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Reetam  Biswas
Reetam Biswas
bp, Numerical Algorithm Group, The University of Texas at Austin, IIT Kharagpur
Verified email at bp.com
Title
Cited by
Cited by
Year
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
2312019
Transdimensional seismic inversion using the reversible jump Hamiltonian Monte Carlo algorithm
MK Sen, R Biswas
Geophysics 82 (3), R119-R134, 2017
1482017
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
492017
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
472018
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
352019
Choice of regularization weight in basis pursuit reflectivity inversion
MK Sen, R Biswas
Journal of Geophysics and Engineering 12 (1), 70-79, 2015
292015
Estimating normal moveout velocity using the recurrent neural network
R Biswas, A Vassiliou, R Stromberg, MK Sen
Interpretation 7 (4), T819-T827, 2019
242019
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
242019
Prestack and poststack inversion using a physics-guided convolutional neural network: Interpretation, 7
R Biswas, MK Sen, V Das, T Mukerji
SE161–SE174, 2019
182019
Basis pursuit receiver function
MK Sen, R Biswas, P Mandal, P Kumar
Bulletin of the seismological society of America 104 (6), 2673-2682, 2014
132014
Transdimensional 2D full-waveform inversion and uncertainty estimation
R Biswas, MK Sen
arXiv preprint arXiv:2201.09334, 2022
112022
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
82019
Transdimensional seismic inversion using the reversible jump Hamiltonian Monte Carlo algorithm. Geophysics 82: R119–R134
MK Sen, R Biswas
82017
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
72018
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
72017
Bayesian integrated reservoir characterization, BIRCh, and its application to the Raven Field
P Paramo, K Wolf, J Zhang, R Biswas, M Walker, J Winterbourne, A Roy, ...
84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023
62023
Bayesian AVA elastic seismic inversion using Stein variational gradient descent (SVGD)
R Biswas, M Walker, J Zhang, P Paramo, K Wolf, S Gerth, J Winterbourne, ...
84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023
62023
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
62023
Pre-stack trans-dimensional seismic inversion
R Biswas*, MK Sen
SEG Technical Program Expanded Abstracts 2015, 3492-3496, 2015
52015
Gaussian mixture models as priors in a gradient-based variational algorithm for Bayesian elastic inversion
M Walker, P Paramo, K Wolf, J Zhang, R Biswas, C Decalf, S Gerth, ...
84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023
42023
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