Joint and laterally constrained inversion of surface MRS and TEM data

被引:5
作者
Lin Ting-Ting [1 ]
Lin Xiao-Xue [1 ]
Yang Zhuo-Jing [2 ,3 ]
Wan Ling [1 ]
Zhao Jing [1 ]
Zhang Xiao-Fei [2 ,3 ]
Hao Wen-Jie [2 ,3 ]
Zhang Qing [2 ,3 ]
机构
[1] Jilin Univ, Minist Educ, Key Lab Geoexplorat & Instrumentat, Coll Instrumentat & Elect Engn, Changchun 130026, Peoples R China
[2] Geol Survey Bur Hydrol, MLR Key Lab Geol Environm Monitoring Technol, Baoding 071051, Hebei, Peoples R China
[3] Environm Geol Survey Ctr, Baoding 071051, Hebei, Peoples R China
来源
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION | 2017年 / 60卷 / 02期
关键词
MRS; TEM; