11 - 20 out of 41Page size: 10
Sort by: Title

  1. Transient electromagnetic monitoring of the cryolithozone: mathematical modeling

    Эпов, М. И., Глинских, В. Н., Нечаев, О. В., Даниловский, К. Н. & Михайлов, И. В., 1 Jan 2025, In: Russian Geology and Geophysics. 66, 1, p. 111-117 7 p., 8.

    Research output: Contribution to journal › Article › peer-review

  2. Theoretical basis of data interpretation of electromagnetic logging tool with toroidal coils

    Epov, M. I., Nikitenko, M. N., Glinskikh, V. N., Surodina, I. V., Mikhaylov, I. V., Eremin, V. N. & Petrov, A. N., 2018, Saint Petersburg 2018: Innovations in Geosciences � Time for Breakthrough. European Association of Geoscientists and Engineers, 44489. (Saint Petersburg 2018: Innovations in Geosciences - Time for Breakthrough).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  3. The material composition and dispersion properties of unconventional reservoir according to electromagnetic sounding

    Yu, T. E., Fedoseev, A. A. & Glinskikh, V. N., 2020, In: SEG Technical Program Expanded Abstracts. 2020, p. 1170-1174 5 p.

    Research output: Contribution to journal › Conference article › peer-review

  4. Relation of NMR parameters with specific surface and resistivity of shaly sandstone and siltstone samples: experimental study

    Shumskayte, M. Y. & Glinskikh, V. N., 1 Oct 2016, In: Russian Geology and Geophysics. 57, 10, p. 1509-1514 6 p.

    Research output: Contribution to journal › Article › peer-review

  5. Numerical inversion of electrologging data in higly deviated and horizontal boreholes

    Nikitenko, M. N., Glinskikh, V. N., Suhorukova, K. V. & Epov, M. I., 2016, Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development. European Association of Geoscientists and Engineers, (Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. NMR study of bitumoids from oil-bearing formation rocks in the western Siberia

    Turakhanov, A. & Glinskikh, V., 2017, In: International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 17, 14, p. 757-762 6 p.

    Research output: Contribution to journal › Article › peer-review

  7. Nmr-relaxometry laboratory study of fluids taken from boreholes

    Shumskayte, M. Y., Glinskikh, V. N., Bortnikova, S. B., Kharitonov, A. N. & Permyakov, V. S., 1 Jan 2017, In: Известия Томского политехнического университета. Инжиниринг георесурсов. 328, 2, p. 59-66 8 p.

    Research output: Contribution to journal › Article › peer-review

  8. Modern methods of well log data interpretation for a new content about the pre-jurassic deposits of pre-yenisey basin

    Kayurov, N. K., Glinskikh, V. N. & Sukhorukova, K. V., 2016, Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development. European Association of Geoscientists and Engineers, (Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. Mathematical and physical simulation of responses of an electromagnetic logging tool for studying macroanizotropy of sedimentary deposits

    Epov, M. I., Nikitenko, M. N., Mikhaylov, I. V., Glinskikh, V. N., Petrov, A. N., Surodina, I. V. & Eremin, V. N., 2017, Geomodel 2017 - 19th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development. European Association of Geoscientists and Engineers, (Geomodel 2017 - 19th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development; vol. 2017-September).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  10. Machine learning for studying mineral-component composition of the Bazhenov Formation based on well-logging and core data

    Temnikova, E. Y., Grubas, S. I. & Glinskikh, V. N., Dec 2021, In: Neftyanoe khozyaystvo - Oil Industry. 12, p. 88-91 4 p., 17.

    Research output: Contribution to journal › Article › peer-review

Previous 1 2 3 4 5 Next

ID: 3443817