2-D Niblett-Bostick magnetotelluric inversion

Geologica Acta

View Publication Info
Field Value
Title 2-D Niblett-Bostick magnetotelluric inversion
Subject Niblett-Bostick inversion. Hopfield Neural Network. magnetotelluric.
Description A simple and robust imaging technique for two-dimensional magnetotelluric interpretations has been developed following the well known Niblett-Bostick transformation for one-dimensional profiles. The algorithm processes series and parallel magnetotelluric impedances and their analytical influence functions using a regularized Hopfield artificial neural network. The adaptive, weighted average approximation preserves part of the nonlinearity of the original problem, yet no initial model in the usual sense is required for the recovery of the model; rather, the built-in relationship between model and data automatically and concurrently considers many half spaces whose electrical conductivities vary according to the data. The use of series and parallel impedances, a self-contained pair of invariants of the impedance tensor, avoids the need to decide on best angles of rotation for identifying TE and TM modes. Field data from a given profile can thus be fed directly into the algorithm without much processing. The solutions offered by the regularized Hopfield neural network correspond to spatial averages computed through rectangular windows that can be chosen at will. Applications of the algorithm to simple synthetic models and to the standard COPROD2 data set illustrate the performance of the approximation.
Publisher Geologica Acta
Geologica Acta
Geologica Acta
Date 2010-05-20
Type info:eu-repo/semantics/article

Format application/pdf
Identifier http://revistes.ub.edu/index.php/GEOACTA/article/view/105.000001513
Source Geologica Acta; Vol 8, No 1: Electromagnetic Induction in the Earth; 15-31
Geologica Acta; Vol 8, No 1: Electromagnetic Induction in the Earth; 15-31
Geologica Acta; Vol 8, No 1: Electromagnetic Induction in the Earth; 15-31
Language eng
Relation http://revistes.ub.edu/index.php/GEOACTA/article/view/105.000001513/4305


Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us


Copyright © 2015-2018 Simon Fraser University Library