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SON PHAN
SON PHAN
Schlumberger
Verified email at utexas.edu
Title
Cited by
Cited by
Year
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
462012
Hopfield networks for high-resolution prestack seismic inversion
S Phan, MK Sen
SEG International Exposition and Annual Meeting, SEG-2018-2996244, 2018
172018
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
112010
A Boltzmann machine for high-resolution prestack seismic inversion
SDT Phan, MK Sen
Interpretation 7 (3), SE215-SE224, 2019
102019
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
72019
Seismic nonstationary deconvolution with physics-guided autoencoder
S Phan, MK Sen
SEG International Exposition and Annual Meeting, D011S067R002, 2021
32021
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
22022
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
22016
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
12022
A cross-shape deep Boltzmann machine for petrophysical seismic inversion
SD Phan, MK Sen
AAPG Bulletin 106 (11), 2225-2237, 2022
12022
Machine learning algorithms for solving some seismic inversion challenges
SDT Phan
12021
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
12017
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
12017
Integrated Deep Learning Workflow for Geologically Sequestered CO2 Monitoring
W Hu, S Phan, C Li, A Abubakar, LI Zhun
US Patent App. 18/408,163, 2024
2024
Reducing Time-Lapse Seismic Data Acquisition Cost with Deep Learning
W Hu, S Phan, C Li, A Abubakar
Offshore Technology Conference, D031S035R001, 2024
2024
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
Anisotropy correction and fluid substitution for deviated wells
S Phan, M Sen
SEG Technical Program Expanded Abstracts 2020, 190-194, 2020
2020
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