Semisupervised multiattribute seismic facies analysis J Qi, T Lin, T Zhao, F Li, K Marfurt Interpretation 4 (1), SB91-SB106, 2016 | 102 | 2016 |
Attribute expression of fault-controlled karst—Fort Worth Basin, Texas: A tutorial J Qi, B Zhang, H Zhou, K Marfurt Interpretation 2 (3), SF91-SF110, 2014 | 79 | 2014 |
Image processing of seismic attributes for automatic fault extraction J Qi, B Lyu, A AlAli, G Machado, Y Hu, K Marfurt Geophysics 84 (1), O25-O37, 2019 | 78 | 2019 |
Multispectral coherence F Li, J Qi, B Lyu, KJ Marfurt Interpretation 6 (1), T61-T69, 2018 | 62 | 2018 |
Deep learning for characterizing paleokarst collapse features in 3‐D seismic images X Wu, S Yan, J Qi, H Zeng Journal of Geophysical Research: Solid Earth 125 (9), e2020JB019685, 2020 | 60 | 2020 |
Seismic attribute selection for machine-learning-based facies analysis J Qi, B Zhang, B Lyu, K Marfurt Geophysics 85 (2), O17-O35, 2020 | 60 | 2020 |
Multiazimuth coherence J Qi, F Li, K Marfurt Geophysics 82 (6), O83-O89, 2017 | 60 | 2017 |
A workflow to skeletonize faults and stratigraphic features J Qi, G Machado, K Marfurt Geophysics 82 (4), O57-O70, 2017 | 47 | 2017 |
Seismic time-frequency decomposition by using a hybrid basis-matching pursuit technique X Wang, B Zhang, F Li, J Qi, B Bai Interpretation 4 (2), T239-T248, 2016 | 39 | 2016 |
Application of a PCA fault-attribute and spectral decomposition in Barnett Shale fault detection J Qi, J Castagna SEG International Exposition and Annual Meeting, SEG-2013-0674, 2013 | 31 | 2013 |
Multispectral coherence: Which decomposition should we use? B Lyu, J Qi, F Li, Y Hu, T Zhao, S Verma, KJ Marfurt Interpretation 8 (1), T115-T129, 2020 | 29 | 2020 |
Comparing convolutional neural networking and image processing seismic fault detection methods J Qi, B Lyu, X Wu, K Marfurt SEG International Exposition and Annual Meeting, D031S055R006, 2020 | 27 | 2020 |
Attribute mapping of variable-thickness incised valley-fill systems F Li, J Qi, K Marfurt The Leading Edge 34 (1), 48-52, 2015 | 26 | 2015 |
Seismic analysis of polygonal fault systems in the Great South Basin, New Zealand J Li, S Mitra, J Qi Marine and Petroleum Geology 111, 638-649, 2020 | 22 | 2020 |
Generating seismic horizon using multiple seismic attributes B Zhang, J Qi, Y Lou, H Fang, D Cao IEEE Geoscience and Remote Sensing Letters 18 (6), 979-983, 2020 | 20 | 2020 |
Horizon-based semiautomated nonhyperbolic velocity analysis B Zhang, T Zhao, J Qi, KJ Marfurt Geophysics 79 (6), U15-U23, 2014 | 20 | 2014 |
Supervised and unsupervised learning: How machines can assist quantitative seismic interpretation T Zhao, S Verma, J Qi, KJ Marfurt SEG International Exposition and Annual Meeting, SEG-2015-5924540, 2015 | 17 | 2015 |
Highlighting discontinuities with variational mode decomposition based coherence B Lyu, F Li, J Qi, T Zhao, KJ Marfurt SEG International Exposition and Annual Meeting, SEG-2018-2997710, 2018 | 13 | 2018 |
An enhanced fault detection workflow combining machine learning and seismic attributes yields an improved fault model for Caspian Sea asset C Laudon, J Qi, A Rondon, L Rouis, H Kabazi First break 39 (10), 53-60, 2021 | 12 | 2021 |
Seismic fault enhancement and skeletonization J Qi, F Li, B Lyu, O Olorunsola, K Marfurt, B Zhang SEG International Exposition and Annual Meeting, SEG-2016-13876567, 2016 | 12 | 2016 |