Publication


Peer-reviewed journal papers 


36. Pham, N., X. Wu*, and E. Naeini, Missing well log prediction using convolutional long short-term memory network. Geophysics, in revision. [Link]
35. Geng, Z., X. Wu*, Y. Shi, S. Fomel, 2019, Deep learning for relative geologic time and seismic horizons. Geophysics, in revision. [Link]
34. Wu, X., Z. Geng, Y. Shi, N. Pham, S. Fomel, and G. Caumon, Building realistic structure models to train deep convolutional neural networks for seismic structural interpretation. Geophysics, minor revision. [Link]
33. Li, F., H. Zhou, and Z. Wang, X. Wu, 2019,DANet: A Dilated Attention Based Deep Convolutional Network for Seismic Facies Analysis with Interpretable Spatial-Spectral Maps. IEEE TGRS, submitted.
32. Merzlikin, D., S. Fomel and X. Wu, 2019, Least-squares diffraction imaging using shaping regularization by anisotropic smoothing. Geophysics, in submission.
31. Geng, Z., X. Wu, S. Fomel, Y. Chen, 2019, RT-seislet Transform. Geophysics, in revision.
30 Wu, X., L. Liang, Y. Shi, Z. Geng and S. Fomel, 2019, Deep learning for local seismic image processing: fault detection, structure-oriented smoothing with edge-preserving, and seismic normal estimation by using a single CNN. GJI, minor revision. [Link]

29. Wu, X., Y. Shi, S. Fomel, L. Liang, Q. Zhang and A. Yusifov, 2019, FaultNet3D: predicting fault probabilities, strikes and dips with a single convolutional neural network. IEEE TGRShttps://doi.org/10.1109/TGRS.2019.2925003  [results]
28. Shi, Y., X. Wu and S. Fomel, 2019, SaltSeg: Automatic 3D salt body segmentation using a deep convolutional neural network. Interpretation, Vol. 7(3), SE113-SE122.
27. D., H., T. Zhao, V. Jayaram, X. Wu et al., 2019, Introduction to special section: Machine learning in seismic data analysis. Interpretation.
26. Wu, X., H. Zeng, H. Di et al., 2019, Introduction to special section: seismic geometric attributes. Interpretation, Vol. 7(2).
25. Zhong, Z., T. Carr, G. Wang and X. Wu, 2019, Application of convolutional neural network in permeability prediction: A case study in Jacksonburg-Stringtown Oil Field, West Virginia, USA. Geophysics, accepted.
24. Wu, X., L. Liang, Y. Shi and S. Fomel, 2019, FaultSeg3D: using synthetic datasets to train an end-to-end convolutional neural network for 3D seismic fault segmentation. Geophysics, Vol. 84(3), IM35-IM45.  [CODE] [Link] [PDF].
23. Bader, S., X. Wu and S. Fomel, 2019, Missing log data interpolation and semiautomatic seismic well ties using data matching techniques. Interpretation, Vol. 7(2), T347-T361. [PDF(Best Student Poster Paper at the 2017 SEG Annual Convention)
22. Wu, X. and Z. Guo, 2019, Detecting faults and channels while enhancing seismic structural and stratigraphic features. Interpretation, Vol. 7(1), T155–T166. [PDF] [CODE]

21. Wu, X. and S. Fomel, 2018, Automatic fault interpretation with optimal surface voting. Geophysics, Vol. 83(5), O67-O82. [PDF]  [CODE]  (my recent favorite work)
20. Wu, X. and S. Fomel, 2018, Least-squares horizons with local slopes and multi-grid correlations, Geophysics, Vol. 83(4), IM29–IM40. [PDF]  [CODE]  (Honorable Mention Award for Best Paper at the 2018 SEG Annual Convention)
19. Wu, X., S. Fomel, and M. Hudec, 2018, Fast salt boundary interpretation with optimal path picking. Geophysics, Vol. 83(3), O45–O53. [PDF]  [CODE]
18. Wu, X., Y. Shi, S. Fomel, and F. Li, 2018, Incremental correlation of multiple well logs following geologically optimal neighbors. Interpretation, Vol. 6(3), T713–T722. [PDF]
17. Wang, C., Z. Zhu, H. Gu, X. Wu, and S. Liu, 2018, Hankel low-rank approximation for seismic noise attenuation. IEEE Transactions on Geoscience and Remote Sensing. Vol. 57(1), 561–573.
16. Xue, Z., X., Wu and S. Fomel, 2018, Predictive painting across faults. Interpretation, Vol. 6(2),T449–T455. [PDF]
15. Li, G., Z., Zhu, Z., X., Wu and P. Hou, 2018, On joint optimization of  sensing matrix and sparsifying dictionary for robust compressed sensing systems. Digital Signal Processing, Vol. 73, 62–71.

