| Physics-guided deep autoencoder to overcome the need for a starting model in full-waveform inversion A Dhara, MK Sen The Leading Edge 41 (6), 375-381, 2022 | 16 | 2022 |
| Elastic-AdjointNet: A physics-guided deep autoencoder to overcome crosstalk effects in multiparameter full-waveform inversion A Dhara, M Sen SEG International Exposition and Annual Meeting, D011S047R001, 2022 | 10 | 2022 |
| Machine-learning-based methods for estimation and stochastic simulation A Dhara, W Trainor-Guitton, A Tura SEG International Exposition and Annual Meeting, SEG-2018-2991178, 2018 | 7 | 2018 |
| Seismic image registration using multiscale convolutional neural networks A Dhara, C Bagaini Geophysics 85 (6), V425-V441, 2020 | 6 | 2020 |
| Elastic Full Waveform Inversion using a Physics guided deep convolutional encoder-decoder A Dhara, MK Sen IEEE Transactions on Geoscience and Remote Sensing, 2023 | 5 | 2023 |
| 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 | 4 | 2023 |
| Facies and reservoir properties estimation by a transdimensional seismic inversion A Dhara, MK Sen, D Yang, J Schmedes, P Routh, R Sain SEG International Exposition and Annual Meeting, D041S095R003, 2020 | 3 | 2020 |
| Solving seismic inverse problems by an unsupervised hybrid machine-learning approach MK Sen, A Dhara Second International Meeting for Applied Geoscience & Energy, 3017-3021, 2022 | 2 | 2022 |
| Automated and semi-automated depth registration of PP and PS images C Bagaini, Y Elmosharaf, A Dhara, J Mathewson, MA Perez 80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018 | 2 | 2018 |
| Seismic registration using convolutional neural networks A Dhara, C Bagaini 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | 1 | 2021 |
| Occurrence of bacteriophages in the Ganga MK Mukherjee, A DHARA, M Sen Current Science 53 (4), 218-219, 1984 | 1 | 1984 |
| Estimating CO2 saturation and porosity using the double difference approach based invertible neural network A Dhara, MK Sen, S Dasgupta Third International Meeting for Applied Geoscience & Energy, 430-434, 2023 | | 2023 |
| Deep learning to maximize the value of fast-track 4D seismic processing A Dhara, H Abdel-Raziq, D Kiyashchenko, A Kudarova, J Vamaraju, ... SEG International Exposition and Annual Meeting, D011S087R004, 2022 | | 2022 |
| Auto-Detection And Classification Of Rig Activities From Trend Analysis Of Sensor Data A Wesley, A Dhara, T Babatunde, Y Chi US Patent App. 17/632,842, 2022 | | 2022 |
| Deep Learning Based Full Waveform Inversion for Automatic Salt Model Building with No Starting Model A Dhara, M Sen 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022 | | 2022 |
| Physics Assisted Deep Learning for Full Waveform Inversion M Sen, A Dhara 83rd EAGE Annual Conference & Exhibition Workshop Programme 2022 (1), 1-5, 2022 | | 2022 |
| Joint facies and reservoir properties estimation by trans-dimensional seismic inversion using machine learning based priors A Dhara, MK Sen AGU Fall Meeting Abstracts 2020, S053-0006, 2020 | | 2020 |
| Deep learning for seismic image registration A Dhara, C Bagaini SEG International Exposition and Annual Meeting, D031S032R008, 2020 | | 2020 |
| Geophysical Prospecting C Claudino, WM Lupinacci, Z Wu, Y Liu, J Yang, H Wu, C Sun, X Deng, ... | | |
| Uncertainty estimation in seismic inversion using Invertible Neural Networks A Dhara, K Wang, J Chen, H Malcotti, R Cardona | | |
Mrinal K SenInstitute for Geophysics, Jackson School of Geosciences, University of Texas at AustinVerified email at ig.utexas.edu
