... vectors. Next, the in- 3D ow, mechanical or other properties of rocks. verse mapping from the scanned 2D slices to the latent vectors is handled by a gradient-descend algorithm. Lastly, the miss- Since µCT and SEM imaging complement each other, more ing slices between the scanned ones are reconstructed...

... geophysical data geophysical inversion latent vector generative network upstream oil & gas training set exploration geophysicist 10 international conference latent space training model artificial intelligence stochastic inversion applied geoscience encoder network inversion variational...

...: (1) the `2-norm model error should be small; and (2) the `2-norm of the corresponding latent vector should be bounded and within a pre-defined reference range. Numerical examples show that a good prior generator in the sense of the proposed measure can help produce more accurate results...

... composition latent vector annual meeting accuracy dimension latent dimension deviation composition deep learning latent layer latent space artificial intelligence prediction variational autoencoder Doersch , C. , 2016 , Tutorial on variational autoencoders, arXiv:1606.05908...