Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/16491
Title: Three-dimensional magnetotelluric inversion: Data-space method
Authors: Weerachai Siripunvaraporn
Gary Egbert
Yongwimon Lenbury
Makoto Uyeshima
Mahidol University
Oregon State University
University of Tokyo
Keywords: Earth and Planetary Sciences;Physics and Astronomy
Issue Date: 16-May-2005
Citation: Physics of the Earth and Planetary Interiors. Vol.150, No.1-3 SPEC. ISS. (2005), 3-14
Abstract: A three-dimensional magnetotelluric (MT) minimum structure inversion algorithm has been developed based on a data-space variant of the Occam approach. Computational costs associated with construction and inversion of model-space matrices make a model-space Occam approach to 3D MT inversion impractical. These difficulties are overcome with a data-space approach, where matrix dimensions depend on the size of the data set, rather than the number of model parameters. With the transformation to data space it becomes feasible to invert modest 3D MT data sets on a PC. To reduce computational time, a relaxed convergence criterion is used for the iterative forward modeling code used to compute the sensitivity matrix. This allows reduction in computational time by more than 70%, without affecting the inversion results. Numerical experiments with synthetic data show that reasonable fits can be obtained within a small number of iterations, with a few additional iterations required to eliminate unnecessary structure and find the model with minimum norm. © 2004 Elsevier B.V. All rights reserved.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=17544372278&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/16491
ISSN: 00319201
Appears in Collections:Scopus 2001-2005

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