I. Silvestrov

发表

Full‐waveform inversion for macro velocity model reconstruction in look‐ahead offset vertical seismic profile: numerical singular value decomposition‐based analysis

Ilya Silvestrov, Vladimir Tcheverda, D Neklyudov, 2013 .

Importance of phase guides from beamformed data for processing multi-channel data in highly scattering media.

I. Silvestrov, D. Neklyudov, A. Bakulin, 2020, The Journal of the Acoustical Society of America.

Evaluating strategies for estimation of local kinematic parameters in noisy land data: quality versus performance trade-offs

I. Silvestrov, A. Bakulin, M. Protasov, 2021, Journal of Geophysics and Engineering.

Research Note: Signal‐to‐noise ratio computation for challenging land single‐sensor seismic data

I. Silvestrov, A. Bakulin, M. Protasov, 2021, Geophysical Prospecting.

Near-surface velocity uncertainty estimation through Bayesian tomography approach

I. Silvestrov, A. Bakulin, P. Golikov, 2020 .

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I. Silvestrov, A. Bakulin, M. Protasov, 2019 .

A Helmholtz iterative solver with semianalytical preconditioner for the frequency-domain full-waveform inversion

I. Silvestrov, D. Neklyudov, V. Tcheverda, 2010 .

Near-Surface Bayesian First-Arrival Tomography with Uncertainty using Natural Neighbor Interpolation

I. Silvestrov, A. Bakulin, P. Golikov, 2021, 82nd EAGE Annual Conference & Exhibition.

Inpainting of local wavefront attributes using artificial intelligence

I. Silvestrov, A. Bakulin, K. Gadylshin, 2019, SEG Technical Program Expanded Abstracts 2019.

Accelerating the 2+2+1 method for estimating local traveltime operators in nonlinear beamforming using GPU graphics cards

I. Silvestrov, Yimin Sun, A. Bakulin, 2022, Journal of Geophysics and Engineering.

Intraarray statics and phase corrections obtained by beamforming in the short-time Fourier transform domain: Application to supergrouping

I. Silvestrov, A. Bakulin, M. Dmitriev, 2017 .

Enhancing 3-D Land Seismic Data Using Nonlinear Beamforming Based on the Efficiency-Improved Genetic Algorithm

I. Silvestrov, Yimin Sun, A. Bakulin, 2022, IEEE Transactions on Evolutionary Computation.

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

I. Silvestrov, A. Bakulin, 2021, First International Meeting for Applied Geoscience & Energy Expanded Abstracts.

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

I. Silvestrov, A. Bakulin, Pierre Leger, 2022, Second International Meeting for Applied Geoscience & Energy.

Characterizing shallow subsurface using 3D seismic while drilling with a downhole pilot

I. Silvestrov, A. Bakulin, A. Aldawood, 2022, The Leading Edge.

Seismic data enhancement and targeted noise removal using time-frequency masking guided by beamformed data

I. Silvestrov, D. Neklyudov, A. Bakulin, 2020 .

Prestack data enhancement with phase corrections in time‐frequency domain guided by local multidimensional stacking

Andrey Bakulin, Ilya Silvestrov, Dmitri Neklyudov, 2020, Geophysical Prospecting.

Nonlinear beamforming for enhancing prestack seismic data with a challenging near surface or overburden

I. Silvestrov, D. Neklyudov, V. Tcheverda, 2018, First Break.

Surface seismics with DAS: An emerging alternative to modern point-sensor acquisition

I. Silvestrov, A. Bakulin, R. Pevzner, 2020, The Leading Edge.

Smart DAS uphole acquisition system for near-surface characterization and imaging

I. Silvestrov, A. Bakulin, M. Al-Ali, 2018, SEG Technical Program Expanded Abstracts 2018.

Smart DAS upholes for simultaneous land near-surface characterization and subsurface imaging

I. Silvestrov, A. Bakulin, M. Al-Ali, 2017 .

Resolution and stability analysis of offset VSP acquisition scenarios with applications to full- waveform inversion

Sb Ras, I. Silvestrov, D. Neklyudov, 2012 .

Processing and analysis of seismic-while drilling data acquired with wireless geophones and instrumented top drive in the desert environment

I. Silvestrov, A. Bakulin, F. Poletto, 2020 .

Acquisition trial of DrillCAM: Real-time seismic with wireless geophones, instrumented top drive and near-bit accelerometer

I. Silvestrov, A. Bakulin, E. Hemyari, 2019, SEG Technical Program Expanded Abstracts 2019.

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

I. Silvestrov, A. Bakulin, K. Gadylshin, 2022, Second International Meeting for Applied Geoscience & Energy.

Direct estimation of local wavefront attributes using deep learning

Andrey Bakulin, Ilya Silvestrov, Kirill Gadylshin, 2021, First International Meeting for Applied Geoscience & Energy Expanded Abstracts.

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

Andrey Bakulin, Ilya Silvestrov, Maxim Protasov, 2021, First International Meeting for Applied Geoscience & Energy Expanded Abstracts.

Imaging ahead of and around the bit in a desert environment: DrillCAM field trial with wireless geophones and top-drive sensor

Andrey Bakulin, Ilya Silvestrov, Ali Aldawood, 2021 .

Seismic-while-drilling applications from the first DrillCAM trial with wireless geophones and instrumented top drive

I. Silvestrov, A. Bakulin, F. Poletto, 2020 .

Nonlinear beamforming for enhancement of 3D prestack land seismic data

I. Silvestrov, D. Neklyudov, A. Bakulin, 2020 .

Adaptive multiscale processing of challenging 3D seismic data for first-break picking, FWI and imaging

I. Silvestrov, A. Bakulin, M. Dmitriev, 2019, SEG Technical Program Expanded Abstracts 2019.

3D Prestack Land Data Enhancement Based on Nonlinear Beamforming in Cross-Spread Domain

Maxim Dmitriev, Ilya Silvestrov, Andrey Bakulin, 2019, 81st EAGE Conference and Exhibition 2019.

Smart DAS Uphole Acquisition System for Near-Surface Model Building: Results from the First Successful Field Tests

Robert Smith, Andrey Bakulin, Ilya Silvestrov, 2019, Day 2 Tue, March 19, 2019.

Efficient prestack enhancement based on local stacking: finding optimal domain for modern 3D land-seismic data

I. Silvestrov, D. Neklyudov, A. Bakulin, 2018, SEG Technical Program Expanded Abstracts 2018.

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

Tariq Alkhalifah, Daniel Peter, Andrey Bakulin, 2021, First International Meeting for Applied Geoscience & Energy Expanded Abstracts.

Elastic near-surface model estimation from full waveforms by deep learning

D. Peter, T. Alkhalifah, O. Ovcharenko, 2020 .

Seismic imaging of vertical array data acquired using smart DAS uphole acquisition system

Young Seo Kim, I. Silvestrov, A. Bakulin, 2018, SEG Technical Program Expanded Abstracts 2018.

A self-supervised scheme for ground roll suppression

T. Alkhalifah, C. Birnie, I. Silvestrov, 2023, 2310.13967.

Poststack diffraction imaging using reverse‐time migration

Ilya Silvestrov, Reda Baina, E. Landa, 2016 .

Machine learning algorithms for real-time prediction of the sonic logs based on drilling parameters and downhole accelerometers

Andrey Bakulin, Ilya Silvestrov, Stanislav Glubokovskikh, 2020, SEG Technical Program Expanded Abstracts 2020.

Meter-scale geologic heterogeneity in the near surface explains seismic speckle scattering noise

I. Silvestrov, D. Neklyudov, A. Ramdani, 2023, The Leading Edge.