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  1. 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

  2. Теория сейсмических волн

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

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

  3. 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

  4. True/preserving amplitude seismic imaging based on Gaussian beams application

    Protasov, M. & Tcheverda, V., Oct 2018, Society of Exploration Geophysicists - SEG International Exposition and 76tth Annual Meeting 2006, SEG 2006. Society of exploration geophysicists, p. 2126-2130 5 p. (Society of Exploration Geophysicists - SEG International Exposition and 76tth Annual Meeting 2006, SEG 2006).

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

  5. Subsalt imaging in the presence of salt-body uncertainty

    Protasov, M., Kolyukhin, D., Rostomyan, S. & Landa, E., 1 Feb 2017, In: Leading Edge. 36, 2, p. 146-150 5 p.

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

  6. Study of seismic properties of Statistical model of fault zone

    Kolyukhin, D., Lisitsa, V., Protasov, M., Qu, D., Tcheverda, V., Tveranger, J. & Vishnevsky, D., Jun 2016, 78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential. European Association of Geoscientists and Engineers, (78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential).

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

  7. Statistical analysis of seismic images of fault zones on the base of fault facial model

    Merzlikina, A. S., Bibik, A. N., Kolyukhin, D. R., Lisitsa, V. V., Protasov, M. I., Qu, D., Reshetova, G. V., Tveranger, J., Tcheverda, V. A. & Vishnevsky, D. M., Apr 2018, Saint Petersburg 2018: Innovations in Geosciences � Time for Breakthrough. European Association of Geoscientists and Engineers, 44423. (Saint Petersburg 2018: Innovations in Geosciences - Time for Breakthrough).

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

  8. 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, 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

  9. Seismic imaging of fault facies models - A pilot study

    Kolyukhin, D., Lisitsa, V., Qu, D., Protasov, M., Tcheverda, V., Tveranger, J. & Vishnevsky, D., Sept 2015, 4th International Conference on Fault and Top Seals 2015: Art or Science?. European Association of Geoscientists and Engineers, p. 95-99 5 p. (4th International Conference on Fault and Top Seals 2015: Art or Science?).

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

  10. Seismic imaging and statistical analysis of fault facies models

    Kolyukhin, D. R., Lisitsa, V. V., Protasov, M. I., Qu, D., Reshetova, G. V., Tveranger, J., Tcheverda, V. A. & Vishnevsky, D. M., 30 Nov 2017, In: Interpretation. 5, 4, p. SP71-SP82 12 p.

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

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