| Prestack and poststack inversion using a physics-guided convolutional neural network R Biswas, MK Sen, V Das, T Mukerji Interpretation 7 (3), SE161-SE174, 2019 | 191 | 2019 |
| Transdimensional seismic inversion using the reversible jump Hamiltonian Monte Carlo algorithm MK Sen, R Biswas Geophysics 82 (3), R119-R134, 2017 | 120 | 2017 |
| 2D full-waveform inversion and uncertainty estimation using the reversible jump Hamiltonian Monte Carlo R Biswas, M Sen SEG International Exposition and Annual Meeting, SEG-2017-17680416, 2017 | 48 | 2017 |
| Stacking velocity estimation using recurrent neural network R Biswas, A Vassiliou, R Stromberg, MK Sen SEG International Exposition and Annual Meeting, SEG-2018-2997208, 2018 | 43 | 2018 |
| Borehole acoustic imaging using 3D STC and ray tracing to determine far-field reflector dip and azimuth N Bennett, A Donald, S Ghadiry, M Nassar, R Kumar, R Biswas Petrophysics 60 (02), 335-347, 2019 | 31 | 2019 |
| Choice of regularization weight in basis pursuit reflectivity inversion MK Sen, R Biswas Journal of Geophysics and Engineering 12 (1), 70-79, 2015 | 29 | 2015 |
| Pre-stack inversion using a physics-guided convolutional neural network R Biswas, MK Sen, V Das, T Mukerji SEG international exposition and annual meeting, D043S152R007, 2019 | 21 | 2019 |
| Estimating normal moveout velocity using the recurrent neural network R Biswas, A Vassiliou, R Stromberg, MK Sen Interpretation 7 (4), T819-T827, 2019 | 18 | 2019 |
| Prestack and poststack inversion using a physics-guided convolutional neural network: Interpretation, 7 R Biswas, MK Sen, V Das, T Mukerji SE161–SE174, 2019 | 13 | 2019 |
| Basis pursuit receiver function MK Sen, R Biswas, P Mandal, P Kumar Bulletin of the seismological society of America 104 (6), 2673-2682, 2014 | 12 | 2014 |
| Density inversion from seismic using a trans-dimensional approach: A field dataset example R Biswas, D Kumar, M Sen, A Paul, K Packer SEG International Exposition and Annual Meeting, D023S004R001, 2019 | 8 | 2019 |
| Transdimensional seismic inversion using the reversible jump Hamiltonian Monte Carlo algorithm. Geophysics 82: R119–R134 MK Sen, R Biswas | 8 | 2017 |
| Transdimensional 2D full-waveform inversion and uncertainty estimation R Biswas, MK Sen arXiv preprint arXiv:2201.09334, 2022 | 7 | 2022 |
| 2D full-waveform inversion and uncertainty estimation using the reversible jump Hamiltonian Monte Carlo: 87th Annual International Meeting, SEG, Expanded Abstracts, 1280–1285 … R Biswas, M Sen Abstract, 2017 | 7 | 2017 |
| Stacking velocity estimation using recurrent neural network: 88th Annual International Meeting, SEG, Expanded Abstracts, 2241–2245, doi: 10.1190/segam2018-2997208.1 R Biswas, A Vassiliou, R Stromberg, MK Sen Abstract, 2018 | 6 | 2018 |
| Pre-stack trans-dimensional seismic inversion R Biswas*, MK Sen SEG Technical Program Expanded Abstracts 2015, 3492-3496, 2015 | 5 | 2015 |
| Facies‐constrained transdimensional amplitude versus angle inversion using machine learning assisted priors A Dhara, MK Sen, R Biswas Geophysical Prospecting 71 (4), 590-613, 2023 | 3 | 2023 |
| Got noisy impedance? Try this J Zhang, R Biswas, D Kumar, M Walker, P Paramo, K Wolf, A Yusifov, ... SEG International Exposition and Annual Meeting, D011S009R001, 2022 | 3 | 2022 |
| Two-step velocity inversion using trans-dimensional tomography and elastic FWI R Biswas, AF Arnulf, MK Sen, D Datta, Z Zhao, PK Mishra, P Jaysaval SEG International Exposition and Annual Meeting, D031S069R003, 2020 | 3 | 2020 |
| Ray-based tomography and acoustic full waveform inversion with the reversible jump Markov chain Monte Carlo algorithm R Biswas, AF Arnulf, MK Sen, D Datta, P Jaysaval AGU Fall Meeting Abstracts 2018, S31D-0526, 2018 | 3 | 2018 |
Mrinal K SenInstitute for Geophysics, Jackson School of Geosciences, University of Texas at AustinVerified email at ig.utexas.edu
