TITLE:
Simultaneous Structure-Coupled Joint Inversion of Gravity and Magnetic Data Based on a Damped Least-Squares Technique
AUTHORS:
Junjie Zhou, Chunxiao Xiu, Xingdong Zhang
KEYWORDS:
Structure-Coupled Joint Inversion, Damped Least-Squares, Coupling Factor, Gravity and Magnetic Data
JOURNAL NAME:
International Journal of Geosciences,
Vol.6 No.2,
February
16,
2015
ABSTRACT: The structure-coupled
joint inversion method of gravity and magnetic data is a powerful tool fordeveloping improved physical property
models with high resolution and compatible features;however, the conventional procedure is
inefficient due to the truncated singular values decomposition(SVD) process at each iteration. To
improve the algorithm, a technique using damped leastsquaresis adopted to calculate the structural
term of model updates, instead of the truncated SVD. Thisproduces structural coupled density
and magnetization images with high efficiency. A so-calledcoupling factor is introduced to
regulate the tuning of the desired final structural similarity level.Synthetic examples show that the joint
inversion results are internally consistent and achievehigherresolution than separated. The
acceptable runtime performance of the damped least squarestechnique used in joint inversion
indicates that it is more suitable for practical use than the truncated SVD
method.