Rapid neuronet inversion of 2D magnetotelluric data for monitoring of geoelectrical section parameters

M. I. Shimelevich, M. A. Obornev, S. Gavryushov


The inverse MagnetoTelluric (MT) operator is approximated by means of the Neural Network (NN). The
methodology of the NN interpretation in classes of the geoelectrical sections described by the hundreds of parameters
is proposed. Error of the NN inversion and field misfit are evaluated. A rapid NN algorithm solving the
inverse problem and detecting changes of time-dependent dynamic parameters of the section is applied to 2D
synthetic data.


magnetotelluric inverse problem;neural network;EM monitoring

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DOI: https://doi.org/10.4401/ag-3090
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Published by INGV, Istituto Nazionale di Geofisica e Vulcanologia - ISSN: 2037-416X