222 citations · 372 across the 17 of their papers we have counts for
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physics.geo-ph2021
Consistency and prior falsification of training data in seismic deep learning: Application to offshore deltaic reservoir characterization
Anshuman Pradhan, Tapan Mukerji
Deep learning applications of seismic reservoir characterization often require generation of synthetic data to augment available sparse labeled data. An approach for generating syn…
eess.IV2021★ 47 cited
Point-Cloud Deep Learning of Porous Media for Permeability Prediction
Ali Kashefi, Tapan Mukerji
We propose a novel deep learning framework for predicting permeability of porous media from their digital images. Unlike convolutional neural networks, instead of feeding the whole…