Article

Possibilities of lithological and stratigraphic division of geological sections based on natural gamma ray spectrometry

Oleksandr Trubenko, Dmytro Fedoryshyn, Serhii Fedoryshyn
Abstract

Establishing the geological structure of complex sedimentary sections in oil- and gas-bearing areas of Ukraine, specifically their lithological and stratigraphic division, is quite challenging and often ambiguous when interpreting the sequence of sedimentary rock layers. The aim of the work was to study the possibility of lithological and stratigraphic division of a geological section based on the results of natural gamma-ray spectrometry in the interval of the boundaries between the Tournaisian and Visean deposits within the Plyskiv-Lysohorskyi outcrop of the crystalline basement of the Dnipro-Donets Basin. The methodology for studying the boundaries between the Tournaisian and Visean deposits was based on the results of the distribution of the concentration of radioactive isotopes of natural gamma radiation obtained directly during the drilling of exploration and prospecting wells. In addition, core material was taken from the Visean and Tournaisian stages of the Lower Carboniferous coal deposits, and its lithological and petrographic study was carried out by macroscopic description of core samples, preparation and description of thin sections, as well as X-ray structural and gamma-spectrometric analyses of the material composition of the sample collection. In general, the quantitative presence of natural radioactive elements was determined. Based on the results of these comprehensive geological and geophysical studies, it was established that the distribution of natural radioactive elements in the intervals of deposit occurrence depends on the lithological composition of the rocks and, accordingly, changes in the conditions of the sedimentation, which causes changes in the distribution of radioactive elements. Therefore, this particular feature of the structure can be used to trace the boundaries of lithotype distribution in horizons of different stratigraphic thicknesses. Considering that the radioactivity of polymictic rocks was characterised by a significant cumulative effect, and was caused by the increased radioactivity of the rock matrix skeleton and the clay material that fills the intergranular space. Therefore, it is advisable to determine clay content using gamma-ray spectrometry results based on the concentration of potassium-40 or gamma logging data. The introduction of such approaches not only facilitates the identification of boundaries between deposits but also enables the reconstruction of the physical and geological conditions under which the sedimentation of different lithotypes of rock was deposited

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Received 13.06.2025

Revised 28.10.2025

Accepted 08.12.2025

https://doi.org/10.63341/pdogf/2.2025.10
Retrieved from Vol. 25, No. 2, 2025
Pages 10-21

Suggested citation

Trubenko, O., Fedoryshyn, D., & Fedoryshyn, S. (2025). Possibilities of lithological and stratigraphic division of geological sections based on natural gamma ray spectrometry. Prospecting and Development of Oil and Gas Fields, 25(2), 10-21. https://doi.org/10.63341/pdogf/2.2025.10

