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saurabh sinha
saurabh sinha
PhD student, geophysics, University of Oklahoma
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Cited by
Cited by
Year
Normal or abnormal? Machine learning for the leakage detection in carbon sequestration projects using pressure field data
S Sinha, RP de Lima, Y Lin, AY Sun, N Symons, R Pawar, G Guthrie
International Journal of Greenhouse Gas Control 103, 103189, 2020
282020
Multivariate statistical analysis for resource estimation in unconventional plays application to Eagle Ford shales
S Sinha, D Devegowda, B Deka
SPE Eastern Regional Meeting, SPE-184050-MS, 2016
172016
Effect of Frequent Well Shut-In's on Well Productivity: Marcellus Shale Case Study
S Sinha, KJ Marfurt, B Deka
SPE Eastern Regional Meeting, D023S004R001, 2017
152017
Statistical controls on induced seismicity
S Sinha, Y Wen, R Pires De Lima, K Marfurt
Unconventional Resources Technology Conference, Houston, Texas, 23-25 July …, 2018
102018
Quantification of recovery factors in downspaced wells: Application to the eagle ford shale
S Sinha, D Devegowda, B Deka
SPE Western Regional Meeting, D041S008R008, 2017
82017
Improving fault delineation using maximum entropy multispectral coherence
B Lyu, J Qi, S Sinha, J Li, KJ Marfurt
Interpretation 8 (4), T835-T850, 2020
62020
Seismic to Simulation: Woodford Shale Case Study in Oklahoma, USA
EJ Torres-Parada, S Sinha, LE Infante-Paez, RM Slatt, KJ Marfurt
Unconventional Resources Technology Conference, Houston, Texas, 23-25 July …, 2018
62018
Seismic inversion based SRV and reserves estimation for shale plays
S Sinha, KJ Marfurt, D Devegowda, R Pires de Lima, S Verma
SPE Annual Technical Conference and Exhibition?, D031S031R004, 2017
62017
PreMevE Update: Forecasting Ultra‐Relativistic Electrons Inside Earth's Outer Radiation Belt
S Sinha, Y Chen, Y Lin, R Pires de Lima
Space Weather 19 (9), e2021SW002773, 2021
42021
Quantification of Recovery Factors in Downspaced Shale Wells: Application of a Fully Coupled Geomechanical EOS compositional Simulator
S Sinha, D Devegowda
Unconventional Resources Technology Conference, Austin, Texas, 24-26 July …, 2017
42017
Leak detection in carbon sequestration projects using machine learning methods: Cranfield site, Mississippi, USA
S Sinha, R Pires De Lima, Y Lin, A Y. Sun, N Symon, R Pawar, G Guthrie
SPE Annual Technical Conference and Exhibition?, D031S022R007, 2020
32020
Well-log attributes to map upward-fining and upward-coarsening parasequences
S Sinha, RP de Lima, J Qi, L Infante-Paez, K Marfurt
SEG International Exposition and Annual Meeting, SEG-2018-2998559, 2018
32018
Identification and Quantification of Parasequences Using Expectation Maximization Filter: Defining Well Log Attributes for Reservoir Characterization
S Sinha*, R Kiran, J Tellez, K Marfurt
Unconventional Resources Technology Conference, Denver, Colorado, 22-24 July …, 2019
22019
Statistical and Deep Learning Methods for Geoscience Problems
S Sinha
University of Oklahoma, 2021
12021
Machine learning generated predictive model to forecast the dynamic flux distributions of ultra-relativistic electrons
Y Chen, Y Lin, RP de Lima, S Sinha
US Patent App. 17/499,591, 2023
2023
PreMevE: A Machine-Learning Based Predictive Model for MeV Electrons inside Earth's Outer Radiation Belt
Y Chen, R Pires de Lima, S Sinha, Y Lin
EGU General Assembly Conference Abstracts, EGU21-8545, 2021
2021
Automatic Leak Detection in Carbon Sequestration Projects
S Sinha
2020
Attribute-driven residual lateral moveout correction for azimuthally limited seismic volumes
J Qi, J Zhang, S Sinha, K Marfurt
SEG International Exposition and Annual Meeting, D043S115R006, 2019
2019
Quantification of recovery factors in downspaced shale wells
S Sinha
2016
From Unconventional Reservoir Characterization, 3D Seismic multi-attribute analysis and machine learning guided geocellular modeling to Well Performance (EUR) Simulation …
ET Parada, S Sinha, L Infante-Paez, R Slatt, K Marfurt
2019 AAPG Annual Convention and Exhibition:, 0
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Articles 1–20