DocumentCode :
3347894
Title :
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
Link To Document :
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