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Supergrouping, Nonlinear Beamforming, and Seismic Time-frequency Masking Home
by Andrey Bakulin Pre-stack data enhancement remains a critical task for land processing, especially for a modern high-channel-count or single-sensor data. Supergrouping and nonlinear beamforming are novel approaches rapidly becoming a workhorse of data enhancement for FWI and reflection processing. Seismic time-frequency (guided by beamforming) is a breakthrough approach that goes to the next level and preserves higher frequencies beyond what can be achieved with any local stacking. Milestone publications on Supergrouping and
Nonlinear Beamforming 2024 ·
Bakulin, A., Neklyudov,
D., and I. Silvestrov, 2024, the impact of receiver arrays on suppressing
seismic speckle scattering noise caused by the meter-scale near-surface
heterogeneity: Geophysics, 89, accepted. [paper] 2023 ·
Bakulin, A., Ramdani, A., Neklyudov,
D., and I. Silvestrov, 2023, Meter-scale geologic heterogeneity in the near
surface explains seismic speckle scattering noise: The Leading Edge, 42 (10),
654–724 [paper] · Bakulin, A., Neklyudov, D., and I. Silvestrov, 2023, Seismic time-frequency masking for suppression of seismic speckle noise: Geophysics, 88 (5), V371–V385. [paper] · Bakulin, A., Dmitriev, M., Silvestrov, I., Tcheverda, V., Neklyudov, D., Protasov, M., and K. Gadylshin, 2023, Systems and methods to enhance 3-D prestack seismic data based on non-linear beamforming in the cross-spread domain: US patent 11,009,617 [patent] · Gadylshin, K., Silvestrov, and A., Bakulin, 2023, Deep learning-based local wavefront attributes and their application to 3D prestack data enhancement, Geophysics, 88(3), V277–V289, [paper] ·
Bakulin, A., and I. Silvestrov, 2023, Quantitative evaluation of
3D land acquisition geometries with arrays and single sensors: closing the
loop between acquisition and processing: The Leading Edge, 42 (5), 310-320 [paper] 2022 · Bakulin, A., Neklyudov, D., and I. Silvestrov, 2022, Multiplicative seismic noise caused by small-scale near-surface scattering and its transformation during stacking: Geophysics, 87 (5), V419-V435. [paper] · Bakulin, A., Silvestrov, I., and P. Leger, 2022, Closing the loop between acquisition and processing: Data-driven volumetric SNR estimation versus acquisition design predictions, SEG Technical Program Expanded Abstracts: 46-50. [paper] · Gadylshin, K., Silvestrov, I., and A. Bakulin, 2022, Accelerated deep learning-based estimation of wavefront dips and curvatures and their application to 3D prestack data enhancement, SEG Technical Program Expanded Abstracts : 1649-1653. [paper] · Bakulin, A., Silvestrov, I., and M. Protasov, 2022, Statistical depth imaging through complex cluttered near-surface with path summation, SEG Technical Program Expanded Abstracts : 2123-2127. [paper] · Bakulin, A., Neklyudov, D., and I. Silvestrov, 2022, Seismic speckle as multiplicative noise explaining land reflections distorted by near-surface scattering, SEG Technical Program Expanded Abstracts : 2601-2605. [paper] · Bakulin, A., Silvestrov, I., and M. Protasov, 2022, Signal-to-noise ratio computation for challenging land single-sensor seismic data: Geophysical Prospecting, 70(3), 629-638. [paper] · Sun, Y., Silvestrov, I., and A. Bakulin, A., 2022, Accelerating the 2+2+1 method for estimating local traveltime operators in nonlinear beamforming using GPU graphics cards: Journal of Geophysics and Engineering, 19, 389–402. [paper] · Sun, Y., Silvestrov, I., and A. Bakulin, A., 2022, Enhancing 3D land seismic data using nonlinear beamforming based on the efficiency-improved Genetic Algorithm: IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 26 (5), 1192-1199. [paper] · Bakulin, A., Protasov, M., and I. Silvestrov, 2022, Robust Post-Stack and Prestack Signal-To-Noise Ratio Estimation on Land Seismic Data: 83rd EAGE Conference and Exhibition, EAGE, Expanded Abstracts [paper] · Bakulin, A., Neklyudov, D., and