Adaptive choice of bi-regularization parameters in the joint inversion of magnetotelluric and gravity

Xiao Chen, K. Ge, Yanguo Wang, Man Guo
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Abstract

the regularization theory is a key tool for geophysical inversions. In this paper, two regularization parameters are introduced into the magnetotelluric (MT)-gravity joint inversion. The very fast simulated annealing (VFSA) method is adopted to optimize the objective functional of the joint inversion. In view of the randomness of VFSA method for model productions, a new adaptive method is proposed to determine values of the regularization parameters. The synthetic model test for different projects shows an effectiveness of the new approach for regularized joint inversions.
大地电磁与重力联合反演中双正则化参数的自适应选择
正则化理论是地球物理反演的重要工具。本文在大地电磁-重力联合反演中引入了两个正则化参数。采用快速模拟退火(VFSA)方法对联合反演的目标泛函进行优化。针对VFSA方法对模型结果的随机性,提出了一种新的自适应方法来确定正则化参数的取值。不同工程的综合模型试验表明了该方法的有效性。
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