3D sparse inversion of magnetic amplitude data when strong remanence exists

Li, Zelin; Yao, Changli

doi:10.1007/s11600-020-00399-z

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Tytuł artykułu

3D sparse inversion of magnetic amplitude data when strong remanence exists

Autorzy

Li Zelin , Yao Changli

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-020-00399-z

Warianty tytułu

Języki publikacji

Abstrakty

Three-dimensional inversion for susceptibility distributions is a common approach for quantitative interpretation of magnetic data. However, this approach will fail when strong remanence exists because the total magnetization direction is unknown. Magnetic amplitude inversion can reduce remanence efects and thus improve reconstructed results. In this paper, we propose a sparse magnetic amplitude inversion method which minimizes an L₀-like-norm of model parameters subject to bound constraints. By using the iteratively reweighed least squares technique, the bound-constrained L₀-like-norm sparse inversion is transformed to a sequence of bound-constrained nonlinear least squares subproblems. To deal with the bound constraints, we use a logarithm barrier algorithm to solve each subproblem. Compared with the classical L₂-norm inversion method, the proposed sparse method utilizes the known physical property information to produce binary results characterized by sharp boundaries. This method is tested on synthetic data produced by a dipping dyke model and a feld data set acquired in Australia.

Słowa kluczowe

magnetic amplitude inversion remanence sharp boundary sparse binary

inwersja amplitudy magnetycznej remanencja ostra granica

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2020

Tom

Vol. 68, no. 2

Strony

365--375

Opis fizyczny

Bibliogr. 45 poz.

Twórcy

autor

Li Zelin

lizelin@hebeu.edu.cn

Key Laboratory for Resource Exploration Research of Hebei Province, School of Earth Science and Engineering, Hebei University of Engineering, Handan 056038, China

autor

Yao Changli

clyao@cugb.edu.cn

School of Geophysics and Information Technology, China University of Geosciences, Beijing 10083, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)

Typ dokumentu

Bibliografia

Identyfikator YADDA

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