In the qualitative and quantitative assessment of oil and gas reserves contained in reservoir rocks, an important role is played by the assessment of the parameters of their void-pore space. In this work, using the method of internal friction, such a parameter of the sandstone SiO2 reservoir rock as the porosity coefficient was studied. Internal friction method is informative in solving the textural problems of minerals and their internal structure. The measuring of internal friction background after mechanical treatments, temperature, gives information about the changes of the elastic strains fields in rock. The analysis of the elastic anisotropy parameters sandstone rocks SiO2 showed that the rhombic approximation provided the maximum harmonization of the calculated and the experimental data and the efficiency of using the invariant-polarization method to solve the acoustic texture analysis problems. The general conclusions were obtained: researched rocks are represented by fine grains sandstone with grain sizes d ˂ 100 µm the same range of “fast” quasi-transverse ultrasound velocity values, shear module G, Poisson coefficient, quasi-longitudinal ultrasonic velocity, elastic module E, Debye temperature, the open porosity coefficient is high.
Ivanik O., Fonseca J., Shabatura O., Khomenko R., Hadiatska K., Kravchenko D. [2022] An integrated approach for landslide hazard assessment: A case study of the Middle Dnieper Basin, Ukraine. Journal of Water and Land Development, 52, 81-86. DOI: https://doi.org/10.24425/jwld.2021.139947
Ivanik O., Menshov O., Bondar K., Vyzhva S., Khomenko R., Hadiatska K., Kravchenko D., Tustanovska L. [2022] Integrated approach to modelling and assessing the landslide hazards at the regional and local scale in Kyiv urbanized area, Ukraine. Modeling Earth Systems and Environment. DOI: https://doi.org/10.1007/s40808-022-01447-x
Korobiichuk I., Kuzmych L., Kvasnikov V. [2020] The system of the assessment of a residual resource of complex technical structures. MECHATRONICS 2019. Advances in Intelligent Systems and Computing, 1044, 350–357. DOI: https://doi.org/10.1007/978-3-030-29993-4_43
Korobiichuk I., Drevetsky V., Kuzmych L., Kovela I. [2020] The method of multi-criteria parametric optimization. AUTOMATION 2020. Advances in Intelligent Systems and Computing, 1140, 87–97. DOI: https://doi.org/10.1007/978-3-030-40971-5_9
Kuzmych L., Voropay G., Moleshcha N., Babitska O. [2021] Improving water supply capacity of drainage systems at humid areas in the changing climate. Archives of Hydro-Engineering and Environmental Mechanics, 68(1), 29-40. DOI: https://doi.org/10.1515/heem-2021-0003
Onanko A.P., Charnyi D.V., Onanko Y.A., Kulish M.P., Dmytrenko O.P., Popov S.A. [2019] Inelastic, elastic characteristics of SiO2, porous polystyrene and automated system. Conference Proceedings of 18th International Conference on Geoinformatics - Theoretical and Applied Aspects, 2019, 1-5. DOI: https://doi.org/10.3997/2214-4609.201902110
Onanko A.P., Charnyi D.V., Onanko Y.A., Kulish M.P., Dmytrenko O.P., Homenko R.V. [2020] Peculiarity of inelastic properties of sedimentary SiO2, foam polystyrene. Conference Proceedings of Geoinformatics: Theoretical and Applied Aspects 2020, 2020, 1-5. DOI: https://doi.org/10.3997/2214-4609.2020geo040
Onanko A.P., Kuryliuk V.V., Onanko Y.A., Kuryliuk A.M., Charnyi D.V., Dmytrenko O.P., Kulish M.P., Pinchuk-Rugal T.M. [2021] Features of inelastic and elastic characteristics of Si and SiO2/Si structures. Journal of Nano- and Electronic Physics, 13(5), 1-5. DOI: https://doi.org/10.21272/jnep.13(5).05017