フォロー
Zhicheng Geng
Zhicheng Geng
確認したメール アドレス: utexas.edu
タイトル
引用先
引用先
Building realistic structure models to train convolutional neural networks for seismic structural interpretation
X Wu, Z Geng, Y Shi, N Pham, S Fomel, G Caumon
Geophysics 85 (4), WA27-WA39, 2020
1732020
Multitask learning for local seismic image processing: fault detection, structure-oriented smoothing with edge-preserving, and seismic normal estimation by using a single …
X Wu, L Liang, Y Shi, Z Geng, S Fomel
Geophysical Journal International 219 (3), 2097-2109, 2019
712019
Deep learning for relative geologic time and seismic horizons
Z Geng, X Wu, Y Shi, S Fomel
Geophysics 85 (4), WA87-WA100, 2020
692020
Rstt: Real-time spatial temporal transformer for space-time video super-resolution
Z Geng, L Liang, T Ding, I Zharkov
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
562022
Deep learning for velocity model building with common-image gather volumes
Z Geng, Z Zhao, Y Shi, X Wu, S Fomel, M Sen
Geophysical Journal International 228 (2), 1054-1070, 2022
382022
Deep relative geologic time: A deep learning method for simultaneously interpreting 3‐D seismic horizons and faults
Z Bi, X Wu, Z Geng, H Li
Journal of Geophysical Research: Solid Earth 126 (9), e2021JB021882, 2021
302021
Relative geologic time estimation using a deep convolutional neural network
Z Geng, X Wu, Y Shi, S Fomel
SEG International Exposition and Annual Meeting, D033S038R001, 2019
232019
Deep learning for local seismic image processing: Fault detection, structure-oriented smoothing with edge-preserving, and slope estimation by using a single convolutional …
X Wu, L Liang, Y Shi, Z Geng, S Fomel
Seg technical program expanded abstracts 2019, 2222-2226, 2019
182019
High-fidelity permeability and porosity prediction using deep learning with the self-attention mechanism
L Yang, S Wang, X Chen, W Chen, OM Saad, X Zhou, N Pham, Z Geng, ...
IEEE Transactions on Neural Networks and Learning Systems, 2022
152022
Relative time seislet transform
Z Geng, X Wu, S Fomel, Y Chen
Geophysics 85 (2), V223-V232, 2020
142020
A deep learning framework for seismic facies classification
H Kaur, N Pham, S Fomel, Z Geng, L Decker, B Gremillion, M Jervis, ...
Interpretation 11 (1), T107-T116, 2023
122023
Semisupervised salt segmentation using mean teacher
Z Geng, Z Hu, X Wu, L Liang, S Fomel
Interpretation 10 (3), SE21-SE29, 2022
72022
Building realistic structure models to train convolutional neural networks for seismic structural interpretation, Geophysics, 85, Wa27–Wa39
XM Wu, ZC Geng, YZ Shi, N Pham, S Fomel, G Caumon
WA27–WA39, 2020
62020
First-arrival phase-traveltime tomography
Y Liu, Z Wu, Z Geng
SEG 2017 Workshop: Full-waveform Inversion and Beyond, Beijing, China, 20-22 …, 2017
62017
3D relative geologic time estimation with deep learning
Z Bi, Z Geng, H Gao, X Wu, H Li
SEG International Exposition and Annual Meeting, D021S008R007, 2020
52020
LOUD: Local orthogonalization-constrained unsupervised deep-learning denoiser
Z Geng, Y Chen, S Fomel, L Liang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022
42022
Relative geologic time estimation using a deep convolutional neural network: 89th Annual International Meeting, SEG, Expanded Abstracts, 2238–2242, doi: 10.1190/segam2019-3214459.1
Z Geng, X Wu, Y Shi, S Fomel
Abstract, 2019
42019
A multi-task learning method for relative geologic time, horizons, and faults with prior information and transformer
J Yang, X Wu, Z Bi, Z Geng
IEEE Transactions on Geoscience and Remote Sensing, 2023
32023
Simultaneous reconstruction and denoising of extremely sparse 5-D seismic data by a simple and effective method
H Wang, Y Chen, YASI Oboué, R Abma, Z Geng, S Fomel, Y Chen
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021
32021
Deep learning for enhancing multisource reverse time migration
Y Li, X Jia, X Wu, Z Geng
IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022
22022
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