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Proceedings Papers

Seismic speckle as multiplicative noise explaining land reflections distorted by near-surface scattering

Andrey Bakulin, Dmitry Neklyudov, Ilya Silvestrov
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3735790
DOI: https://doi.org/10.1190/image2022-3735790.1
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View Paper titled, Seismic speckle as multiplicative noise explaining land reflections distorted by near-surface scattering
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Proceedings Papers

Closing the loop between acquisition and processing: Data-driven volumetric SNR estimation versus acquisition design predictions

Andrey Bakulin, Ilya Silvestrov, Pierre Leger
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3735804
DOI: https://doi.org/10.1190/image2022-3735804.1
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View Paper titled, Closing the loop between acquisition and processing: Data-driven volumetric SNR estimation versus acquisition design predictions
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Proceedings Papers

Acquisition trial of deep smart DAS uphole: Evaluating high-productivity drilling with dual rotary and fiber cable deployment

Andrey Bakulin, Ezzedeen Alfataierge, Richard Berquist, Francois Hermal
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3735871
DOI: https://doi.org/10.1190/image2022-3735871.1
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View Paper titled, Acquisition trial of deep smart DAS uphole: Evaluating high-productivity drilling with dual rotary and fiber cable deployment
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Proceedings Papers

Evaluating HD weathering surveys and surface seismic with DAS in a sand dune environment

Andrey Bakulin, Ezzedeen Alfataierge, Roman Pevzner
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3735875
DOI: https://doi.org/10.1190/image2022-3735875.1
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View Paper titled, Evaluating HD weathering surveys and surface seismic with DAS in a sand dune environment
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Proceedings Papers

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

Kirill Gadylshin, Ilya Silvestrov, Andrey Bakulin
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3735882
DOI: https://doi.org/10.1190/image2022-3735882.1
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View Paper titled, Accelerated deep learning-based estimation of wavefront dips and curvatures and their application to 3D prestack data enhancement
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Proceedings Papers

Statistical depth imaging through complex cluttered near-surface with path summation

Andrey Bakulin, Ilya Silvestrov, Maxim Protasov
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3736085
DOI: https://doi.org/10.1190/image2022-3736085.1
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View Paper titled, Statistical depth imaging through complex cluttered near-surface with path summation
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Proceedings Papers

Aiding self-supervised coherent noise suppression by the introduction of signal segmentation using blind-spot networks

Sixiu Liu, Claire Birnie, Tariq Alkhalifah, Andrey Bakulin
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3742756
DOI: https://doi.org/10.1190/image2022-3742756.1
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View Paper titled, Aiding self-supervised coherent noise suppression by the introduction of signal segmentation using blind-spot networks
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Proceedings Papers

Target-oriented time-lapse elastic full-waveform inversion assisted by deep learning with prior information

Yuanyuan Li, Andrey Bakulin, Philippe Nivlet, Robert Smith, Tariq Alkhalifah
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3581711
DOI: https://doi.org/10.1190/segam2021-3581711.1
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View Paper titled, Target-oriented time-lapse elastic full-waveform inversion assisted by deep learning with prior information
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Proceedings Papers

Targeted noise removal by seismic time-frequency masking (STFM) and minimum statistics approach

Andrey Bakulin, Dmitry Neklyudov, Ilya Silvestrov
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3581846
DOI: https://doi.org/10.1190/segam2021-3581846.1
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View Paper titled, Targeted noise removal by seismic time-frequency masking (STFM) and minimum statistics approach
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Proceedings Papers

Drillbit vibrations enable sonic logs prediction in lateral boreholes using machine learning

Andrey Bakulin, Glenn Makechnie, Elena Bentosa Gutierrez
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583017
DOI: https://doi.org/10.1190/segam2021-3583017.1
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View Paper titled, Drillbit vibrations enable sonic logs prediction in lateral boreholes using machine learning
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Proceedings Papers

Seismic-while-drilling with a pilot signal from a downhole memory-based vibration sensor

Ilya Silvestrov, Andrey Bakulin, Emad Hemyari, Ali Aldawood, Anton Egorov
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582705
DOI: https://doi.org/10.1190/segam2021-3582705.1
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View Paper titled, Seismic-while-drilling with a pilot signal from a downhole memory-based vibration sensor
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Proceedings Papers

Understanding acquisition and processing challenges in the desert environment through SEAM Arid and Barrett models

Andrey Bakulin, Ilya Silvestrov
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583002
DOI: https://doi.org/10.1190/segam2021-3583002.1
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View Paper titled, Understanding acquisition and processing challenges in the desert environment through SEAM Arid and Barrett models
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Proceedings Papers

Time-lapse seismic cross-equalization using temporal convolutional networks

Abdullah Alali, Robert Smith, Philippe Nivlet, Andrey Bakulin, Tariq Alkhalifah
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583439
DOI: https://doi.org/10.1190/segam2021-3583439.1
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View Paper titled, Time-lapse seismic cross-equalization using temporal convolutional networks
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Proceedings Papers

Direct estimation of local wavefront attributes using deep Learning

Kirill Gadylshin, Ilya Silvestrov, Andrey Bakulin
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583265
DOI: https://doi.org/10.1190/segam2021-3583265.1
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View Paper titled, Direct estimation of local wavefront attributes using deep Learning
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Proceedings Papers

Transforming the near-bit sensor into a reliable pilot for seismic while drilling

Anton Egorov, Pavel Golikov, Ilya Silvestrov, Andrey Bakulin
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3578452
DOI: https://doi.org/10.1190/segam2021-3578452.1
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View Paper titled, Transforming the near-bit sensor into a reliable pilot for seismic while drilling
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Proceedings Papers

Quality control of 3D prestack land seismic data with a focus on data enhancement

Andrey Bakulin, Ilya Silvestrov, Maxim Protasov
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3576612
DOI: https://doi.org/10.1190/segam2021-3576612.1
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View Paper titled, Quality control of 3D prestack land seismic data with a focus on data enhancement
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Proceedings Papers

Optimal acquisition parameters for smart DAS uphole survey in a desert environment

Ezzedeen Alfataierge, Moneera Alsharif, Andrey Bakulin, Anton Egorov
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3567899
DOI: https://doi.org/10.1190/segam2021-3567899.1
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View Paper titled, Optimal acquisition parameters for smart DAS uphole survey in a desert environment
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Proceedings Papers

Amplitude-based DAS logging: Turning DAS VSP amplitudes into subsurface elastic properties

Vladimir Kazei, Konstantin Osypov, Ezzedeen Alfataierge, Andrey Bakulin
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3579450
DOI: https://doi.org/10.1190/segam2021-3579450.1
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View Paper titled, Amplitude-based DAS logging: Turning DAS VSP amplitudes into subsurface elastic properties
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Proceedings Papers

Realistic modeling of surface seismic and VSP using DAS with straight and shaped fibers of variable gauge length

Anton Egorov, Marwan Charara, Ezzedeen Alfataierge, Andrey Bakulin
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3576626
DOI: https://doi.org/10.1190/segam2021-3576626.1
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View Paper titled, Realistic modeling of surface seismic and VSP using DAS with straight and shaped fibers of variable gauge length
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Proceedings Papers

Dual-band generative learning for low-frequency extrapolation in seismic land data

Oleg Ovcharenko, Vladimir Kazei, Daniel Peter, Ilya Silvestrov, Andrey Bakulin, Tariq Alkhalifah
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3579442
DOI: https://doi.org/10.1190/segam2021-3579442.1
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View Paper titled, Dual-band generative learning for low-frequency extrapolation in seismic land data
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