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  1. 2022

  2. Accelerated deep learning-based estimation of wavefront dips and curvatures and their application to 3D prestack data enhancement

    Gadylshin, K., Silvestrov, I. & Bakulin, A., 15 Aug 2022. 5 p.

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

  3. 2021

  4. Direct estimation of local wavefront attributes using deep learning

    Gadylshin, K., Silvestrov, I. & Bakulin, A., 2021, In: SEG Technical Program Expanded Abstracts. 2021-September, p. 1596-1600 5 p.

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

  5. 2020

  6. Inpainting of local wavefront attributes using artificial intelligence for enhancement of massive 3-D pre-stack seismic data

    Gadylshin, K., Silvestrov, I. & Bakulin, A., 1 Dec 2020, In: Geophysical Journal International. 223, 3, p. 1888-1898 11 p.

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

  7. Inpainting of local wavefront attributes using artificial intelligence

    Gadylshin, K., Silvestrov, I. & Bakulin, A., 2020, p. 2212-2216. 5 p.

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

  8. Multiparameter data-space reflectivity full waveform inversion in complex geology

    Gadylshin, K. & Cheverda, V., 2020, Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources. European Association of Geoscientists and Engineers, EAGE, (Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources).

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

  9. 2019

  10. Inpainting of local wavefront attributes using artificial intelligence

    Gadylshin, K., Silvestrov, I. & Bakulin, A., 10 Aug 2019, In: SEG Technical Program Expanded Abstracts. p. 2212-2216 5 p.

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

ID: 16212564