Applying improved very fast simulated annealing in regularized geophysical joint inversion

Author

Chen Xiao ; Yu Peng ; Zhang Luo Lei ; Xiang Yang ; Wang Jia Lin

Author_Institution

State Key Lab. of Marine Geol., Tongji Univ., Shanghai, China

Volume

4

fYear

2011

fDate

26-28 July 2011

Firstpage

1998

Lastpage

2001

Abstract

To avoid leading to an inversion solution for local minima of linear inversion, simulated annealing is introduced into 2-D geophysical joint inversion of magnetotelluric and seismic in this paper. L-curve method and a new adaptive algorithm are adopted for optimal regularized parameter determination. The results of joint inversion using these choices are compared and discussed. The model test shows that adaptive regularized joint inversion we studied is more effective and rigorous.

Keywords

geophysical techniques; geophysics computing; magnetotellurics; seismic waves; 2-D geophysical joint inversion; L-curve method; adaptive algorithm; inversion solution; linear inversion; local minima; magnetotelluric geophysical joint inversion; regularized geophysical joint inversion; seismic geophysical joint inversion; simulated annealing; Adaptation models; Computational modeling; Data models; Joints; Load modeling; Simulated annealing; L-curve method; adaptive regularization algorithm; joint inversion; magnetotelluric(MT); seisimic; simulated annealing(SA);

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2011 Seventh International Conference on

Conference_Location

Shanghai

ISSN

2157-9555

Print_ISBN

978-1-4244-9950-2

Type

conf

DOI

10.1109/ICNC.2011.6022391

Filename

6022391