14. Wu, X. , 2017, Structure-, stratigraphy-, and fault-guided regularization in geophysical inversion. Geophysical Journal International, Vol. 210(1), 184-195. [PDF]
13. Tong, B., I., Tsvankin, and X., Wu, 2017, Waveform inversion for attenuation estimation in anisotropic media. Geophysics, Vol. 82(4), WA83-WA93.[PDF]
12. Wu, X. and Z. Zhu, 2017, Methods to enhance seismic faults and construct fault surfaces. Computers & Geosciences, Vol. 107, 37-48.
11. Wu, X. and X., Janson, 2017, Directional structure tensors in estimating seismic structural and stratigraphic orientations. Geophysical Journal International, Vol. 210(1), 534-548. [PDF]
10. Wu, X., 2017, Building 3D subsurface models conforming to seismic structural and stratigraphic features. Geophysics, Vol.82(3), IM21-IM30. [PDF] 
09. Wu, X. and G. Caumon, 2017, Simultaneous multiple well-seismic ties with flattened synthetic and real seismograms. Geophysics, Vol. 82(1), IM13-IM20. [PDF] 
08. Wu, X. , 2017, Directional structure-tensor based coherence to detect seismic channels and faults. Geophysics, Vol. 82(2), A13-A17.  [PDF]  (“Geophysics Bright Spots” by The Leading Edge)

07. Wu, X. and D. Hale, 2016, 3D seismic image processing for faults. Geophysics, 81(2), IM1–IM11. [PDF]  [CODE]  (2016 Best Paper Award in Geophysics)
06. Wu, X., 2016, Methods to compute salt likelihoods and extract salt boundaries from 3D seismic images. Geophysics, 81(6), IM119-IM126. [PDF]
05. Wu, X. and D. Hale, 2016, Automatically interpreting all faults, unconformities, and horizons from 3D seismic images. Interpretation, 4(2), T227-T237. [PDF] 
04. Wu, X., S. Luo, and D. Hale, 2016, Moving faults while unfaulting 3D seismic images. Geophysics, 81(2), IM25-IM33. [PDF] (“Geophysics Bright Spots” by The Leading Edge)

03. Wu, X. and D. Hale, 2015, 3D seismic image processing for unconformities. Geophysics, 80 (2), IM35-IM44. [PDF]  (“Geophysics Bright Spots” by The Leading Edge)
02. Wu, X. and D. Hale, 2015, Horizon volumes with interpreted constraints. Geophysics, 80 (2), IM21-IM33. [PDF]  (“Geophysics Bright Spots” by The Leading Edge)

01. Wu, X. and G. Zhong, 2012, Generating a relative geologic time volume by improved 3D graph-cut-based phase unwrapping method with horizon and unconformity constraints. Geophysics, 77 (4), O21-O34. [PDF] 

(Google Scholar)



Recent peer-reviewed expanded abstracts

—————————2019—————————
Wu, X., Z. Geng, Y. Shi, N. Pham, and S. Fomel, 2019, Building realistic structure models to train convolutional neural networks for seismic structural interpretation. 89th Annual Meeting of the Society of Exploration Geophysics, Expanded Abstracts. (Invited talk)
Wu, X., L. Liang, Y. Shi, Z. Geng, Y. Shi, and S. Fomel, 2019, Deep learning for local seismic image processing: fault detection, structure-oriented smoothing with edge-preserving, and slope estimation by using a single convolutional neural network89th Annual Meeting of the Society of Exploration Geophysics, Expanded Abstracts. (Oral talk)
Shi, Y. and X. Wu, 2019, Interactive tracking of seismic geobodies using deep learning flood-filling network89th Annual Meeting of the Society of Exploration Geophysics, Expanded Abstracts. (Oral talk)
Geng, Z., X. Wu, and S. Fomel, 2019, Relative geologic time estimation using a deep convolutional neural network89th Annual Meeting of the Society of Exploration Geophysics, Expanded Abstracts. (Oral talk)
Pham, N. and X. Wu, 2019, Missing sonic log prediction using convolutional long short-term memory. 89th Annual Meeting of the Society of Exploration Geophysics, Expanded Abstracts. (Oral talk)
—————————2018—————————
Wu, X., Y. Shi, and S. Fomel, 2018, Deep learning for seismic interpretation, AGU Annual Fall Meeting.
Wu, X., Y. Shi, S. Fomel, and L. Liang, Convolutional neural network for fault interpretation in seismic images. 88th Annual Meeting of the Society of Exploration Geophysics, Expanded Abstracts. (Oral talk)
Y. Shi, X., Wu, and S. Fomel, Automatic salt-body classification using a deep convolutional neural network. 88th Annual Meeting of the Society of Exploration Geophysics, Expanded Abstracts. (Oral talk)
Wu, X. and S. Fomel, Least-squares horizons with multi-grid correlations. 88th Annual Meeting of the Society of Exploration Geophysics, Expanded Abstracts. (Oral talk)
Wu, X. and S. Fomel, Automatic fault interpretation with optimal surface voting. 88th Annual Meeting of the Society of Exploration Geophysics, Expanded Abstracts. (Oral talk)
Niu, L., X., Wu, and J. Geng, Structure-guided harmonic and biharmonic interpolation. 88th Annual Meeting of the Society of Exploration Geophysics, Expanded Abstracts.
D. Merzlikin, S. Fomel, and X., Wu, Least-squares diffraction imaging using shaping regularization by anisotropic smoothing. 88th Annual Meeting of the Society of Exploration Geophysics, Expanded Abstracts. (Oral talk)
Niu, L., J., Geng and X., Wu, 2018, Linearized AVO inversion with modified Aki-Richards’ approximation. 80th EAGE Conference & Exhibition, Expanded Abstracts.
Bader, S., X., Wu and S. Fomel, 2018, Missing well log estimation by multiple well-log correlation. 80th EAGE Conference & Exhibition, Expanded Abstracts.