Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network

25 Oct 2017Eric LaloyRomain HéraultJohn LeeDiederik JacquesNiklas Linde

Efficient and high-fidelity prior sampling and inversion for complex geological media is still a largely unsolved challenge. Here, we use a deep neural network of the variational autoencoder type to construct a parametric low-dimensional base model parameterization of complex binary geological media... (read more)

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