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Haibin Di
Haibin Di
Senior Data scientist, SLB
Verified email at slb.com - Homepage
Title
Cited by
Cited by
Year
Successful leveraging of image processing and machine learning in seismic structural interpretation: A review
Z Wang, H Di, MA Shafiq, Y Alaudah, G AlRegib
The Leading Edge 37 (6), 451-461, 2018
1282018
Gray-level transformation and Canny edge detection for 3D seismic discontinuity enhancement
H Di, D Gao
Computers & Geosciences 72, 192-200, 2014
1142014
Deep convolutional neural networks for seismic salt-body delineation
H Di, Z Wang, G AlRegib
AAPG annual convention and exhibition 2018, 2018
952018
Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective
G AlRegib, M Deriche, Z Long, H Di, Z Wang, Y Alaudah, MA Shafiq, ...
IEEE Signal Processing Magazine 35 (2), 82-98, 2018
832018
Seismic-fault detection based on multiattribute support vector machine analysis
H Di, MA Shafiq, G AlRegib
SEG International Exposition and Annual Meeting, SEG-2017-17748277, 2017
822017
Seismic fault detection from post-stack amplitude by convolutional neural networks
H Di, Z Wang, G AlRegib
80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018
812018
Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow
H Di, Z Li, H Maniar, A Abubakar
Geophysics 85 (4), WA77-WA86, 2020
792020
Multi-attributes and neural network-based fault detection in 3D seismic interpretation
ZH Zheng, P Kavousi, HB Di
Advanced Materials Research 838, 1497-1502, 2014
702014
Patch-level MLP classification for improved fault detection
H Di, M Shafiq, G AlRegib
SEG technical program expanded abstracts 2018, 2211-2215, 2018
662018
Improving seismic fault detection by super-attribute-based classification
H Di, MA Shafiq, Z Wang, G AlRegib
Interpretation 7 (3), SE251-SE267, 2019
642019
Developing a seismic texture analysis neural network for machine-aided seismic pattern recognition and classification
H Di, D Gao, G AlRegib
Geophysical Journal International 218 (2), 1262-1275, 2019
592019
Multi-attribute k-means clustering for salt-boundary delineation from three-dimensional seismic data
H Di, M Shafiq, G AlRegib
Geophysical Journal International 215 (3), 1999-2007, 2018
572018
3D Seismic Flexure Analysis for Subsurface Fault Detection and Fracture Characterization
H Di, D Gao
Pure and Applied Geophysics 174, 747-761, 2017
552017
A new algorithm for evaluating 3D curvature and curvature gradient for improved fracture detection
H Di, D Gao
Computers & Geosciences 70, 15-25, 2014
452014
Why using CNN for seismic interpretation? An investigation
H Di, Z Wang, G AlRegib
SEG International Exposition and Annual Meeting, SEG-2018-2997155, 2018
442018
A comparison of seismic saltbody interpretation via neural networks at sample and pattern levels
H Di, G AlRegib
Geophysical Prospecting 68 (2), 521-535, 2020
392020
Efficient volumetric extraction of most positive/negative curvature and flexure for fracture characterization from 3D seismic data
H Di, D Gao
Geophysical Prospecting 64, 1454-1468, 2016
382016
Real-time seismic-image interpretation via deconvolutional neural network
H Di, Z Wang, G AlRegib
SEG International Exposition and Annual Meeting, SEG-2018-2997303, 2018
372018
Improved estimates of seismic curvature and flexure based on 3D surface rotation in the presence of structure dip
H Di, D Gao
Geophysics 81 (2), IM13-IM23, 2016
372016
Extreme curvature and extreme flexure analysis for fracture characterization from 3D seismic data: New analytical algorithms and geologic implications
D Gao, H Di
Geophysics 80 (2), IM11-IM20, 2015
372015
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