1. 2022
  2. Convolution neural network application for first-break picking for land seismic data

    Loginov, G. N., Duchkov, A. A., Litvichenko, D. A. & Alyamkin, S. A., Sept 2022, In: Geophysical Prospecting. 70, 7, p. 1093-1115 23 p.

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

  3. Downhole microseismic data interpretation for media anisotropy evaluation with limited acquisition geometry in Western Siberia

    Yaskevich, S. V., Duchkov, A. A., Kerusov, I. N., Miroshnichenko, D. E. & Loginov, G. N., 1 Aug 2022, In: Interpretation. 10, 3, p. T461-T468

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

  4. The effect of near-surface azimuthal anisotropy on a joint interpretation of seismic and electrical resistivity data

    Yaskevich, S. V., Dergach, P. A., Chernyshov, G. S., Nevedrova, N. N., Sanchaa, A., Shalaginov, A. E., Duchkov, A. A., Gorshkalev, S. B. & Karsten, W., Jun 2022, In: Near Surface Geophysics. 20, 3, p. 279-291 13 p.

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

  5. Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest

    Nikitin, V., Tekawade, A., Duchkov, A., Shevchenko, P. & De Carlo, F., 1 May 2022, In: Journal of Synchrotron Radiation. 29, p. 816-828 13 p.

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

  6. Choosing optimal model parameterization for improving the accuracy of refraction seismic tomography

    Chernyshov, G. S., Duchkov, A. A. & Koulakov, I. Y., Apr 2022, In: Near Surface Geophysics. 20, 2, p. 135-146 12 p.

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

  7. Temperature Dependencies of Compressional Wave Velocity and Attenuation in Hydrate-Bearing Coal Samples

    Dugarov, G. A., Fokin, M. I. & Duchkov, A. A., 2022, Processes in GeoMedia—Volume IV. Springer, p. 149-154 6 p. 13. (Springer Geology).

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

  8. Подход к построению слоистой скоростной модели верхней части разреза по данным времен первых вступлений

    Chernyshov, G. S., Duchkov, A. A., Loginov, G. N., Litvichenko, D. A. & Nikitin, A. A., 2022, In: Neftyanoe khozyaystvo - Oil Industry. 1, p. 26-31 6 p., 7.

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

  9. Поиск оптимальных 2D моделей нейронной сети U-net для решения задачи семантической сегментации томографических изображений гидратосодержащих образцов

    Колесник, Т. О. & Дучков, А. А., 2022, In: Вестник Новосибирского государственного университета. Серия: Информационные технологии. 20, 1, p. 28-46 19 p., 3.

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

  10. 2021
  11. Dynamic in situ imaging of methane hydrate formation in coal media

    Nikitin, V. V., Fokin, M. I., Dugarov, G. A., Drobchik, A. N., Andrade, V. D., Shevchenko, P. D., Manakov, A. Y. & Duchkov, A. A., 15 Aug 2021, In: Fuel. 298, 120699.

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

  12. Acoustic properties of hydrate-bearing coal samples depending on temperature and water saturation type

    Dugarov, G. A., Duchkov, A. A. & Manakov, A. Y., 11 Mar 2021, In: Geophysics. 86, 3, p. U31-U37

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

  13. Localization of microseismic events using physics-informed neural networks for traveltime computation

    Grubas, S., Yaskevich, S. & Duchkov, A., 2021, 82nd EAGE Conference and Exhibition 2021. European Association of Geoscientists and Engineers, p. 5228-5232 5 p. (82nd EAGE Conference and Exhibition 2021; vol. 7).

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

  14. Physics-constrained deep learninig for solving the Eikonal equation

    Grubas, S., Loginov, G. & Duchkov, A., 2021, 82nd EAGE Conference and Exhibition 2021. European Association of Geoscientists and Engineers, p. 2252-2256 5 p. (82nd EAGE Conference and Exhibition 2021; vol. 3).

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

  15. 2020
  16. Traveltime-table compression using artificial neural networks for Kirchhoff-migration processing of microseismic data

    Grubas, S. I., Loginov, G. N. & Duchkov, A. A., 1 Sept 2020, In: Geophysics. 85, 5, p. U121-U128 8 p.

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

  17. Dynamic in-situ imaging of methane hydrate formation and self-preservation in porous media

    Nikitin, V. V., Dugarov, G. A., Duchkov, A. A., Fokin, M. I., Drobchik, A. N., Shevchenko, P. D., De Carlo, F. & Mokso, R., May 2020, In: Marine and Petroleum Geology. 115, 10 p., 104234.

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

  18. Approximate traveltime inversion in downhole microseismic monitoring

    Yaskevich, S., Duchkov, A. A. & Ivanov, Y., 1 Mar 2020, In: Geophysical Prospecting. 68, 3, p. 918-925 8 p.

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

  19. Timing shifts retrieval for the multi-well downhole microseismic monitoring in isotropic and anisotropic (VTI) media

    Yaskevich, S. & Duchkov, A., 1 Jan 2020, p. 3106-3110. 5 p.

    Research output: Contribution to conference › Paper › peer-review

  20. Quantification of Co2 hydrate in laboratory samples using a two-needle probe

    Fadeeva, I. I., Duchkov, A. A., Manakov, A. Y. & Aunov, D. E., 2020, In: Geophysical Research. 21, 2, p. 61-77 17 p.

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

  21. 2019
  22. The comparison of convolution neural network? for localized capturing detection of faults on seismic images

    Lapteva, A., Loginov, G., Duchkov, A. & Alyamkin, S., 3 Jun 2019, 81st EAGE Conference and Exhibition 2019. EAGE Publishing BV, (81st EAGE Conference and Exhibition 2019).

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

  23. The first-break detection for real seismic data with use of convolutional neural network

    Loginov, G., Anton, D., Litvichenko, D. & Alyamkin, S., 3 Jun 2019, 81st EAGE Conference and Exhibition 2019. EAGE Publishing BV, p. 1-5 5 p. (81st EAGE Conference and Exhibition 2019).

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

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