Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Learning for Simultaneous Inference of Hydraulic and Transport
  Properties   Identifying the heterogeneous conductivity field and reconstructing the
contaminant release history are key aspects of subsurface remediation.
Achieving these two goals with limited and noisy hydraulic head and
concentration measurements is challenging. The obstacles include solving an
inverse problem for high-dimensional parameters, and the high-computational
cost needed for the repeated forward modeling. We use a convolutional
adversarial autoencoder (CAAE) for the parameterization of the heterogeneous
non-Gaussian conductivity field with a low-dimensional latent representation.
Additionally, we trained a three-dimensional dense convolutional
encoder-decoder (DenseED) network to serve as the forward surrogate for the
flow and transport processes. Combining the CAAE and DenseED forward surrogate
models, the ensemble smoother with multiple data assimilation (ESMDA) algorithm
is used to sample from the Bayesian posterior distribution of the unknown
parameters, forming a CAAE-DenseED-ESMDA inversion framework. We applied this
CAAE-DenseED-ESMDA inversion framework in a three-dimensional contaminant
source and conductivity field identification problem. A comparison of the
inversion results from CAAE-ESMDA with physical flow and transport simulator
and CAAE-DenseED-ESMDA is provided, showing that accurate reconstruction
results were achieved with a much higher computational efficiency.

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The categories of this paper are: astro-ph
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The categories of this paper are: math-ph
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The categories of this paper are: q-fin
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The categories of this paper are: physics
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The categories of this paper are: hep-ex
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The categories of this paper are: eess
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The categories of this paper are: adap-org
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-alg
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The categories of this paper are: plasm-ph
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The categories of this paper are: q-bio
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The categories of this paper are: comp-gas
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The categories of this paper are: atom-ph
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The categories of this paper are: solv-int
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The categories of this paper are: alg-geom
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The categories of this paper are: nucl-th