Appraisal of Resistivity Inversion Models with Convolutional Variational Encoder-Decoder Network

Recovering the actual subsurface electrical resistivity properties from the electrical resistivity tomography data is challenging because the inverse problem is nonlinear and ill-posed. This paper proposes a Variational Encoder-Decoder (VED) based network to obtain resistivity model, which maps the...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 60; s. 1
Hlavní autori:	Wilson, Bibin, Singh, Anand, Sethi, Amit
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Aquifers Coders Conductivity Conductivity Distribution Data models Deep learning Electrical resistivity Electrical Resistivity Tomography Encoders-Decoders Feature extraction Geophysical measurements Inverse Problem Inverse problems Machine learning Mathematical models Tomography
ISSN:	0196-2892, 1558-0644
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