№79-22
Mathematical model of drilling mud filtration in a porous medium taking into account dynamic changes in parameters
O. Pashchenko1, Ye. Koroviaka1, V. Khomenko1, O. Davydenko1
1Dnipro University of Technology,Dnipro, Ukraine
Coll.res.pap.nat.min.univ. 2024, 79:249–261
Full text (PDF)
https://doi.org/10.33271/crpnmu/79.249
ABSTRACT
Purpose. The aim of the study is to develop a mathematical model of drilling mud filtration in a cellular medium, taking into account dynamic changes in its parameters and interaction with rocks.
Methods. Analytical and numerical modeling methods were used to study filtration processes, including a system of differential equations, a modified Darcy's law, the continuity equation, and viscosity dependence on pressure. The numerical solution was implemented using the finite difference method, which effectively describes the dynamic filtration processes. The effects of time, temperature, and solid phase concentration on changes in the permeability of the porous medium were considered. Model verification was performed by comparing the obtained results with experimental data.
Results. The proposed model accounts for nonlinear effects associated with changes in viscosity, permeability, and pressure gradient under real drilling conditions. An analysis was conducted on the impact of temperature, mechanical, and chemical clogging on the filtration process. The formation of a filter cake on the wellbore walls and its impact on drilling mud circulation losses were investigated. A numerical analysis of scenarios involving changes in drilling mud characteristics and their influence on drilling stability was carried out.
Scientific novelty. A mathematical model of drilling mud filtration has been developed, incorporating nonlinear and non-stationary effects not previously considered in classical approaches. The model introduces permeability dependence on time and solid phase concentration, allowing for more accurate predictions of filter cake formation. For the first time, the interrelation between filtration rate and changes in the porous medium structure due to clogging has been examined.
Practical significance. The proposed model can be used to optimize the parameters of the drilling fluid, which will reduce the risks of complications during drilling, such as circulation losses and leachate penetration into the productive layer. The obtained results can be applied in the design of drilling flushing systems and improvement of filtration control methods in the oil and gas industry.
Keywords: filtration, drilling fluid, permeability, viscosity, clogging, mathematical modeling.
References
1. Koroviaka, Ye.A., Mekshun, M.R., Ihnatov, A.O., Ratov, B.T., Tkachenko, Ya.S., & Stavychnyi, Ye.M. (2023). Determining technological properties of drilling muds. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2, 25–32. https://doi.org/10.33271/NVNGU/2023-2/025
2. Khomenko, V.L., Ratov, B.T., Pashchenko, O.A., Davydenko, O.M., & Borash, B.R. (2023). Justification of drilling parameters of a typical well in the conditions of the Samskoye field. IOP Conference Series: Earth and Environmental Science, 1254(2023),012052. https://doi.org/10.1088/1755-1315/1254/1/012052
3. Pavlychenko, A.V., Ihnatov, A.O., Koroviaka, Y.A., Ratov, B.T., & Zakenov, S.T. (2022). Problematics of the issues concerning development of energy-saving and environmentally efficient technologies of well construction. IOP Conference Series: Earth and Environmental Science, 1049 (2022),012031. https://doi.org/10.1088/1755-1315/1049/1/012031
4. García-Chan, N., Alvarez-Vázquez, L. J., Martínez, A., & Vázquez-Méndez, M. E. (2025). A nonconservative macroscopic traffic flow model in a two-dimensional urban-porous city. Mathematics and Computers in Simulation, 233, 60–74. https://doi.org/10.1016/j.matcom.2025.01.016
5. Chudyk, I.I., Femiak, Ya.M., Orynchak, M.I., Sudakov, A.K., & Riznychuk, A.I. (2021). New methods for preventing crumbling and collapse of the borehole walls. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 4, 17–22. https://doi.org/10.33271/nvngu/2021-4/017
