Nonlinear conjugate gradients algorithm for 1D magnetotelluric inversion

被引：0
作者：
Guan, Yiliang [1 ,2 ]
Li, Yuguo [2 ]
Hu, Zuzhi [3 ]
Huang, Jiangbo [1 ]
Hu, Xiangyun [1 ]
机构：
[1] China University of Geosciences, Institute of Geosciences & Geomatices, Wuhan
[2] College of Marine Geo-Sciences, China University of Ocean, Qingdao
[3] BGP, China National Petroleum Corporation, Zhuozhou
来源：
Geophysical Prospecting for Petroleum | 2014年 / 53卷 / 06期
关键词：
1D inversion; Magnetotelluric; Nonlinear conjugate gradient (NLCG) method; Regularized factors;
D O I：
10.3969/j.issn.1000-1441.2014.06.017
中图分类号：
学科分类号：
摘要：
Nonlinear conjugate gradient (NLCG) inversion method has been widely used in the 2D magnetotelluric inversion because of its stability and accuracy. However, this method is rarely used in the 1D inversion because it is difficult to find regularized factor and large amount computation. An improved 1D NLCG inversion algorithm is presented to overcome above problems. Firstly, Bostick inversion results is regarded as initial model and then we proposed an adaptive iterative adjustment procedure for regularized factors. The regularized factors are adjusted automatically according to the objective function in each iteration. Then, the calculation of optimal step size and precondition factors are simplified, finding the most suitable step size by a linear single step search instead of Gauss-Newton iteration. At last, the inversion model is optimized to do secondary NLCG inversion to improve the inversion precision and make the 1D NLCG algorithm more efficient. Several examples are given to illustrate the validity of the improved 1D algorithm, the processing results of actual magnetotelluric data further validate the reliability of the algorithm by contrasting with the drilling data and Occam inversion results. ©, 2014, Science Press. All right reserved.
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页码：752 / 759
页数：7
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