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

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

Abstract


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.

Keywords


magnetotelluric inverse problem;neural network;EM monitoring

Full Text:

PDF

References


DOI: https://doi.org/10.4401/ag-3090
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it (Read more).
Ok


Published by INGV, Istituto Nazionale di Geofisica e Vulcanologia - ISSN: 2037-416X