| 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 | 115 | 2018 |
| Gray-level transformation and Canny edge detection for 3D seismic discontinuity enhancement H Di, D Gao Computers & Geosciences 72, 192-200, 2014 | 98 | 2014 |
| Deep convolutional neural networks for seismic salt-body delineation H Di, Z Wang, G AlRegib AAPG annual convention and exhibition 2018, 2018 | 89 | 2018 |
| 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 | 75 | 2018 |
| 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 | 73 | 2018 |
| 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 | 73 | 2017 |
| 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 | 68 | 2020 |
| 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 | 63 | 2014 |
| Improving seismic fault detection by super-attribute-based classification H Di, MA Shafiq, Z Wang, G AlRegib Interpretation 7 (3), SE251-SE267, 2019 | 60 | 2019 |
| Patch-level MLP classification for improved fault detection H Di, M Shafiq, G AlRegib SEG Technical Program Expanded Abstracts 2018, 2211-2215, 2018 | 60 | 2018 |
| 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 | 51 | 2018 |
| 3D Seismic Flexure Analysis for Subsurface Fault Detection and Fracture Characterization H Di, D Gao Pure and Applied Geophysics 174, 747-761, 2017 | 51 | 2017 |
| 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 | 50 | 2019 |
| A new algorithm for evaluating 3D curvature and curvature gradient for improved fracture detection H Di, D Gao Computers & Geosciences 70, 15-25, 2014 | 43 | 2014 |
| Why using CNN for seismic interpretation? An investigation H Di, Z Wang, G AlRegib SEG International Exposition and Annual Meeting, SEG-2018-2997155, 2018 | 39 | 2018 |
| 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 | 37 | 2016 |
| Deep convolutional neural networks for seismic salt-body delineation: Presented at the AAPG Annual Convention and Exhibition H Di, Z Wang, G AlRegib | 36 | 2018 |
| 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 | 33 | 2016 |
| 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 | 33 | 2015 |
| 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 | 32 | 2020 |
Ghassan AlRegibSchool of Electrical and Computer Engineering, Georgia TechVerified email at gatech.edu