I. Silvestrov, 2022, Effect of Stacking on Multiplicative Noise Caused by Small-Scale Scattering: 83rd EAGE Conference and Exhibition, EAGE, Expanded Abstracts [paper] · Sun, Y., Silvestrov, I., and A. Bakulin, 2022, Efficient Estimation of Local Kinematic Operators in Nonlinear Beamforming Using Gpu Graphics Cards: 83rd EAGE Conference and Exhibition, EAGE, Expanded Abstracts [paper] · Sun, Y., Silvestrov, I., and A. Bakulin, 2022, Speeding up the 2+2+1 Method via GPU Computing for Estimating Local Travel Time Operators in Nonlinear Beamforming, Sixth EAGE High Performance Computing Workshop, EAGE [paper] 2021 · Bakulin, A., Silvestrov, I., and M. Protasov, 2021, Evaluating strategies for estimation of local kinematic parameters in noisy land data: quality versus performance trade-offs: Journal of Geophysics and Engineering, 18(6), 890-907. [paper] · Bakulin, A., Silvestrov, I., Dmitriev, M., Neklyudov, Gadylshin, K., and D., Protasov, M., 2021, 3D data-domain reflection tomography for initial velocity model building using challenging 3D seismic data: Journal of Seismic Exploration, 30, 419-446. [paper] · Gadylshin, K, Bakulin, A., and I. Silvestrov, 2021, Method for fast calculation of seismic attributes using artificial intelligence: US patent 11,009,617 [paper] · Bakulin, A., Neklyudov, D., and I. Silvestrov, 2021, Seismic Data Enhancement and Targeted Noise Removal Using Time-frequency Masking Guided by Beamformed Data: Geophysical Society of Houston Journal, 5, 11-17. [paper] · Bakulin, A., Silvestrov, I., and M. Protasov, 2021, Quality control of 3D prestack land seismic data with a focus on data enhancement: 91th Annual International Meeting, SEG, Expanded Abstracts, 2929-2934 [paper] · Gadylshin, K., Bakulin, A., and I. Silvestrov, 2021, Direct estimation of local wavefront attributes using deep learning: 91th Annual International Meeting, SEG, Expanded Abstracts, 1596-1601 [paper] · Bakulin, A., and I. Silvestrov, 2021, Understanding acquisition and processing challenges in the desert environment through SEAM Arid and Barrett models: 91th Annual International Meeting, SEG, Expanded Abstracts, 2824-2829 [paper] · Bakulin, A., Neklyudov, D., and I. Silvestrov, 2021, Targeted Noise Removal by Seismic Time-Frequency Masking (STFM) and Minimum Statistics approach: 91th Annual International Meeting, SEG, Expanded Abstracts, 2879-2884 [paper] · Gadylshin, K., Bakulin, A., and I. Silvestrov, 2021, Moving toward direct DNN-based enhancement of 3D pre-stack seismic data: 82nd EAGE Conference and Exhibition, EAGE, Expanded Abstracts, We-Forum_05 [paper] · Bakulin, A., Neklyudov, D., and I. Silvestrov, 2021, Prestack data enhancement with phase substitution and phase corrections guided by local multidimensional stacking: 82nd EAGE Conference and Exhibition, EAGE, Expanded Abstracts, Th_P03_08 [paper] · Silvestrov, I., Bakulin, A., Nekluydov, D., Gadylshin, K., and M. Protasov, 2021, Enhancing Massive Land 3D Seismic Data Using Nonlinear Beamforming: Performance, Quality and Practical Trade-Offs: 82nd EAGE Conference and Exhibition, EAGE, Expanded Abstracts [paper] 2020 · Bakulin, A., Neklyudov, D., and I. Silvestrov, 2020, Prestack data enhancement with phase corrections in time‐frequency domain guided by local multidimensional stacking: Geophysical Prospecting, 68, 1811-1818. [paper] · Bakulin, A., Dmitriev, M., Neklyudov, D., and I. Silvestrov, 2020, Importance of phase guides from beamformed data for processing multi-channel data in highly scattering media: Journal Of Acoustical Society of America – Express Letters, 147 (6), EL447-EL552. [paper] · Bakulin, A., Silvestrov, I., Dmitriev, M., Neklyudov, D., Protasov, M., Gadylshin, K., and Dolgov, 2020, Nonlinear beamforming for enhancement of 3D prestack land seismic data: Geophysics, 85, 1MJ-Z13. [paper] · Gadylshin, K., Silvestrov, I., and A. Bakulin, A., 2020, Inpainting of local wavefront attributes using artificial intelligence for enhancement of massive 3-D pre-stack