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  1. 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

  2. The connection between fracture growth mechanisms and the effective seismic moment tensor by the numerical geomechanical modeling

    Loginov, G. N., Duchkov, A. A., Stephanov, Y. P. & Myasnikov, A. V., 1 Jan 2017.

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

  3. 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

  4. 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

  5. The S-transform based Automated Picking of Surface Wave Phase Velocity Dispesion Curves

    Yablokov, A., Serdyukov, A., Azarov, A. & Duchkov, A., 1 Jan 2018, 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition: Opportunities Presented by the Energy Transition. European Association of Geoscientists and Engineers, (80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition).

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

  6. The use of the neural network for traveltimes approximation for inhomogeneous velocity models

    Grubas, S., Loginov, G. & Duchkov, A., 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

  7. 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

  8. 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

  9. USE OF REFRACTION FROM COAL SEAM WASHING FOR REDUCING DEVELOPMENT RISKS

    Павлович, Р. Э., Дучков, А. А. & Яскевич, С., 2023, In: Geology and Mineral Resources of Siberia. 2, p. 51-59 9 p.

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

  10. Weak anisotropy media approximation for downhole microseismic data processing

    Yaskevich, S. & Duchkov, A., 17 Aug 2017, In: SEG Technical Program Expanded Abstracts. p. 2883-2887 5 p.

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

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