A semi-supervised recurrent-convolutional network with a seismic forward-model loss inverts elastic impedance on Marmousi 2 with 98% average correlation using only 10 labeled well logs.
Gates, 2012, Support vector regression to predict porosity and permeability: effect of sample size: Computers & Geosciences, 39 , 64--76
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Semi-supervised Sequence Modeling for Elastic Impedance Inversion
A semi-supervised recurrent-convolutional network with a seismic forward-model loss inverts elastic impedance on Marmousi 2 with 98% average correlation using only 10 labeled well logs.