1. Bear J. Dynamics of Fluids in Porous Media. — New York : Elsevier, 1972. — 764 p.
2. Eggers G., Klein J., Welzel T., et al. Geometric accuracy of digital volume tomography and conventional computed tomography // British Journal of Oral and Maxillofacial Surgery. — 2008. — Vol. 46, no. 8. — P. 639–644. — https://doi.org/10.1016/j.bjoms.2008.03.019
3. Ganzer L., Qi M., Schatzmann S., et al. Evaluation of digital rock methodology to complement rock laboratory experiments // Oil Gas European Magazine. — 2013. — Vol. 39. — P. 43–47.
4. Hasiuk F., Ishutov S. and Pacyga A. Validating 3D-printed porous proxies by tomography and porosimetry // Rapid Prototyping Journal. — 2018. — Vol. 24, no. 3. — P. 630–636. — https://doi.org/10.1108/RPJ-06-2017-0121
5. Honarpour M. M., Cromwell V., Hatton D., et al. Reservoir Rock Descriptions Using Computed Tomography (CT) // SPE Annual Technical Conference and Exhibition. — SPE, 1985. — https://doi.org/10.2118/14272-ms
6. Khimulia V. V. Digital Examination of Pore Space Characteristics and Structural Properties of a Gas Condensate Field Reservoir on the Basis of 𝜇CT Images // Proceedings of the 9th International Conference on Physical and Mathematical Modelling of Earth and Environmental Processes (PMMEEP 2023) / ed. by V. Karev. — Cham : Springer, 2024. — (Springer Proceedings in Earth and Environmental Sciences). — https://doi.org/10.1007/978-3-031-54589-4_3
7. Khimulia V. V. and Karev V. I. Pore-Scale Computational Study of Permeability and Pore Space Geometry in Gas Condensate Reservoir Rocks // Proceedings of the 9th International Conference on Physical and Mathematical Modelling of Earth and Environmental Processes (PMMEEP 2023) / ed. by V. Karev. — Cham : Springer, 2024. — (Springer Proceedings in Earth and Environmental Sciences). — https://doi.org/10.1007/978-3-031-54589-4_26
8. Khimulia V. V., Kovalenko Y., Karev V., et al. Determination of well stability and sand risk minimization parameters for gas condensate field conditions using geomechanical and CT-based approaches // Journal of Rock Mechanics and Geotechnical Engineering. — 2025. — Vol. 18, no. 2. — P. 1570–1586. — https://doi.org/10.1016/j.jrmge.2025.02.017
9. Kim F. H., Penumadu D., Schulz V. P., et al. Pore Size Distribution and Soil Water Suction Curve from Micro-tomography Measurements and Real 3-D Digital Microstructure of a Compacted Granular Media by Using Direct Numerical Simulation Technique // Multiphysical Testing of Soils and Shales. — Springer Berlin Heidelberg, 2013. — P. 171– 176. — https://doi.org/10.1007/978-3-642-32492-5_20
10. Kobranova V. N. Petrophysics. Textbook for universities. — 2nd. — Moscow : Nedra, 1986. — 392 p. — (In Russian).
11. Kozhevnikov E. V., Turbakov M. S. and Riabokon E. P. A Model of Reservoir Permeability Evolution during Oil Production // Energies. — 2021. — Vol. 14, no. 9. — P. 2695. — https://doi.org/10.3390/en14092695
12. Kyle J. R. and Ketcham R. A. Application of high resolution X-ray computed tomography to mineral deposit origin, evaluation, and processing // Ore Geology Reviews. — 2015. — Vol. 65. — P. 821–839. — https://doi.org/10.1016/j.oregeorev.2014.09.034
13. Labati R. D., Genovese A., Munoz E., et al. 3-D Granulometry Using Image Processing // IEEE Transactions on Industrial Informatics. — 2019. — Vol. 15, no. 3. — P. 1251–1264. — https://doi.org/10.1109/tii.2018.2856466
14. Li Y., Liu C., Bao W., et al. Oil Production Optimization by Means of a Combined "Plugging, Profile Control, and Flooding" Treatment: Analysis of Results Obtained Using Computer Tomography and Nuclear Magnetic Resonance // Fluid Dynamics & Materials Processing. — 2022. — Vol. 18, no. 3. — P. 737–749. — https://doi.org/10.32604/fdmp.2022.019139
15. Al-Marzouqi H. Digital Rock Physics: Using CT Scans to Compute Rock Properties // IEEE Signal Processing Magazine. — 2018. — Vol. 35, no. 2. — P. 121–131. — https://doi.org/10.1109/msp.2017.2784459
16. Moreno-Atanasio R., Williams R. A. and Jia X. Combining X-ray microtomography with computer simulation for analysis of granular and porous materials // Particuology. — 2010. — Vol. 8, no. 2. — P. 81–99. — https://doi.org/10.1016/j.partic.2010.01.001
17. Palmer A. and Croasdale K. Arctic Offshore Engineering. — World Scientific, 2013. — 538 p.
18. Qian Y., Gao P., Fang X., et al. Microstructure characterization techniques for shale reservoirs: A review // Frontiers in Earth Science. — 2022. — Vol. 10. — https://doi.org/10.3389/feart.2022.930474
19. Razina I. S., Semenova S. G., Sattarov A. G., et al. Application of microtomography for the study of new materials. A review // Vestnik Kazanskogo Tekhnologicheskogo Universiteta. — 2013. — Vol. 16, no. 19. — P. 163–169. — (In Russian).
20. Skolotnev S. G., Freiman S. I., Khisamutdinova A. I., et al. Sedimentary Rocks in the Basement of the Alpha-Mendeleev Rise, Arctic Ocean // Lithology and Mineral Resources. — 2022. — Vol. 57, no. 2. — P. 121–142. — https://doi.org/10.1134/s0024490222020079
21. Stull K. E., Tise M. L., Ali Z., et al. Accuracy and reliability of measurements obtained from computed tomography 3D volume rendered images // Forensic Science International. — 2014. — Vol. 238. — P. 133–140. — https://doi.org/10.1016/j.forsciint.2014.03.005
22. Vasiliev Yu. N. New filtration equation taking into account the impact of connate water and one-side open pores on gas movement in a productive reservoir // Vesti Gazovoy Nauki: collected scientific technical papers. — 2014. — No. 4. — P. 4–15. — (In Russian).
23. Wevers M., Nicolaï B., Verboven P., et al. Applications of CT for Non-destructive Testing and Materials Characterization // Industrial X-Ray Computed Tomography. — Springer International Publishing, 2017. — P. 267–331. — https://doi.org/10.1007/978-3-319-59573-3_8