Large-Scale Inversion of Magnetotelluric Data Using Regularized Gauss–Newton Method in the Data Space

E. Nadasi; Alexander Gribenko; Michael S. Zhdanov

doi:10.1007/s00024-022-03147-0

ScienceGate Book Chapters

JOURNAL ARTICLE

Large-Scale Inversion of Magnetotelluric Data Using Regularized Gauss–Newton Method in the Data Space

E. Nadasi Alexander Gribenko Michael S. Zhdanov

Year: 2022 Journal: Pure and Applied Geophysics Vol: 179 (10)Pages: 3785-3806 Publisher: Birkhäuser

DOI: 10.1007/s00024-022-03147-0

Get Full-Text PDF Get Analytical Report

Keywords:

Magnetotellurics Hessian matrix Geology Inversion (geology) Electrical conductor Geodesy Electrical impedance Geophysics Crust Geometry Seismology Electrical resistivity and conductivity Tectonics Mathematics Physics Applied mathematics

Metrics

Cited By

0.74

FWCI (Field Weighted Citation Impact)

Refs

0.65

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Geophysical and Geoelectrical Methods

Physical Sciences → Earth and Planetary Sciences → Geophysics

Seismic Imaging and Inversion Techniques

Physical Sciences → Earth and Planetary Sciences → Geophysics

Seismic Waves and Analysis

Physical Sciences → Earth and Planetary Sciences → Geophysics

Large-Scale Inversion of Magnetotelluric Data Using Regularized Gauss–Newton Method in the Data Space

Metrics

Citation History

Topics

Related Documents

Regularized Gauss-Newton method of nonlinear geophysical inversion in the data space: Applications to 3D magnetotelluric inversion

Three-dimensional inversion of magnetotelluric data using Gauss-Newton method

Large-scale 3D inversion of Towed Streamer ElectroMagnetic data using the Gauss-Newton method

Regularized Gauss‐Newton method using compressed Jacobian matrix for controlled source electromagnetic data inversion

Data-Space Implementation of Regularized Gauss-Newton Method in 3D Inversion of the Lithoprobe and Earthscope Mt Data