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Haibin Di
Observed names:
Di, Haibin,
H. Di,
Hai Bin Di,
Haibin Di*
Institution:
Schlumberger (United States)
Observed institutions:
Sinopec (China),
West Virginia University,
Georgia Institute of Technology,
University of Alabama,
Schlumberger (United States),
Ocean University of China
show all 6
ORCID:
0000-0003-2194-9779
Observed ORCID:
0000-0003-2194-9779
OpenAlex ID:
A5086568371
Successful leveraging of image processing and machine learning in seismic structural interpretation: A review
2018
·
Zhen Wang
, Haibin Di
, et al.
·
The Leading Edge
·
142
Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow
2020
·
Haibin Di
, Zhun Li
, et al.
·
Geophysics
·
92
Gray-level transformation and Canny edge detection for 3D seismic discontinuity enhancement
2014
·
Haibin Di
, Dengliang Gao
·
Computers & Geosciences
·
91
Seismic-fault detection based on multiattribute support vector machine analysis
2017
·
Haibin Di
, Muhammad Amir Shafiq
, et al.
·
Second International Meeting for Applied Geoscience & Energy
·
90
Seismic Fault Detection from Post-Stack Amplitude by Convolutional Neural Networks
2018
·
H. Di
, Z. Wang
, et al.
·
Proceedings
·
88
Deep Convolutional Neural Networks for Seismic Salt-Body Delineation
2018
·
Haibin Di
, Zhen Wang
, et al.
·
AAPG Annual Convention and Exhibition (ACE)
·
86
Improving seismic fault detection by super-attribute-based classification
2019
·
Haibin Di
, Mohammod Amir Shafiq
, et al.
·
Interpretation
·
75
Patch-level MLP classification for improved fault detection
2018
·
Haibin Di
, Muhammad Shafiq
, et al.
·
Second International Meeting for Applied Geoscience & Energy
·
73
Subsurface Structure Analysis Using Computational Interpretation and Learning: A Visual Signal Processing Perspective
2018
·
Ghassan AlRegib
, Mohamed Deriche
, et al.
·
IEEE Signal Processing Magazine
·
73
PDF
Multi-attribute k-means clustering for salt-boundary delineation from three-dimensional seismic data
2018
·
Haibin Di
, Muhammad Shafiq
, et al.
·
Geophysical Journal International
·
71
Developing a seismic texture analysis neural network for machine-aided seismic pattern recognition and classification
2019
·
Haibin Di
, Dengliang Gao
, et al.
·
Geophysical Journal International
·
65
3D Seismic Flexure Analysis for Subsurface Fault Detection and Fracture Characterization
2016
·
Haibin Di
, Dengliang Gao
·
Pure and Applied Geophysics
·
63
Efficient volumetric extraction of most positive/negative curvature and flexure for fracture characterization from 3D seismic data
2015
·
Haibin Di
, Dengliang Gao
·
Geophysical Prospecting
·
50
Multi-Attributes and Neural Network-Based Fault Detection in 3D Seismic Interpretation
2013
·
Zhi Hong Zheng
, Payam Kavousi
, et al.
·
Advanced materials research
·
50
A new algorithm for evaluating 3D curvature and curvature gradient for improved fracture detection
2014
·
Haibin Di
, Dengliang Gao
·
Computers & Geosciences
·
49
Estimating subsurface properties using a semisupervised neural network approach
2021
·
Haibin Di
, Aria Abubakar
·
Geophysics
·
42
Real-time seismic-image interpretation via deconvolutional neural network
2018
·
Haibin Di
, Zhen Wang
, et al.
·
Second International Meeting for Applied Geoscience & Energy
·
40
Why using CNN for seismic interpretation? An investigation
2018
·
Haibin Di
, Zhen Wang
, et al.
·
Second International Meeting for Applied Geoscience & Energy
·
39
Improved estimates of seismic curvature and flexure based on 3D surface rotation in the presence of structure dip
2016
·
Haibin Di
, Dengliang Gao
·
Geophysics
·
39
Wasserstein cycle-consistent generative adversarial network for improved seismic impedance inversion: Example on 3D SEAM model
2020
·
Ao Cai
, Haibin Di
, et al.
·
Second International Meeting for Applied Geoscience & Energy
·
38
Extreme curvature and extreme flexure analysis for fracture characterization from 3D seismic data: New analytical algorithms and geologic implications
2015
·
Dengliang Gao
, Haibin Di
·
Geophysics
·
37
Using relative geologic time to constrain convolutional neural network-based seismic interpretation and property estimation
2021
·
Haibin Di
, Zhun Li
, et al.
·
Geophysics
·
36
Accelerating seismic fault and stratigraphy interpretation with deep CNNs: A case study of the Taranaki Basin, New Zealand
2020
·
Haibin Di
, Leigh Truelove
, et al.
·
The Leading Edge
·
36
A comparison of seismic saltbody interpretation via neural networks at sample and pattern levels
2019
·
Haibin Di
, Ghassan AlRegib
·
Geophysical Prospecting
·
36
Imposing interpretational constraints on a seismic interpretation convolutional neural network
2021
·
Haibin Di
, Cen Li
, et al.
·
Geophysics
·
34
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Works count:
120
Citation count:
2,087
H-index:
27
I10-index:
47
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