Structural Coupled Imaging of Multi-Physical Data Using Damped Least Squares Technique

Article Preview

Abstract:

To improve the algorithm of the structural coupled imaging technique, a method using damped least squares is adopted to calculate the structural component of model updates instead of the truncated SVD solution, which produces multi-physical structural coupling images with high efficiency. A synthetic model test shows better performance and the cross plots reveal a convergence characteristic, which indicates the potential of improved structural coupled imaging algorithm.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1535-1538

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] L. Gallardo and M. Meju. Reviews of Geophysics, Vol. 49 (2011), RG1003.

Google Scholar

[2] L. Gallardo and M. Meju. Journal of Geophysical Research, Vol. 109 (2004), B03311.

Google Scholar

[3] P. Lelièvre and C. Farquharson. Geophysical Journal International, Vol. 195 (2013), p.330.

Google Scholar

[4] E. Fresogo and L. Gallardo. Geophysics, Vol. 74 (2009), p. L31.

Google Scholar

[5] W. Menke. Geophysical data Analysis: Discrete inverse theory (Elsevier Science Publishing, 2012).

Google Scholar

[6] T. Lochbühler, J. Doetsch, R. Brauchler and N. Linde. Geophysics, Vol. 78 (2013), p. ID1.

DOI: 10.1190/geo2012-0460.1

Google Scholar

[7] M. Moorkamp, A. Roberts, M. Jegen, B. Heincke and R. Hobbs. Geophysical Research Letters, Vol. 40 (2013), p.3596.

Google Scholar