| Deep convolutional neural networks as a geological image classification tool RP De Lima, A Bonar, DD Coronado, K Marfurt, C Nicholson The Sedimentary Record 17 (2), 4-9, 2019 | 73 | 2019 |
| Petrographic microfacies classification with deep convolutional neural networks RP de Lima, D Duarte, C Nicholson, R Slatt, KJ Marfurt Computers & geosciences 142, 104481, 2020 | 69 | 2020 |
| Pretraining convolutional neural networks for mudstone petrographic thin-section image classification R Pires de Lima, D Duarte Geosciences 11 (8), 336, 2021 | 21 | 2021 |
| Progress and challenges in deep learning analysis of geoscience images RP De Lima, K Marfurt, D Duarte, A Bonar 81st EAGE Conference and Exhibition 2019 2019 (1), 1-5, 2019 | 21 | 2019 |
| Outcrop and subsurface geology applied to drilling, sweet spot and target zone detection of resource shales: the Woodford example RM Slatt, Zhang, C Molinares, E Torres, D Duarte, B Milad, ... Unconventional Resources Technology Conference, Houston, Texas, 23-25 July …, 2018 | 18 | 2018 |
| Deep convolutional neural networks as an estimator of porosity in thin-section images for unconventional reservoirs D Duarte-Coronado, J Tellez-Rodriguez, R Pires de Lima, K Marfurt, ... SEG Technical Program Expanded Abstracts 2019, 3181-3184, 2019 | 13 | 2019 |
| Rock Charaterization and Stratigraphy of the Mississippian Strata, Meramec/Sycamore. Merge Play, Central Oklahoma DD Coronado University of Oklahoma, 2018 | 12* | 2018 |
| Diagenetic controls on reservoir quality of a mixed carbonate-siliciclastic system: Sycamore Formation, Sho-Vel-Tum Field, Oklahoma, USA D Duarte, B Milad, RD Elmore, M Pranter, RM J. Slatt Marine and Petroleum Geology 134, 105375, 2021 | 11 | 2021 |
| An eolian dust origin for clastic fines of Devono-Mississippian mudrocks of the greater North American midcontinent AJ McGlannan, A Bonar, L Pfeifer, S Steinig, P Valdes, S Adams, ... Journal of Sedimentary Research 92 (12), 1186-1206, 2022 | 10 | 2022 |
| Comparison of clustering techniques to define chemofacies in mississippian rocks in the STACK Play, Oklahoma D Duarte, R Lima, R Slatt, K Marfurt American association of petroleum geologists search and discovery 42523, 2020 | 6 | 2020 |
| Unconventional petroleum resources RM Slatt, J Zhang, E Torres-Parada, R Brito, D Duarte, B Milad Academic Press, 2021 | 5 | 2021 |
| Rock and fracture characterization of the Woodford Shale along the I-35 Outcrop: American Association of Petroleum Geologists Search and Discovery H Galvis-Portilla, D Becerra-Rondon, D Duarte, R Slatt AAPG-SPE Joint Forum Reality-Based Reservoir Development: New Teams …, 2016 | 4* | 2016 |
| Spatial variability of petrofacies using supervised machine learning and geostatistical modeling: Sycamore Formation, Sho-Vel-Tum Field, Oklahoma, USA D Duarte, R Pires de Lima, J Tellez, MJ Pranter Interpretation 11 (2), T289-T302, 2023 | 1 | 2023 |
| A model for the origin of Devono-Mississippian mudrocks in greater midcontinent North America AJ Mcglannan, AL Bonar, LS Pfeifer, S Adams, D Duarte, C Totten, ... GSA Annual Meeting in Phoenix, Arizona, USA, 2019 | 1 | 2019 |
| An eolian dust origin for clastic fines of Devono-Mississippian mudrocks of the greater North American midcontinent—Reply AJ McGlannan, A Bonar, L Pfeifer, S Steinig, P Valdes, S Adams, ... Journal of Sedimentary Research 94 (1), 156-157, 2024 | | 2024 |
| Fine-scale lamination/bedding: An important factor in unconventional reservoirs hydrocarbon productivity C Molinares-Blanco, D Becerra-Rondon, H Galvis-Portilla, D Duarte Unconventional Resources Technology Conference, 20–22 June 2022, 1189-1201, 2022 | | 2022 |
| Eolian Dust Sourced Devono-Mississippian Mudrocks of the Greater North American Midcontinent A McGlannan, A Bonar, S Steinig, PJ Valdes, LS Pfeifer, S Adams, ... Geological Society of America Abstracts 54, 383053, 2022 | | 2022 |
| Stratigraphic and diagenetic controls on petrofacies and reservoir-quality variability using semi-supervised and supervised machine learning methods: sycamore formation, Sho … D Duarte-Coronado The University of Oklahoma, 2021 | | 2021 |
| From rocks to models revisited: using machine learning techniques to link thin-section petrography and 3D facies modeling. D Duarte, MJ Pranter AAPG 2021 Mid-Continent Section, 2021 | | 2021 |
| Classification of Sycamore Formation Petrofacies with Semi-Supervised and Supervised Machine Learning Techniques, Sho-Vel-Tum Field, Ardmore Basin, Oklahoma, USA D Duarte, R Pires de Lima, M Pranter First International Meeting for Applied Geoscience & Energy, 2021 | | 2021 |