| 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 | 45 | 2012 |
| Hopfield networks for high-resolution prestack seismic inversion S Phan, MK Sen SEG International Exposition and Annual Meeting, SEG-2018-2996244, 2018 | 14 | 2018 |
| 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 |
| A Boltzmann machine for high-resolution prestack seismic inversion SDT Phan, MK Sen Interpretation 7 (3), SE215-SE224, 2019 | 10 | 2019 |
| 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 | 6 | 2019 |
| Seismic nonstationary deconvolution with physics-guided autoencoder S Phan, MK Sen SEG International Exposition and Annual Meeting, D011S067R002, 2021 | 3 | 2021 |
| 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 |
| A cross-shape deep Boltzmann machine for petrophysical seismic inversion SD Phan, MK Sen AAPG Bulletin 106 (11), 2225-2237, 2022 | 1 | 2022 |
| 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 | 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 |
| 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 | | 2023 |
| Time-lapse seismic data deblending with deep learning T Shao, W Hu, S Phan, H Di, A Abubakar 84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023 | | 2023 |
| 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 | | 2023 |
| Delineate CO2 Plume Bodies by Mapping Subsurface Property Changes from Time-Lapse Seismic Gathers with Deep Learning S Phan, W Hu, A Abubakar EAGE GET 2022 2022 (1), 1-5, 2022 | | 2022 |
| 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 | | 2022 |
| Anisotropy correction and fluid substitution for deviated wells S Phan, M Sen SEG Technical Program Expanded Abstracts 2020, 190-194, 2020 | | 2020 |
| Combining low frequency spectral decomposition and post-stack seismic inversion to identify Middle Miocene gas bearing sands at Hai Thach field DN Huong, NT Hieu, NT Thinh, PDT Son PetroVietnam Journal 10, 49-56, 2018 | | 2018 |
| Direct gas sand quality estimation from seismic inversion, a successful story from Hai Thach field, Nam con son basin, Vietnam S Phan, H Hoang, N Tran International Conference and Exhibition, Barcelona, Spain, 3-6 April 2016 …, 2016 | | 2016 |
