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  1. 2024

  2. Трехмерная сейсмическая инверсия с использованием машинного обучения для восстановления плотности распределения трещин: апробация на реальных данных

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2024, In: Геофизика. 4, p. 25-31 7 p., 3.

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

  3. 2023

  4. 3D Seismic Inversion for Fracture Model Reconstruction Based on Machine Learning

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, p. 105-117 13 p. 8. (Lecture Notes in Computer Science (LNCS); vol. 14389).

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

  5. Seismic Inversion for Fracture Model Reconstruction: From 1D Inversion to Machine Learning

    Protasov, M., Kenzhin, R., Dmitrachkov, D. & Pavlovskiy, E., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, p. 99-109 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13957 LNCS).

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

  6. Восстановление модели трещин на основе машинного обучения и трехмерного свёрточного моделирования

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, In: Геофизика. 3, p. 58-63 6 p.

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

  7. 2021

  8. Теория сейсмических волн

    Протасов, М. И. & Чеверда, В. А., 2021, Новосибирск: ИПЦ НГУ. 82 p.

    Research output: Book/Report › Teaching manual › peer-review

  9. 2019

  10. Characterization of fractured zones via topological analysis of 3D seismic diffraction images

    Protasov, M. I., Khachkova, T. S., Kolyukhin, D. R. & Bazaikin, Y. V., 1 Sept 2019, In: Geophysics. 84, 5, p. O93-O102 10 p.

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

  11. 3D scattering imaging in the time domain based on asymmetric beam summation

    Protasov, M., Tcheverda, V., Lisitsa, V., Reshetova, G., Shilikov, V., Ledyaev, A., Petrov, D., Merzlikina, A. & Volyanskaya, V., 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

  12. 3D diffraction imaging of fault and fracture zones via image spectral decomposition of partial images

    Protasov, M. I., Gadylshin, K. G., Tcheverda, V. A. & Pravduhin, A. P., 1 Jun 2019, In: Geophysical Prospecting. 67, 5, p. 1256-1270 15 p.

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

  13. 3D True-Amplitude Anisotropic Elastic Gaussian Beam Depth Migration of 3D Irregular Data

    Protasov, M., Tcheverda, V. A. & Pravduhin, A. P., Apr 2019, In: Journal of Seismic Exploration. 28, 2, p. 121-146 26 p.

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

  14. Definition of carbonate reservoir structure by the technology of seismic scattered waves interpretation with the method of gaussian beams

    Petrov, D. A., Melnik, A. A., Shilikov, V. V., Tuzovskiy, A. A., Melnikov, R. S., Volyanskaya, V. V., Cheverda, V. A. & Protasov, M. I., Jan 2019, In: Neftyanoe khozyaystvo - Oil Industry. 2019, January, p. 6-10 5 p.

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

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