Rajiv Kumar
Rajiv Kumar
Senior Research Geophysicist at Schlumberger
Correu electrònic verificat a slb.com - Pàgina d'inici
Citada per
Citada per
Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation
A Aravkin, R Kumar, H Mansour, B Recht, FJ Herrmann
SIAM Journal on Scientific Computing 36 (5), S237-S266, 2014
Efficient matrix completion for seismic data reconstruction
R Kumar, C Da Silva, O Akalin, AY Aravkin, H Mansour, B Recht, ...
Geophysics 80 (5), V97-V114, 2015
Source separation for simultaneous towed-streamer marine acquisition—A compressed sensing approach
R Kumar, H Wason, FJ Herrmann
Geophysics 80 (6), WD73-WD88, 2015
Seismic data reconstruction with Generative Adversarial Networks
A Siahkoohi, R Kumar, FJ Herrmann
EAGE, 2018
Seismic data interpolation and denoising using svd-free low-rank matrix factorization
R Kumar, AY Aravkin, H Mansour, B Recht, FJ Herrmann
75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013, cp-348-00933, 2013
Source separation via SVD-free rank minimization in the hierarchical semi-separable representation
H Wason, R Kumar, FJ Herrmann, AY Aravkin
SEG Technical Program Expanded Abstracts 2014, 120-126, 2014
Frugal full-waveform inversion: From theory to a practical algorithm
FJ Herrmann, I Hanlon, R Kumar, T Leeuwen, X Li, B Smithyman, ...
The Leading Edge 32 (9), 1082-1092, 2013
Off-the-grid low-rank matrix recovery and seismic data reconstruction
O López, R Kumar, Ö Yılmaz, FJ Herrmann
IEEE Journal of Selected Topics in Signal Processing 10 (4), 658-671, 2016
Reconstruction of seismic wavefields via low-rank matrix factorization in the hierarchical-separable matrix representation
R Kumar, H Mansour, FJ Herrmann, AY Aravkin
SEG Technical Program Expanded Abstracts 2013, 3628-3633, 2013
Fast methods for rank minimization with applications to seismic-data interpolation
R Kumar, AY Aravkin, FJ Herrmann
Technical Report - UBC (TR-EOAS-2012-3), 2012
SVD-free Low-rank Matrix Factorization-Wavefield Reconstruction Via Jittered Subsampling and Reciprocity
R Kumar, AY Aravkin, E Esser, H Mansour, FJ Herrmann
76th EAGE Conference and Exhibition 2014 2014 (1), 1-5, 2014
Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples
A Siahkoohi, M Louboutin, R Kumar, FJ Herrmann
SEG, 2018
Massive 3D seismic data compression and inversion with hierarchical Tucker
Y Zhang, CD Silva, R Kumar, FJ Herrmann
SEG, 2017
A robust SVD-free approach to matrix completion, with applications to interpolation of large scale data
AY Aravkin, R Kumar, H Mansour, B Recht
Decentralized full-waveform inversion
A Kadu, R Kumar
EAGE, 2018
Enabling affordable omnidirectional subsurface extended image volumes via probing
T van Leeuwen, R Kumar, FJ Herrmann
Geophysical Prospecting 65 (2), 385-406, 2017
Deep-learning based ocean bottom seismic wavefield recovery
A Siahkoohi, R Kumar, FJ Herrmann
SEG, 2019
Enabling numerically exact local solver for waveform-inversion—a low-rank approach
R Kumar, B Willemsen, FJ Herrmann, AE Malcolm
Computational Geoscience, 2018
Matrix Completion on Unstructured Grids-2-D Seismic Data Regularization and Interpolation
R Kumar, O López, E Esser, FJ Herrmann
77th EAGE Conference and Exhibition 2015 2015 (1), 1-5, 2015
Affordable full subsurface image volume–-an application to WEMVA
T van Leeuwen, R Kumar, FJ Herrmann
77th EAGE Conference & Exhibition incorporating, 2015
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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