Efimov A.A, Savitskiy Ya.V., Galkin S.V., Soboleva E.V., Gurbanov V.Sh. (2016). Study of wettability of reservoirs of oil Fields by the method of X-ray tomography core. SOCAR Proceedings, 4, pp. 55–63. (In Russ.)

8. Furui K., Abe T., Watanabe T., Yoshioka K. (2022). Phase-field modeling of wormhole formation and growth in carbonate matrix acidizing. Journal of Petroleum Science and Engineering, 209, 109866. https://doi.org/10.1016/j.petrol.2021.109866

9. Galkin V.I. Koltyrin A.N. (2019). Research and analysis of methods for determining the efficiency of application of the proppant hydraulic fracturing. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 330 (11), pp. 50–58. (In Russ.) https://doi.org/10.18799/24131830/2019/11/2347

10. Galkin V.I., Ponomareva I.N., Chernykh I.A., Filippov E.V., Chumakov G.N. (2019). Methodology for estimating downhole pressure using multivariate model. Neftyanoe Khozyaystvo = Oil industry, 1, pp. 40–43. (In Russ.) https://doi.org/10.24887/0028-2448-2019-1-40-43

11. Garrouch A.A., Jennings A.R. (2017). A contemporary approach to carbonate matrix acidizing. Journal of Petroleum Science and Engineering, 158, pp. 129–143. https://doi.org/10.1016/j.petrol.2017.08.045

12. Glushchenko V.N. (2008). The functional role of surfactants in acid compositions. Geologiya, geofizika i razrabotka neftyanykh i gazovykh mestorozhdeniy, 2, pp. 27–35. (In Russ.)

13. Guo J., Gou B., Qin N., Zhao J., Wu L., Wang K., Ren J. (2020). An innovative concept on deep carbonate reservoir stimulation: three-dimensional acid fracturing technology. Natural Gas Industry B, 7(5), pp. 484–497. https://doi.org/10.1016/j.ngib.2020.09.006

14. Jamaloei B.Y. (2021). A critical review of common models in hydraulic- fracturing simulation: a practical guide for practitioners. Theoretical and Applied Fracture Mechanics, 113, 102937. https://doi.org/10.1016/j. tafmec.2021.102937

15. Jia C., Supehnoori K., Huang Z., Zhang H., Yao J. (2021). Numerical studies and analysis on reactive flow in carbonate matrix acidizing. Journal of Petroleum Science and Engineering, 201, 108487. https://doi.org/10.1016/j.petrol.2021.108487

16. Kalhori P., Abbasi A., Malayeri M.R., Shirazi M.M. (2022). Impact of crude oil components on acid sludge formation during well acidizing. Journal of Petroleum Science and Engineering, 215, Part B, 110698. https://doi.org/10.1016/j.petrol.2022.110698

17. Kazantsev A.S. (2021). Methodology for modeling treatments of the bottom hole formation zone with acid compositions based on a hydrodynamic model in the conditions of layer-by-layer heterogeneous Bashkir carbonate deposits of Perm region fields. Neftyanoe Khozyaystvo = Oil industry, 8, pp. 58–62. (In Russ.) https://doi.org/10.24887/0028-2448-2021-8-58-62

18. Kharisov R.Ia., Folomeev A.E., Bulgakova G.T., Telin A.G. (2011). The complex approach to the choice of the optimum acid composition for well stimulation in carbonate. Neftyanoe Khozyaystvo = Oil industry, 2, pp. 78–82. (In Russ.)

19. Khizhnyak G.P., Ponomareva I.N., Amirov A.M., Ilyushin P.Yu., Glushchenko V.N., Ptashko O.A. (2013). Filtration studies of new compounds for the treatment of acid carbonate reservoirs. Neftyanoe Khozyaystvo = Oil industry, 11, pp. 116–119. (In Russ.)

20. Khuzin R.A., Khizhnyak G.P. (2019). Laboratory research of acid concentration and injection rate on wormholing process under reservoir conditions. Bulletin of PNRPU. Geology. Oil & Gas Engineering & Mining, 19 (4), pp. 356–372. (In Russ.)

21. Kozikhin R.A., Daminov A.M., Fattakhov I.G., Gabbasov A.Kh., Veliyev E.F., Kuleshova L.S., Safiullina A.R., Kobishcha D.I., Gabzalilova A.Kh., Akhmetshina D.I. (2021). Assessment of the acid treatments impact on the reservoir. Neftegazovoe delo, 19 (5), pp. 84–94. (In Russ.) https://doi.org/10.17122/ngdelo-2021-5-84-94

22. Lutfullin A.A., Abusalimov E.M., Folomeev A.E., Khatmullin A.R., Sharifullin A.R., Sitdikov M.R. (2022). Complex matrix treatment technologies selection and adaptation for the injection wells of the Republic of Tatarstan oilfields. Georesursy = Georesources, 24(4), pp. 91–101. https://doi.org/10.18599/grs.2022.4.8

23. Luzina D.V., Krivoshchekov S.N. (2012). Analysis of facial zones and collecting properties Tournaisian-Famennian reef buildings of Solikamskaya depression. Bulletin of PNRPU. Geology. Oil & Gas Engineering & Mining, 5, pp. 7–15. (In Russ.)

