Stochastic and deterministic seismic inversion methods for thin-bed resolution R Zhang, MK Sen, S Phan, S Srinivasan Journal of Geophysics and Engineering 9 (5), 611-618, 2012 | 52 | 2012 |
Hopfield networks for high-resolution prestack seismic inversion S Phan, MK Sen SEG International Exposition and Annual Meeting, SEG-2018-2996244, 2018 | 18 | 2018 |
A Boltzmann machine for high-resolution prestack seismic inversion SDT Phan, MK Sen Interpretation 7 (3), SE215-SE224, 2019 | 11 | 2019 |
Porosity estimation from seismic data at Dickman Field, Kansas for carbon sequestration S Phan, MK Sen SEG International Exposition and Annual Meeting, SEG-2010-2299, 2010 | 11 | 2010 |
Deep learning with cross-shape deep Boltzmann machine for pre-stack inversion problem S Phan, M Sen SEG International Exposition and Annual Meeting, D033S039R005, 2019 | 7 | 2019 |
Predicting porosity, water saturation, and shale volume with high-resolution seismic inversion using Hopfield network: Upper Assam Basin, India SDT Phan, T Gogoi, R Chatterjee, MK Sen AAPG Bulletin 106 (1), 103-118, 2022 | 4 | 2022 |
Seismic nonstationary deconvolution with physics-guided autoencoder S Phan, MK Sen SEG International Exposition and Annual Meeting, D011S067R002, 2021 | 3 | 2021 |
An Integrated Deep Learning Workflow for Geologically Sequestered CO2 Monitoring W Hu, S Phan, C Li, T Shao, A Abubakar Third EAGE Digitalization Conference and Exhibition 2023 (1), 1-4, 2023 | 2 | 2023 |
Application of extended elastic impedance for gas indicator and sand outlining at Nam Con Son Basin, Offshore Vietnam S Phan, HM Hoang, NH Tran SPG/SEG 2016 International Geophysical Conference, Beijing, China, 20-22 …, 2016 | 2 | 2016 |
Deep Learning to Enforce Repeatability of Time-Lapse Seismic Measurements S Phan, W Hu, A Abubakar The Fourth EAGE Global Energy Transition Conference and Exhibition 2023 (1), 1-5, 2023 | 1 | 2023 |
Deep learning to predict subsurface properties from injected CO2 plume bodies using time-lapse seismic shot gathers S Phan, W Hu, A Abubakar Second International Meeting for Applied Geoscience & Energy, 2981-2985, 2022 | 1 | 2022 |
A cross-shape deep Boltzmann machine for petrophysical seismic inversion SD Phan, MK Sen AAPG Bulletin 106 (11), 2225-2237, 2022 | 1 | 2022 |
Machine learning algorithms for solving some seismic inversion challenges SDT Phan | 1 | 2021 |
Quick pre-stack seismic inversion to predict reservoir properties at a gas and condensate field in nam con son basin PDT Son, PT Vien, TH Nam, NA Quan, HM Hai PetroVietnam Journal 10 (40-44), 2017 | 1 | 2017 |
Quick pre-stack seismic inversion to predict reservoir properties at a gas and condensate field in Nam Con Son basin PDT Son, PT Vien, TH Nam, NA Quan, HM Hai Petrovietnam Journal 10, 40-44, 2017 | 1 | 2017 |
Time-lapse seismic data repeatability enforcement SDT Phan, W Hu Artificial Intelligence for Subsurface Characterization and Monitoring, 219-238, 2025 | | 2025 |
Direct property prediction from premigration seismic data SDT Phan, W Hu Artificial Intelligence for Subsurface Characterization and Monitoring, 239-257, 2025 | | 2025 |
Systems and methods for modeling a subsurface volume using time-lapse data W Hu, A Abubakar, H Di, SD Phan US Patent App. 18/690,407, 2024 | | 2024 |
Seismic image resolution enhancement with limited-well datasets using deep learning S Phan, H Di, W Hu, A Abubakar SEG International Exposition and Annual Meeting, SEG-2024-4094354, 2024 | | 2024 |
Supervised vs unsupervised deep learning for time-lapse seismic repeatability enforcement S Phan, W Hu, A Abubakar SEG International Exposition and Annual Meeting, SEG-2024-4094362, 2024 | | 2024 |