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Shan Qu
Shan Qu
Postdoctoral researcher, Department of computational imaging, Delft University of Technology
Zweryfikowany adres z tudelft.nl - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
A periodically varying code for improving deblending of simultaneous sources in marine acquisition
S Zu, H Zhou, Y Chen, S Qu, X Zou, H Chen, R Liu
Geophysics 81 (3), V213-V225, 2016
1162016
Velocity analysis of simultaneous-source data using high-resolution semblance—Coping with the strong noise
S Gan, S Wang, Y Chen, S Qu, S Zu
Geophysical Journal International 204 (2), 768-779, 2016
992016
Seismic imaging of simultaneous-source data using constrained least-squares reverse time migration
Y Chen, J Yuan, S Zu, S Qu, S Gan
Journal of Applied Geophysics 114, 32-35, 2015
842015
Structure-oriented singular value decomposition for random noise attenuation of seismic data
S Gan, Y Chen, S Zu, S Qu, W Zhong
Journal of Geophysics and Engineering 12 (2), 262-272, 2015
822015
Iterative deblending for simultaneous source data using the deep neural network
S Zu, J Cao, S Qu, Y Chen
Geophysics 85 (2), V131-V141, 2020
642020
Deblending of simultaneous-source seismic data using fast iterative shrinkage-thresholding algorithm with firm-thresholding
S Qu, H Zhou, R Liu, Y Chen, S Zu, S Yu, J Yuan, Y Yang
Acta Geophysica 64, 1064-1092, 2016
612016
Application of spectral decomposition using regularized non-stationary autoregression to random noise attenuation
W Yang, R Wang, Y Chen, J Wu, S Qu, J Yuan, S Gan
Journal of Geophysics and Engineering 12 (2), 175-187, 2015
492015
An effective method for reducing harmonic distortion in correlated vibroseis data
S Qu, H Zhou, Y Chen, S Yu, H Zhang, J Yuan, Y Yang, M Qin
Journal of Applied Geophysics 115, 120-128, 2015
442015
Automatic high-resolution microseismic event detection via supervised machine learning
S Qu, Z Guan, E Verschuur, Y Chen
Geophysical Journal International 222 (3), 1881-1895, 2020
382020
Full-waveform inversion and joint migration inversion with an automatic directional total variation constraint
S Qu, E Verschuur, Y Chen
Geophysics 84 (2), R175-R183, 2019
352019
Training deep networks with only synthetic data: Deep-learning-based near-offset reconstruction for (closed-loop) surface-related multiple estimation on shallow-water field data
S Qu, E Verschuur, D Zhang, Y Chen
Geophysics 86 (3), A39-A43, 2021
292021
Full waveform inversion using an automatic directional total variation constraint
S Qu, DJ Verschuur, Y Chen
79th EAGE Conference and Exhibition 2017 2017 (1), 1-5, 2017
262017
Lowrank approximation for time domain viscoacoustic wave equation with spatially varying order fractional Laplacians
H Chen, H Zhou, S Qu
SEG International Exposition and Annual Meeting, SEG-2014-0055, 2014
242014
Simultaneous time-lapse imaging via joint migration and inversion
S Qu, DJ Verschuur
78th EAGE Conference and Exhibition 2016 2016 (1), 1-5, 2016
212016
Separation of simultaneous vibroseis data
S Qu*, H Zhou, H Chen, S Zu, L Zhi
SEG Technical Program Expanded Abstracts 2014, 4340-4344, 2014
212014
Automatic microseismic-event detection via supervised machine learning
S Qu, E Verschuur, Y Chen
SEG International Exposition and Annual Meeting, SEG-2018-2998279, 2018
202018
A periodically variational dithering code for improving deblending performance
S Zu, H Zhou, Y Chen, Y Liu, S Qu
SEG International Exposition and Annual Meeting, SEG-2015-5749159, 2015
202015
Surface-related multiple leakage extraction using local primary-and-multiple orthogonalization
D Zhang, DJ Verschuur, S Qu, Y Chen
Geophysics 85 (1), V81-V97, 2020
192020
Simultaneous joint migration inversion for accurate time-lapse analysis of sparse monitor surveys
S Qu, DJ Verschuur
First EAGE Workshop on Practical Reservoir Monitoring, cp-505-00025, 2017
172017
Getting accurate time-lapse information using geology-constrained simultaneous joint migration-inversion
S Qu, D Verschuur
SEG International Exposition and Annual Meeting, SEG-2016-13964374, 2016
172016
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