| Highly aliased ground-roll suppression using a 3D multiwindow Karhunen-Loeve filter: Application to a legacy Mississippi Lime survey S Verma, S Guo, T Ha, KJ Marfurt Geophysics 81 (1), V79-V88, 2016 | 29 | 2016 |
| Exhaustive probabilistic neural network for attribute selection and supervised seismic facies classification D Lubo-Robles, T Ha, S Lakshmivarahan, KJ Marfurt, MJ Pranter Interpretation 9 (2), T421-T441, 2021 | 19 | 2021 |
| An in-depth analysis of logarithmic data transformation and per-class normalization in machine learning: Application to unsupervised classification of a turbidite system in the … TN Ha, D Lubo-Robles, KJ Marfurt, BC Wallet Interpretation 9 (3), T685-T710, 2021 | 13 | 2021 |
| Supervised seismic facies classification using probabilistic neural networks: Which attributes should the interpreter use? D Lubo-Robles, T Ha, S Lakshmivarahan, KJ Marfurt SEG International Exposition and Annual Meeting, D033S038R008, 2019 | 12 | 2019 |
| Calibration of attribute anomalies through prestack seismic modeling S Verma, O Mutlu, T Ha, W Bailey, KJ Marfurt Interpretation 3 (4), SAC55-SAC70, 2015 | 10 | 2015 |
| Quantifying the significance of coherence anomalies T Lin, T Ha, KJ Marfurt, KL Deal Interpretation 4 (2), T205-T213, 2016 | 8 | 2016 |
| A review of some amplitude-based seismic geometric attributes and their applications S Verma, S Chopra, T Ha, F Li Interpretation 10 (1), B1-B12, 2022 | 7 | 2022 |
| Pitfalls and implementation of data conditioning, attribute analysis, and self-organizing maps to 2D data: Application to the Exmouth Plateau, North Carnarvon Basin, Australia TN Ha, KJ Marfurt, BC Wallet, B Hutchinson Interpretation 7 (3), SG23-SG42, 2019 | 7 | 2019 |
| Seismic characterization of a Triassic-Jurassic deep geothermal sandstone reservoir, onshore Denmark, using unsupervised machine learning techniques S Chopra, RK Sharma, K Bredesen, T Ha, KJ Marfurt Interpretation 9 (4), T1097-T1106, 2021 | 6 | 2021 |
| A deep-learning method for latent space analysis of multiple seismic attributes BC Wallet, TN Ha Interpretation 9 (3), T945-T954, 2021 | 4 | 2021 |
| Seismic reprocessing and interpretation of a fractured-basement play: Texas Panhandle T Ha, K Marfurt Interpretation 5 (3), SK179-SK187, 2017 | 4 | 2017 |
| Seismic interpretation of the Exmouth Plateau, North Carnarvon Basin, Australia: An application of data conditioning, seismic attributes, and self-organizing map on 2D data T Ha, B Wallet, K Marfurt SEG International Exposition and Annual Meeting, SEG-2017-17742212, 2017 | 3 | 2017 |
| The value of constrained conjugate-gradient least-squares migration in seismic inversion: Application to a fractured-basement play, Texas Panhandle T Ha, K Marfurt Interpretation 5 (3), SN13-SN23, 2017 | 3 | 2017 |
| Quantitative-statistical relationship between seismic attributes and wastewater injection parameters in Oklahoma G Machado, T Ha, K Marfurt SEG International Exposition and Annual Meeting, SEG-2018-2998591, 2018 | 2 | 2018 |
| Seismic reservoir characterization of the Gassum Formation in the Stenlille aquifer gas storage, Denmark—Part 2: Unsupervised classification S Chopra, RK Sharma, K Bredesen, T Ha, KJ Marfurt Interpretation 10 (4), T749-T758, 2022 | 1 | 2022 |
| Seismic data conditioning, attribute analysis, and machine-learning facies classification: Applications to Texas panhandle, Australia, New Zealand, and Gulf of Mexico T Ha | 1 | 2021 |
| Deep learning method for latent space analysis B Wallet, T Ha SPE Middle East Oil and Gas Show and Conference, D032S063R003, 2019 | 1 | 2019 |
| Seismic reprocessing and interpretation of a shallow “buried-hill” play: Texas Panhandle T Ha* SEG Technical Program Expanded Abstracts 2015, 1830-1834, 2015 | 1 | 2015 |
| Assessment of spectral attributes in identifying gas hydrates in seismic data from the Pegasus Basin, offshore New Zealand E Jackson, H Bedle, T Ha Marine Geophysical Research 44 (4), 21, 2023 | | 2023 |
| Two statistical attributes for evaluating attenuation response due to gas hydrates E Jackson, H Bedle, T Ha SEG International Exposition and Annual Meeting, D011S104R001, 2022 | | 2022 |