seismic data: Geophysical Journal International, v. 223, Issue 3, 1888-1898. [paper] · Bakulin, A., Neklyudov, D., and I. Silvestrov, 2020, Seismic data enhancement and targeted noise removal using time-frequency masking guided by beamformed data: 90th Annual International Meeting, SEG, Expanded Abstracts, 3134-3139 [paper] 2019 · Bakulin, A., Silvestrov, I., and D. Neklyudov, 2019, Where are the reflections in single-sensor land data? SEG Workshop on New Advances in Seismic Land Data Acquisition, Muscat, Oman [paper] · Bakulin, A., Dmitriev, M., Silvestrov, I., Neklyudov, D., Protasov, M., and K. Gadylshin, 2019, Bootstrapping invisible signals: prestack land data enhancement using nonlinear beamforming with local waveform corrections: 89th Annual International Meeting, SEG, Expanded Abstracts, 3954-3959 [paper] · Bakulin, A., Silvestrov, I., and Dmitriev, M., 2019, Adaptive multiscale processing of challenging 3D seismic data for first-break picking, FWI and imaging: 89th Annual International Meeting, SEG, Expanded Abstracts, 3979-3984 [paper] 2018 · Bakulin, Silvestrov, I., Dmitriev, M., Neklyudov, D., Protasov, M., and K. Gadylshin, 2018, Nonlinear beamforming for enhancing prestack seismic data with a challenging near surface or overburden: First Break, 36 (12), 121-126. [paper] · Bakulin, A., Dmitriev, M., Silvestrov, I., Neklyudov, D., Gadylshin, K., and M. Protasov, 2018, Efficient prestack enhancement based on local stacking: finding optimal domain for modern 3D land seismic data: 88th Annual International Meeting, SEG, Expanded Abstracts, 4598-4602 [paper] · Bakulin, A., Dmitriev, M., and I. Silvestrov, 2018, Enhancement of Challenging Prestack Land Data for Improved Processing and Imaging: SPE 192313 [paper] · Dmitriev, M., Bakulin, A., Silvestrov, I., Protasov, M., Neklyudov, D., and K. Gadylshin, 2018, Enhancing Challenging Prestack Data Using Local Summation Approaches: 80th EAGE Conference and Exhibition, EAGE, Expanded Abstracts, Th C 01 [paper] · Bakulin, A., Golikov, P., Dmitriev, M., Neklyudov, D., Leger, P. and V. Dolgov, 2018, Application of supergrouping to enhance 3D prestack seismic data from a desert environment: The Leading Edge, 37 (3), 200-207. [paper] 2017 · Bakulin, A., and K. Erickson, 2017, Enhance—estimate—image: New processing approach for single-sensor and other seismic data with low prestack signal-to-noise ratio: 87th Annual International Meeting, SEG, Expanded Abstracts, 5001-5005 [paper] · Dmitriev, M., Bakulin, A., and P. Golikov, 2017, Efficient four-dimensional supergrouping algorithm for enhancement of high-channel count seismic data: 87th Annual International Meeting, SEG, Expanded Abstracts, 4986-4990 [paper] · Neklyudov, D., Bakulin, A., Dmitriev, M. and I. Silvestrov, 2017, Intraarray statics and phase corrections obtained by beamforming in the short-time Fourier transform domain: Application to supergrouping: 87th Annual International Meeting, SEG, Expanded Abstracts, 4991-4994 [paper] · Bakulin, A., Silvestrov, I., Dmitriev, M., Golikov, P., Neklyudov, D., Protasov, M., Gadylshin, K., Tcheverda, V., and V. Dolgov, 2017, I Nonlinear beamforming for enhancing pre-stack data with challenging near surface or overburden: 87th Annual International Meeting, SEG, Expanded Abstracts, 4997-5000 [paper] 2016 · Bakulin, A., Golikov, P., Dmitriev, M., Dolgov, V. and P. Leger, 2016, Application of supergrouping to land seismic data in desert environment: 86th Annual International Meeting, SEG, Expanded Abstracts [paper] 2015 · Golikov, P., Dmitriev, M., Bakulin, A., Neklyudov, D., and R. Lakeman, 2015, Improving pre-stack land data using smart supergrouping: 85th Annual International Meeting, SEG, Expanded Abstracts [paper] · Neklyudov, D., Bakulin, Golikov, P., and M. Dmitriev, 2015, Enhancing 3D Broadband Land Seismic Data with Smart Super Groups for Processing and FWI: 77th EAGE Conference and Exhibition, Expanded Abstracts [paper] |
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