24. Machado A.C., Oliveira T.J.L., Cruz F.B., Lopez R.T., Lima I. (2015). X-ray microtomography of hydrochloric acid propagation in carbonate rocks. Applied Radiation and Isotopes, 96, pp. 129–134. https://doi.org/10.1016/j.apradiso.2014.10.027

25. Mann H.B., Whitney D.R. (1947). On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics, 18(1), pp. 50–60. https://doi.org/10.1214/aoms/1177730491

26. Martyushev D.A., Govindarajan S.K., Li Y., Yang Y. (2022). Experimental study of the influence of the content of calcite and dolomite in the rock on the efficiency of acid treatment. Journal of Petroleum Science and Engineering, 208, Part E, 109770. https://doi.org/10.1016/j.petrol.2021.109770

27. Martyushev D.A., Novikov V.A. (2020). Improving acidizing in the collectors characterized by different carbonate content (on the example of oil fields of Perm krai). Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 331 (9), pp. 7–17. (In Russ.) https://doi.org/10.18799/24131830/2020/9/2800

28. Martyushev D.A., Vinogradov J. (2021). Development and application of a double action acidic emulsion for improved oil well performance: laboratory tests and field trials. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 612, 125998. https://doi.org/10.1016/j.colsurfa.2020.125998

29. Mohammad Almohammad Alnayef, Zain Alabidin Dalfi Abd Ali Khalaf, Gnidan E.V. (2023). Experience of using acid treatments in the oil field Suwaydiya (Syria). Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 334(7), рр. 50–58. (In Russ.) https://doi.org/10.18799/24131830/2023/7/4015

30. Mohammadi S., Shahbazi K. (2023). A comprehensive review on acid- induced sludge formation during matrix acidizing: nature, mechanism, and effective parameters. Geoenergy Science and Engineering, 229, 21250. https://doi.org/10.1016/j.geoen.2023.212150

31. Mordvinov V.A. (2011). The influence mechanism of hydrochlorid-acid solutions on a carbonate collector. Neftyanoe Khozyaystvo = Oil industry, 1, pp. 44–46. (In Russ.)

32. Novikov V.A. (2021). Method for forecasting the efficiency of matrix acid treatment of carbonate. Perm Journal of Petroleum and Mining Engineering, 32 (3), pp. 137–143. (In Russ.) https://doi.org/10.15593/2712-8008/2021.3.6

33. Novikov V.A., Martyushev D.A., Li Y., Yang Y. (2022). A new approach for the demonstration of acidizing parameters of carbonates: experimental and field studies. Journal of Petroleum Science and Engineering, 213, 110363. https://doi.org/10.1016/j.petrol.2022.110363

34. Ponomareva I.N., Galkin V.I. (2020). Application of a multilevel statistical modeling for evaluating the interaction between injection and production wells. Neftepromyslovoe delo, 4 (616), pp. 6–9. (In Russ.) https://doi.org/10.30713/0207-2351-2020-4(616)-6-9

35. Ponomareva I.N., Galkin V.I., Martyushev D.A. (2021). Operational method for determining bottom hole pressure in mechanized oil producing wells, based on the application of multivariate regression analysis. Petroleum Research, 6(4), pp. 351–360. https://doi.org/10.1016/j.ptlrs.2021.05.010

36. Putilov I., Krivoshchekov S., Vyatkin K., Kochnev A., Ravelev K. (2020). Methods of predicting the effectiveness of hydrochloric acid treatment using hydrodynamic simulation. Applied Sciences, 10(14), 4828. https://doi.org/10.3390/app10144828

37. Shatalova N. V., Apasov T. K., Shatalov A. V., Grigoriev B. V. (2022). Renovation method of restoring well productivity using wavefields. Journal of Mining Institute, 258, 986-997. https://doi.org/10.31897/PMI.2022.108

38. Shirazi M.M., Ayatollahi S., Ghotbi C. (2019). Damage evaluation of acid-oil emulsion and asphaltic sludge formation caused by acidizing of asphaltenic oil reservoir. Journal of Petroleum Science and Engineering, 174, pp. 880–890. https://doi.org/10.1016/j.petrol.2018.11.051

39. Solomon M.M., Uzoma I.E., Olugbuyiro J.A.O., Ademosun O.T. (2022). A censorious appraisal of the oil well acidizing corrosion inhibitors. Journal of Petroleum Science and Engineering, 215, Part B, 110711. https://doi.org/10.1016/j.petrol.2022.110711

40. Yoo H., Kim Y., Jang H., Lee J. (2021). Propagation characteristics of optimum wormhole in carbonate matrix acidizing using micro X-ray CT imaging. Journal of Petroleum Science and Engineering, 196, 108010. https://doi.org/10.1016/j.petrol.2020.108010

41. Zhang L., He J., Wang H., Li Zh., Zhou F., Mou J. (2021). Experimental investigation on wormhole propagation during foamed-VES acidizing. Journal of Petroleum Science and Engineering, 198, 108139. https://doi.org/10.1016/j.petrol.2020.108139


Review

For citations:


Novikov V.А., Martyushev D.A. Influence of geological and technological Parameters on the Efficiency of acid treatments in carbonate reservoirs: Experimental and statistical study. Georesursy = Georesources. 2024;26(2):76–91. (In Russ.) https://doi.org/10.18599/grs.2024.2.2

Views: 739


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1608-5043 (Print)
ISSN 1608-5078 (Online)