| 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 | 133 | 2018 |
| Gray-level transformation and Canny edge detection for 3D seismic discontinuity enhancement H Di, D Gao Computers & Geosciences 72, 192-200, 2014 | 115 | 2014 |
| Deep convolutional neural networks for seismic salt-body delineation H Di, Z Wang, G AlRegib AAPG annual convention and exhibition 2018, 2018 | 97 | 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 | 87 | 2017 |
| 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 | 85 | 2018 |
| 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 | 83 | 2020 |
| 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 | 83 | 2018 |
| 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 | 71 | 2014 |
| Patch-level MLP classification for improved fault detection H Di, M Shafiq, G AlRegib SEG technical program expanded abstracts 2018, 2211-2215, 2018 | 69 | 2018 |
| Improving seismic fault detection by super-attribute-based classification H Di, MA Shafiq, Z Wang, G AlRegib Interpretation 7 (3), SE251-SE267, 2019 | 67 | 2019 |
| 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 | 60 | 2019 |
| 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 | 57 | 2018 |
| 3D Seismic Flexure Analysis for Subsurface Fault Detection and Fracture Characterization H Di, D Gao Pure and Applied Geophysics 174, 747-761, 2017 | 57 | 2017 |
| A new algorithm for evaluating 3D curvature and curvature gradient for improved fracture detection H Di, D Gao Computers & Geosciences 70, 15-25, 2014 | 45 | 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 | 44 | 2018 |
| 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 | 40 | 2020 |
| Estimating subsurface properties using a semisupervised neural network approach H Di, A Abubakar Geophysics 87 (1), IM1-IM10, 2022 | 39 | 2022 |
| Accelerating seismic fault and stratigraphy interpretation with deep CNNs: A case study of the Taranaki Basin, New Zealand H Di, L Truelove, C Li, A Abubakar The Leading Edge 39 (10), 727-733, 2020 | 39 | 2020 |
| 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 | 38 | 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 | 38 | 2015 |
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