References

  1. Amartey, E.O., Akiti, T.T., Armah, T., Osae, S., & Agyekum, W.A. (2016). Integrating gamma log and conventional electrical logs to improve identification of fracture zones in hard rocks for hydrofracturing: A case study from Ghana. Applied Water Science, 7(3), 1091-1098. doi: 10.1007/s13201-016-0450-z.
  2. Bezrodna, I.M., & Gozhyk, A.P. (2018). Petrophysics. Kyiv: Kyiv University Publishing House.
  3. Danylchenko, S.M., Kuznetsov, V.M., & Protsenko, I.Y. (2019). X-ray diffraction methods for the study of crystalline materials. Sumy: Sumy State University.
  4. Fedak, І.О., & Koval, Y.M. (2020). Lithofacial zoning of producing horizons of oil and gas fields using artificial neural network. Exploration and Development of Oil and Gas Fields, 1, 96-105.
  5. Hrol, V., & Lurie, A. (2021). Criteria for assessment of hydrocarbon saturation of compact sand-aleurite rocks under DDB conditions. Visnyk of V. N. Karazin Kharkiv National University, Series “Geology. Geography. Ecology”, 54, 132-140. doi: 10.26565/2410-7360-2021-54-10.
  6. Iuras, S., Orlyuk, M., Levoniuk, S., Drukarenko, V., & Kruhlov, B. (2023). Unconventional shale gas potential of lower Visean organic-rich formations in Glynsko-Solohivskyi petroleum region. Geodynamics, 34(1), 80-96. doi: 10.23939/jgd2023.01.080.
  7. Ivaniuta, M.M. (Ed.). (1998). Atlas of oil and gas fields of Ukraine (Vol. 1). Lviv: Tsentr Yevropy.
  8. Ke, L., Ruan, F., Duan, T., Li, Z., Wang, X., & Zhao, L. (2023). Integrated geomodel accuracy enhancement based on embedded MPS geological modeling for thin interbedded reservoirs. Energies, 16(19), article number 6850. doi: 10.3390/en16196850.
  9. Kurgansky, V.M., & Tishayev, I.V. (2011). Electrical and electromagnetic methods of well logging. Kyiv: Kyiv University Publishing and Printing Center.
  10. Lazaruk, Y.G. (2022). Conditions of the formation of slide dislocations of the carboniferous of Dnieper-Donets Basin. In Geological structure and mineral deposits of Ukraine: Abstracts of all-Ukrainian scientific conference (pp. 360-364). Kyiv: NAS of Ukraine.
  11. Lazaruk, Y.H. (2012). Tectonic factors of oil and gas field formation in the northern slope of the Dnieper-Donets Basin. Oil and Gas Industry, 4, 8-11.
  12. Li, W., Li, S., Qu, Q., Zhang, H., Zhao, J., & Dou, M. (2022). A modeling approach for beach-bar sand reservoirs based on depositional mode and sandbody volume. Minerals, 12(8), article number 950. doi: 10.3390/min12080950.
  13. Lukin, O.Yu., Gafych, I.P., Goncharov, H.H., Makogon, V.V., & Prygarina, T.M. (2020). Hydrocarbon potential of Ukraine’s subsoil and main directions of its development. Mineral Resources of Ukraine, 4, 28-38. doi: 10.31996/mru.2020.4.28-38.
  14. Machulina, S.O. (2022). New methodological techniques for studying cycling in carbonate sediments. Scientific Collection “InterConf+”, 22(113), 360-365. doi: 10.51582/interconf.19-20.06.2022.036.
  15. Selley, R.C. (2000). Applied sedimentology (2nd ed.). London: Academic Press.
  16. Shen, B., Li, Z., Wang, D., Ma, M., Meng, X., & Shi, X. (2021). Application of element logging and fitting gamma in formation identification. Mud Logging Engineering, 32(4), 33-36. doi: 10.3969/j.issn.1672-9803.2021.04.006.
  17. Šimíček, D., & Bábek, O. (2015). Spectral gamma-ray logging of the Grès d’Annot, SE France: An outcrop analogue to geophysical facies mapping and well-log correlation of sand‑rich turbidite reservoirs. Marine and Petroleum Geology, 60, 1-17. doi: 10.1016/j.marpetgeo.2014.10.010.
  18. Streltsova, I.O., & Kruhlyk, V.M. (2020). Lithology and paleodepositional environment analysis of permian sediments in connection with oil and gas potential in the South-Khrestyshche area in the Dnieper-Donets Basin. Collection of Scientific Works of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, 13, 89-103. doi: 10.30836/igs.2522-9753.2020.213813.
  19. Stryzhak, L.I. (2021). Lithogenesis and nature of reservoirs of deeply buried lower carboniferous terrigenous sediments of the central part of the Dnipro-Donetsk Basin. (PhD dissertation, Institute of Geological Sciences of the National Academy of Sciences of Ukraine, Kyiv, Ukraine).
  20. Stryzhak, L.І., Aleksieienkova, М.V., & Stryzhak, V.P. (2020). Lithogenesis of terrigenous rocks and its influence on filtration-capacity properties of lower carbon reservoirs in the central part of the Dnieper-Donets Basin. Collection of Scientific Works of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, 13, 80-88. doi: 10.30836/igs.2522-9753.2020.220668.
  21. Volovetskyi, V.B., Romanyshyn, Y.L., Bugai, A.O., Altukhov, S.O., & Shchyrba, O.M. (2024). Development of information and software for automation and digitalisation of processing and analysing geological-geophysical data of underground gas storage wells. Journal of Achievements in Materials and Manufacturing Engineering, 126(2), 66-85. doi: 10.5604/01.3001.0054.9207.
  22. Vysochanskiy, I.V., Yakovlev, A.O., Samchuk, I.M., Volosnyk, Y.Y., Nekrasov, A.O., & Kupchinska, M.V. (2022). Conditions for the formation of non-anticlinal hydrocarbon traps in zones around salt stocks of the south-eastern part of the Dneper-Donetsk Depression. Visnyk of V. N. Karazin Kharkiv National University, Series “Geology. Geography. Ecology”, 56, 24-48. doi: 10.26565/2410-7360-2022-56-02.
  23. Vyzhva, S.A., Onyshchuk, V.I., Onyshchuk, I., & Shabatura, O.V. (2020). Radioactive methods of geophysical research of boreholes. Kyiv: Kyiv University Publishing and Printing Center.
  24. Vyzhva, S.A., Onyshchuk, V.I., Onyshchuk, I.I., & Shabatura, O.V. (2023). Nuclear and geophysical methods of well research. Kyiv: Kyiv University Publishing House.
  25. Wu, W., Zhang, L., Qiu, Y., Wang, G., & Yu, J. (2023). Milankovitch cycle of continental deep-water fine-grained sedimentary rocks in the lower submember of Es3 of Well FY1 in Dongying Sag and its significance for shale oil exploration. Energy Exploration & Exploitation, 41(6), 2140-2160. doi: 10.1177/01445987231181721.
  26. Xia, L., Zhao, Y., Hu, Y., Wang, J., Yuan, R., & Kan, L. (2021). Lithology identification method based on characteristic map of sensitive elements. Mud Logging Engineering, 32(4), 47-52. doi: 10.3969/j.issn.1672-9803.2021.04.009.
  27. Yemets, L. (2024). Application of geological and technological research data to correlate and clarify the structure of the Kamyshnya field. Visnyk of the Lviv University. Series Geology, 38, 178-184. doi: 10.30970/vgl.38.14.
  28. Zhong, Q., et al. (2024). Distribution characteristics and hydrocarbon significance of deep-water fine-grained sedimentary rocks in the steep-slope zone of a graben lake basin: A case study of Es3l sub-member in the Jiyang Depression, Bohai Bay Basin, China. Minerals, 14(9), article number 882. doi: 10.3390/min14090882.