most citedStacked autoencoders based machine learning for noise reduction and signal reconstruction in geophysical data

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cs.CE2018

Deep Autoassociative Neural Networks for Noise Reduction in Seismic data

Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti +1

Machine learning is currently a trending topic in various science and engineering disciplines, and the field of geophysics is no exception. With the advent of powerful computers, i…

cs.CE2018

Velocity-Porosity Supermodel: A Deep Neural Networks based concept

Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti +1

Rock physics models (RPMs) are used to estimate the elastic properties (e.g. velocity, moduli) from the rock properties (e.g. porosity, lithology, fluid saturation). However, the r…