6. Davydenko, A.N., Kamyshatsky, A.F., & Sudakov, A.K. (2015). Innovative technology for preparing washing liquid in the course of drilling. Science and Innovation, 11(5), 5–13. https://doi.org/10.15407/scine11.05.005
7. Pashchenko, O., Khomenko, V., Ishkov, V., Koroviaka, Y., Kirin, R., & Shypunov, S. (2024). Protection of drilling equipment against vibrations during drilling. IOP Conference Series: Earth and Environmental Science, 1348 (2024) 012004. https://doi.org/10.1088/1755-1315/1348/1/012004
8. Pashchenko, O., Ratov, B., Khomenko, V., Gusmanova, A., & Omirzakova, E. (2024). Methodology for optimizing drill bit performance. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 24(1.1), 623–631. https://doi.org/10.5593/sgem2024/1.1/s06.78
9. Mamatova, H., Eshkuvatov, Z., & Ismail, S. (2025). Homotopy perturbation method for semi-bounded solution of the system of Cauchy-type singular integral equations of the first kind. Journal of Advanced Research in Applied Sciences and Engineering Technology, 51(2), 124–137. https://doi.org/10.37934/araset.51.2.124137
10. Al-Obaidi, A. K., Majdi, H. Sh., Jweeg, M. J., Hadi, F. A., Jasim, D. J., & Ellafi, A. (2024). Artificial intelligence for real-time prediction of rheological drilling mud properties. Iraqi Geological Journal, 57(1), 147–161. https://doi.org/10.46717/igj.57.1E.10ms-2024-5-21
11. Ali, I., Ahmad, M., & Lashari, N. (2024). Optimizing filtration properties of water-based drilling mud systems using dually modified starch. Journal of Cleaner Production, 454, 142022. https://doi.org/10.1016/j.jclepro.2024.142022
12. Wiedemann, D., & Peter, M. A. (2025). A Darcy law with memory by homogenisation for evolving microstructure. Journal of Mathematical Analysis and Applications, 546(2), 129222. https://doi.org/10.1016/j.jmaa.2025.129222
13. Ramadan, A. M., Osman, A., Mehanna, A., Shehata, A. I., & Shehadeh, M. (2024). Simulation of filter-cake formations on vertical and inclined wells under elevated temperature and pressure. SPE Journal, 29(5), 2212–2224. https://doi.org/10.2118/219446-PA
14. Duan, Y., Dong, X., Yang, H., Fan, Y., Ma, X., & Lin, W. (2024). Study of solid-liquid two-phase flow model of drilling fluids for analyzing mud cake formation. Geoenergy Science and Engineering, 236, 212761. https://doi.org/10.1016/j.geoen.2024.212761
15. Huang, H., Li, J., Gao, R., Zhang, G., Yang, H., Chen, W., Luo, M., & Li, W. (2023). Investigation of the mechanisms and sensitivity of wellbore breathing effects during drilling in deepwater shallow formations. Ocean Engineering, 269, 113405. https://doi.org/10.1016/j.oceaneng.2022.113405
16. Pashchenko, O.A., Khomenko, V.L., Ratov, B.T., Koroviaka, Ye.A., & Rastsvietaiev, V.O. (2024). Comprehensive approach to calculating operational parameters in hydraulic fracturing. ICSF-2024. IOP Conf. Series: Earth and Environmental Science 1415(2024), 012080. https://doi.org/10.1088/1755-1315/1415/1/012080
17. Davydenko, O., Ratov, B., & Ighnatov, A. (2016). Determination of basic calculation and experimental parameters of device for bore hole cleaning. Mining of Mineral Deposits, 10(3), 52–58. https://doi.org/10.15407/mining10.03.052
18. Oseh, J. O., Norddin, M. N. A. M., Ismail, I., Duru, U. I., Gbadamosi, A. O., Agi, A., Ngouangna, E. N., Blkoor, S. O., Yahya, M. N., & Risal, A. R. (2023). Rheological and filtration control performance of water-based drilling muds at different temperatures and salt contaminants using surfactant-assisted novel nanohydroxyapatite. Geoenergy Science and Engineering, 228, 211994. https://doi.org/10.1016/j.geoen.2023.211994
19. Wang, D., Qiu, Z., Miao, H., Geng, T., Zhong, H., Zhao, X., & Fan, L. (2022). Study on property control of high-density drilling fluids based on modified Alferd model. Drilling Fluid and Completion Fluid, 39(6), 692–699. https://doi.org/10.12358/j.issn.1001-5620.2022.06.005