| S velocity variations beneath North America H Bedle, S Van Der Lee Journal of Geophysical Research: Solid Earth 114 (B7), 2009 | 147 | 2009 |
| Joint inversion for three‐dimensional S velocity mantle structure along the Tethyan margin SJ Chang, S Van Der Lee, MP Flanagan, H Bedle, F Marone, EM Matzel, ... Journal of Geophysical Research: Solid Earth 115 (B8), 2010 | 83 | 2010 |
| Machine learning model interpretability using SHAP values: Application to a seismic facies classification task D Lubo-Robles, D Devegowda, V Jayaram, H Bedle, KJ Marfurt, ... SEG international exposition and annual meeting, D021S008R006, 2020 | 36 | 2020 |
| Fossil flat-slab subduction beneath the Illinois basin, USA H Bedle, S van der Lee Tectonophysics 424 (1-2), 53-68, 2006 | 32 | 2006 |
| Deepwater seismic facies and architectural element interpretation aided with unsupervised machine learning techniques: Taranaki basin, New Zealand K La Marca, H Bedle Marine and Petroleum Geology 136, 105427, 2022 | 21 | 2022 |
| Nature versus nurture: Preservation and destruction of Archean cratons H Bedle, CM Cooper, CD Frost Tectonics 40 (9), e2021TC006714, 2021 | 17 | 2021 |
| Seismic stratigraphic patterns and characterization of deepwater reservoirs of the Mundaú sub-basin, Brazilian Equatorial Margin KML Oliveira, H Bedle, RMGC Branco, ACB de Souza, ... Marine and Petroleum Geology 116, 104310, 2020 | 17 | 2020 |
| Radial anisotropy along the Tethyan margin SJ Chang, S Van Der Lee, E Matzel, H Bedle Geophysical Journal International 182 (2), 1013-1024, 2010 | 17 | 2010 |
| Quantifying the sensitivity of seismic facies classification to seismic attribute selection: An explainable machine-learning study D Lubo-Robles, D Devegowda, V Jayaram, H Bedle, KJ Marfurt, ... Interpretation 10 (3), SE41-SE69, 2022 | 13 | 2022 |
| Modeling of subsurface sedimentary facies using self-attention generative adversarial networks (SAGANs) M Chen, S Wu, H Bedle, P Xie, J Zhang, Y Wang Journal of Petroleum Science and Engineering 214, 110470, 2022 | 12 | 2022 |
| Seismic facies identification in a deepwater channel complex applying seismic attributes and unsupervised machine learning techniques. A case study in the Taranaki Basin, New … K La Marca-Molina, C Silver, H Bedle, R Slatt SEG Technical Program Expanded Abstracts 2019, 2059-2063, 2019 | 12 | 2019 |
| Seismic attribute analyses and attenuation applications for detecting gas hydrate presence R Clairmont, H Bedle, K Marfurt, Y Wang Geosciences 11 (11), 450, 2021 | 10 | 2021 |
| Multi-attribute machine learning analysis for weak BSR detection in the Pegasus Basin, Offshore New Zealand J Chenin, H Bedle Marine Geophysical Research 41 (4), 21, 2020 | 10 | 2020 |
| Seismic attribute enhancement of weak and discontinuous gas hydrate bottom-simulating reflectors in the Pegasus Basin, New Zealand H Bedle Interpretation 7 (3), SG11-SG22, 2019 | 10 | 2019 |
| Evaluation of principal component analysis for seismic attribute selection and self-organizing maps for seismic facies discrimination in the presence of gas hydrates D Lubo-Robles, H Bedle, KJ Marfurt, MJ Pranter Marine and Petroleum Geology 150, 106097, 2023 | 7 | 2023 |
| Unsupervised machine learning, multi-attribute analysis for identifying low saturation gas reservoirs within the deepwater Gulf of Mexico, and Offshore Australia J Chenin, H Bedle Geosciences 12 (3), 132, 2022 | 6 | 2022 |
| Controls of pre‐existing structures on clinoform architecture and the associated progradational system elements R Clairmont, F Kolawole, AP Omale, H Bedle Basin Research 33 (2), 875-902, 2021 | 6 | 2021 |
| Multiattribute analysis for channel element discrimination in the Taranaki Basin, offshore New Zealand P Amonpantang, H Bedle, J Wu Interpretation 7 (2), SC45-SC61, 2019 | 6 | 2019 |
| Insights into the geomorphology of the Ceará Basin, Brazil, by combining seismic attributes, machine learning, and rock-physics analyses KM Leopoldino Oliveira, AV Arroyo, H Bedle, F Nepomuceno Filho Geological Society, London, Special Publications 525 (1), SP525-2020-254, 2024 | 5 | 2024 |
| Seismic identification of carbonate reservoir sweet spots using unsupervised machine learning: A case study from Brazil deep water Aptian pre-salt data MVR Maas, H Bedle, MC de Matos Marine and Petroleum Geology 151, 106199, 2023 | 4 | 2023 |
Karelia La MarcaPhD. student, University of OklahomaVerified email at ou.edu
