3D magnetotelluric inversion using a limited-memory quasi-Newton optimization | Zendy

Dmitry B. Avdeev | Zendy; Anna Avdeeva | Zendy

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3D magnetotelluric inversion using a limited-memory quasi-Newton optimization

Author(s) -

Dmitry B. Avdeev,

Anna Avdeeva

Publication year - 2009

Publication title -

geophysics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.178

H-Index - 172

eISSN - 1942-2156

pISSN - 0016-8033

DOI - 10.1190/1.3114023

Subject(s) - tikhonov regularization , inversion (geology) , iterated function , regularization (linguistics) , mathematics , magnetotellurics , newton's method , mathematical analysis , algorithm , nonlinear system , mathematical optimization , computer science , inverse problem , physics , geology , quantum mechanics , paleontology , structural basin , electrical resistivity and conductivity , artificial intelligence

The limited-memory quasi-Newton method with simple bounds is used to develop a novel, fully 3D magnetotelluric (MT) inversion technique. This nonlinear inversion is based on iterative minimization of a classical Tikhonov regularized penalty function. However, instead of the usual model space of log resistivities, the approach iterates in a model space with simple bounds imposed on the conductivities of the 3D target...\u

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