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大地电磁资料精细处理和二维反演解释技术研究(四)——阻抗张量分解的多测点-多频点统计成像分析
引用本文:陈小斌,蔡军涛,王立凤,叶涛.大地电磁资料精细处理和二维反演解释技术研究(四)——阻抗张量分解的多测点-多频点统计成像分析[J].地球物理学报,2014,57(6):1946-1957.
作者姓名:陈小斌  蔡军涛  王立凤  叶涛
作者单位:中国地震局地质研究所, 地震动力学国家重点实验室, 北京 100029
基金项目:国家喜马拉雅计划暨地震行业专项重大项目(201108001、200908001);国家自然科学基金(41174058,41104044)共同资助
摘    要:基于大地电磁阻抗张量分解技术,本文提出了两种电性主轴方位的统计描述图像:随频率变化的统计分布成像(频率分布云图)和随测点序列变化的统计分布成像(测点分布云图).这两种图像与传统的统计玫瑰图一起,较全面地描述了最佳主轴的分布特征.在进行构造维性分析过程中,通过定义二维有效因子e2d,来压制一维结构和三维结构、突出纯二维结构的影响.e2d被用于电性主轴的统计加权,有效地起到了滤波的作用;同时,统计成像中还考虑了数据质量的影响.为了得到稳定、高质量的区域阻抗张量数据,提出并实现了共主轴的多测点-多频点阻抗张量分解新算法.最终,完成了以上各项处理手段的可视化实现.本文通过两个理论模型和一个实测算例,以共轭阻抗法(CCZ法)为基础,展示了这一新技术的有效性.

关 键 词:大地电磁  阻抗张量分解  多测点-多频点分析  二维有效因子  统计成像  
收稿时间:2013-11-04

Refined techniques for magnetotelluric data processing and two-dimensional inversion (IV):Statistical image method based on multi-site,multi-frequency tensor decomposition
CHEN Xiao-Bin,CAI Jun-Tao,WANG Li-Feng,YE Tao.Refined techniques for magnetotelluric data processing and two-dimensional inversion (IV):Statistical image method based on multi-site,multi-frequency tensor decomposition[J].Chinese Journal of Geophysics,2014,57(6):1946-1957.
Authors:CHEN Xiao-Bin  CAI Jun-Tao  WANG Li-Feng  YE Tao
Institution:State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China
Abstract:Based on magnetotellueic (MT) tensor decomposition technique, in this paper, two statistical image approaches are proposed to analyze the geo-electrical strike. One is the statistical map of variation of strike with frequencies (Strike-Frequencies map), the other is variation of strike with sites (Strike-Sites map). Distribution feature of strike direction can be comprehensively described according to these two image results and traditional rose diagrams. In dimensional analysis, two-dimensional (2D) effective factor e2d is advocated to overcome the effects of 1D and 3D structure and yield responses representative of 2D regional scale structures. e2d is used in statistical computation for the geo-electrical strike, which plays an effectively filtering role. At the same time, the effects of data quality are taken into account in our statistical image approaches. In order to obtain robust and high-quality regional impedances, a novel multi-site, multi-frequency tensor decomposition method with fixed strike direction is proposed. Finally, the visualization of all above approaches is realized through programming. With conjugate impedance method (CCZ), the above analysis is applied to two synthetic data sets and to a field data, which exemplifies the effectiveness of the proposed approaches.
Keywords:Magnetotellueic  Impedance tensor decomposition  Multi-site  multi-frequencies analysis  Two-dimensional effective factor  Statistical image
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