Takip et
Xinming Wu
Xinming Wu
Professor of Geophysics, University of Science and Technology of China
ustc.edu.cn üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentation
X Wu, L Liang, Y Shi, S Fomel
Geophysics 84 (3), IM35-IM45, 2019
8282019
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
2302020
SaltSeg: Automatic 3D salt segmentation using a deep convolutional neural network
Y Shi, X Wu, S Fomel
Interpretation 7 (3), SE113-SE122, 2019
2112019
3D seismic image processing for faults
X Wu, D Hale
Geophysics 81 (2), IM1-IM11, 2016
1882016
Directional structure-tensor-based coherence to detect seismic faults and channels
X Wu
Geophysics 82 (2), A13-A17, 2017
1832017
Convolutional neural networks for fault interpretation in seismic images
X Wu, Y Shi, S Fomel, L Liang
SEG Technical Program Expanded Abstracts 2018, 1946-1950, 2018
1772018
FaultNet3D: Predicting Fault Probabilities, Strikes, and Dips With a Single Convolutional Neural Network
X Wu, Y Shi, S Fomel, L Liang, Q Zhang, A Yusifov
IEEE Transactions on Geoscience and Remote Sensing 57 (11), 9138-9155, 2019
1512019
Horizon volumes with interpreted constraints
X Wu, D Hale
Geophysics 80 (2), IM21-IM33, 2015
1462015
Automatic salt-body classification using deep-convolutional neural network
Y Shi, X Wu, S Fomel
SEG Technical Program Expanded Abstracts 2018, 1971-1975, 2018
1262018
Deep learning for simultaneous seismic image super-resolution and denoising
J Li, X Wu, Z Hu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2021
1202021
Automatic fault interpretation with optimal surface voting
X Wu, S Fomel
Geophysics 83 (5), O67-O82, 2018
1162018
Application of a convolutional neural network in permeability prediction: A case study in the Jacksonburg-Stringtown oil field, West Virginia, USA
Z Zhong, TR Carr, X Wu, G Wang
Geophysics 84 (6), B363-B373, 2019
1062019
ADDCNN: An attention-based deep dilated convolutional neural network for seismic facies analysis with interpretable spatial-spectral maps
F Li, H Zhou, Z Wang, X Wu
IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1733 -1744, 2020
1042020
Missing well log prediction using convolutional long short-term memory network
N Pham, X Wu, EZ Naeini
Geophysics 85 (4), WA159-WA171, 2020
962020
Least-squares horizons with local slopes and multi-grid correlations
X Wu, S Fomel
Geophysics 83 (4), IM29-IM40, 2018
912018
Deep learning for multi-dimensional seismic impedance inversion
X Wu, S Yan, Z Bi, S Zhang, H Si
Geophysics 86 (5), R735-R745, 2021
902021
Multi-task 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
872019
Deep learning for relative geologic time and seismic horizons
Z Geng, X Wu, Y Shi, S Fomel
Geophysics 85 (4), WA87-WA100, 2020
832020
Hankel Low-Rank Approximation for Seismic Noise Attenuation
C Wang, Z Zhu, H Gu, X Wu, S Liu
IEEE Transactions on Geoscience and Remote Sensing 57 (1), 561-573, 2019
812019
Generating a relative geologic time volume by 3D graph-cut phase unwrapping method with horizon and unconformity constraints
X Wu, G Zhong
Geophysics 77 (4), O21-O34, 2012
792012
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