| A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field S Singh, AI Kanli, S Sevgen Studia Geophysica et Geodaetica 60, 130-140, 2016 | 70 | 2016 |
| Bayesian framework for elastic full-waveform inversion with facies information S Singh, I Tsvankin, E Zabihi Naeini The Leading Edge 37 (12), 924-931, 2018 | 29 | 2018 |
| Estimating shear wave velocities in oil fields: a neural network approach S Singh, AI Kanli Geosciences Journal 20, 221-228, 2016 | 23 | 2016 |
| Full-waveform inversion with borehole constraints for elastic VTI media S Singh, I Tsvankin, E Zabihi Naeini Geophysics 85 (6), R553-R563, 2020 | 12 | 2020 |
| Elastic FWI for orthorhombic media with lithologic constraints applied via machine learning S Singh, I Tsvankin, E Zabihi Naeini Geophysics 86 (4), R589-R602, 2021 | 11 | 2021 |
| Facies‐based full‐waveform inversion for anisotropic media: a North Sea case study S Singh, I Tsvankin, EZ Naeini Geophysical Prospecting 69 (8-9), 1650-1663, 2021 | 7 | 2021 |
| Bayesian approach to facies-constrained waveform inversion for VTI media S Singh, I Tsvankin, EZ Naeini SEG International Exposition and Annual Meeting, D043S099R005, 2019 | 6 | 2019 |
| Sensitivity analysis of elastic full-waveform inversion for orthorhombic media S Singh, I Tsvankin Journal of Seismic Exploration 31 (2), 105-130, 2022 | 5 | 2022 |
| Facies prediction with Bayesian inference: Application of supervised and semisupervised deep learning S Singh, I Tsvankin, E Zabihi Naeini Interpretation 10 (2), T279-T290, 2022 | 5 | 2022 |
| Full-waveform inversion for elastic VTI media with borehole constraints S Singh, I Tsvankin, E Zabihi Naeini Geophysics 85 (6), R553-R563, 2020 | 5 | 2020 |
| Full waveform inversion in time and frequency domain of velocity modeling in seismic imaging: FWISIMAT a Matlab code S Singh, AI Kanli, S Mukhopadhyay Earth Sciences Research Journal 22 (4), 291-300, 2018 | 5 | 2018 |
| Elastic full-waveform inversion with geologic information for tilted TI media S Singh, I Tsvankin, EZ Naeini 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | 4 | 2021 |
| Sensitivity analysis of FWI for elastic orthorhombic media S Singh, I Tsvankin SEG Technical Program Expanded Abstracts 2020, 171-175, 2020 | 4 | 2020 |
| Physics-directed unsupervised machine learning: Quantifying uncertainty in seismic inversion S Singh, Y Zhang, D Thanoon, P Devarakota, L Jin, I Tsvankin Second International Meeting for Applied Geoscience & Energy, 1735-1739, 2022 | 2 | 2022 |
| Facies prediction with Bayesian inference using supervised and semisupervised deep learning S Singh, I Tsvankin, E Zabihi Naeini International Meeting for Applied Geoscience & Energy, 1510-1514, 2021 | 2 | 2021 |
| Case study of facies-based FWI for transversely isotropic media S Singh, I Tsvankin, E Zabihi Naeini International Meeting for Applied Geoscience & Energy, 567-571, 2021 | 1 | 2021 |
| PHYSICS-GUIDED UNSUPERVISED DEEP-LEARNING SEISMIC INVERSION WITH UNCERTAINTY QUANTIFICATION YU ZHANG, S SINGH, D THANOON, P DEVARAKOTA, L JIN, I TSVANKIN JOURNAL OF SEISMIC EXPLORATION 32, 257-270, 2023 | | 2023 |
| Application of Facies Constraints and Machine Learning to Full-Waveform Inversion for Anisotropic Media S Singh Colorado School of Mines, 2022 | | 2022 |
| GPU Implementation for High Speed Elastic Forward Modelling S Singh, K Sain 53rd Annual Convention of Indian Geophysical Union, 2016 | | 2016 |
Ilya TsvankinProfessor of Geophysics, Colorado School of MinesVahvistettu sähköpostiosoite verkkotunnuksessa mines.edu
