Modeling of oil production in the deposits of geosoliton type

Authors

DOI:

https://doi.org/10.33271/crpnmu/85.102

Keywords:

computer modeling, combined finite-element-difference method, deposit of geosoliton type, oil recovery increasing

Abstract

Purpose. Investigation of the optimal placement of oil-producing wells in the branches of the geosoliton-type deposit. The method of investigation. The numerical modeling of the pressure distribution around production wells in heterogeneous isotropic oil-bearing branches (layers) of the geosoliton is carried out using the combined finite-element-difference method. Results. We have obtained the regularities of pressure distribution in the branches of the geosoliton at different filtration parameters and different locations of the wells.We haveshown that oil infiltration coefficients less than 0.001 m quickly lead to depletion of the layers.The location of the production wells relatively the length of the geosoliton layers under other satisfactory production conditions practically does not affect to the intensity of oil recovery.Wehave established the dominant influence of the permeability of the oil phase in the geosoliton layers on the filtration intensity and, accordingly, oil recovery in the layers, while a permeability coefficient of less than 0.02 D leads to rapid depletion of the geosoliton layers. The originality. For the first time, on the base of numerical modeling using a combined finite element-difference method, pressure distributions in the branches of the geosoliton were established at different filtration parameters and different well locations.We haveshown that oil infiltration coefficients less than 0.001 m quickly lead to depletion of the layers.The location of the production wells relatively the length of the geosoliton layers at the other satisfactory production conditions has practically no effect on the intensity of oil recovery. Practical implementation. The obtained results have showed that the permeability of the oil phase in geosoliton layers has a dominant effect on the filtration intensity and, accordingly, on oil recovery of the layers, while a permeability coefficient less than 0.02 D leads to rapid depletion of the geosoliton layers.

References

1. Megerja, V. M., Filatov, V. G., & Starostenko, V. I. (2012). Possibilities and perspectives for the application of non-seismic methods for the search for hydrocarbon accumulations and the geosoliton concept of their formation. Geofiz. zhurn . , 34 (3), 4–21.

2. Starostenko, V. I., Rusakov, O. M., & Pashkevich, I. K. (2015). Tectonics and hydrocarbon potential of the crystalline basement of the Dnieper-Donetsk Depression. Galaktika.

3. Лубков,М. В. (2017). Тектоніка геосолітонових родовищ нафти і газу. Геоінформатика , 61 (1), 26–32.

4. Lukin, A. E., & Pikovskic, Ju. M. (2004). About the role of deep and superdeep fluids in oil formation. Geol. zhurn., 2 , 21–33.

5. Esmaeilpour, M., Ghanbarian, B., & Liang, F. (2021) Scale-dependent permeability and formation factor in porous media: Applications of percolation theory. Fuel, 301 , 121090. https://doi:org/10.1016/j.fuel.2021.121090

6. Chung, T., Da Wang, Y., & Armstrong, R. T. (2021). Minimising the impact of sub-resolution features on fluid flow simulation in porous media. Journal of Petroleum Science and Engineering. 207 , 109055. https://doi:org/10.1016/j.petrol.2021.109055

7. Kmec, J., Fürst, T., & Vodák, R. (2021). A two dimensional semi-continuum model to explain wetting front instability in porous media. Scientific reports. 11 (1), 1–13. https://doi:org/10.1038/s41598-021-82317-x

8. Сhen, Z., Huan, G., & Ma, Y. (2006). Computational methods for multiphase flows in porous media. Society for Industrial and Applied Mathematics.

9. Ertekin, T., Abou-Kassem, J. H., & King, G. R. (2001). Basic applied reservoir simulation . Richardson.

10. Kor, K., Ertekin, S., & Yamanlar, S. (2021). Penetration rate prediction in heterogeneous formations: A geomechanical approach through machine learning. Journal of Petroleum Science and Engineering. 207 , 109138. https://doi:org/10.1016/j.petrol.2021.109138

11. Lubkov, M. V., & Zacharchuk, O. O. (2019). Modeling of oil filtration processes near production well. Paper presented at the 18th International Conference "Geoinformatics: Theoretical and Applied Aspects", Geoinformatics. Kuyv . https://doi:org/10.3997/2214-4609.201902015

Published

2026-06-30

Issue

Section

ГІРНИЦТВО ТА НАФТОГАЗОВІ ТЕХНОЛОГІЇ