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  1. 2019

  2. A case study on receiver-clamping quality assessment from the seismic-interferometry processing of downhole seismic noise recordings

    Yaskevich, S., Duchkov, A. A. & Myasnikov, A., 1 May 2019, In: Geophysics. 84, 3, p. B195-B203 9 p.

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

  3. 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

  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 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

  6. 2020

  7. Количественная оценка содержания гидрата CO2 в лабораторных образцах с помощью двухигольчатого зонда

    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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 2021

  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

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