Xinming Wu
Title
Cited by
Cited by
Year
FaultSeg3D: using synthetic datasets 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
1102019
Horizon volumes with interpreted constraints
X Wu, D Hale
Geophysics 80 (2), IM21-IM33, 2015
872015
Directional structure-tensor-based coherence to detect seismic faults and channels
X Wu
Geophysics 82 (2), A13-A17, 2017
822017
3D seismic image processing for faults
X Wu, D Hale
Geophysics 81 (2), IM1-IM11, 2016
812016
Automatic salt-body classification using deep-convolutional neural network
Y Shi, X Wu, S Fomel
SEG Technical Program Expanded Abstracts 2018, 1971-1975, 2018
562018
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
482018
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
442012
Least-squares horizons with local slopes and multi-grid correlations
X Wu, S Fomel
Geophysics 83 (4), IM29-IM40, 2018
402018
Directional structure tensors in estimating seismic structural and stratigraphic orientations
X Wu, X Janson
Geophysical Journal International 210 (1), 534-548, 2017
402017
3D seismic image processing for unconformities
X Wu, D Hale
Geophysics 80 (2), IM35-IM44, 2015
352015
Automatic fault interpretation with optimal surface voting
X Wu, S Fomel
Geophysics 83 (5), O67-O82, 2018
33*2018
Methods to compute salt likelihoods and extract salt boundaries from 3D seismic images
X Wu
Geophysics 81 (6), IM119-IM126, 2016
332016
Moving faults while unfaulting 3D seismic images
X Wu, S Luo, D Hale
Geophysics 81 (2), IM25-IM33, 2016
312016
Moving faults while unfaulting 3D seismic images: 85th Annual International Meeting
X Wu, S Luo, D Hale
SEG, Expanded Abstracts, 1692-1697, 2015
31*2015
SaltSeg: Automatic 3D salt segmentation using a deep convolutional neural network
Y Shi, X Wu, S Fomel
Interpretation 7 (3), SE113-SE122, 2019
292019
Automatically interpreting all faults, unconformities, and horizons from 3D seismic images
X Wu, D Hale
Interpretation 4 (2), T227-T237, 2016
272016
Extracting horizons and sequence boundaries from 3D seismic images
X Wu, D Hale
SEG Technical Program Expanded Abstracts 2013, 1440-1445, 2013
262013
Methods to enhance seismic faults and construct fault surfaces
X Wu, Z Zhu
Computers & Geosciences 107, 37-48, 2017
252017
Convolutional neural networks for fault interpretation in seismic images: 88th Annual International Meeting
X Wu, Y Shi, S Fomel, L Liang
SEG, Expanded Abstracts 1950, 1946
231946
Structure-, stratigraphy- and fault-guided regularization in geophysical inversion
X Wu
Geophysical Journal International 210 (1), 184-195, 2017
222017
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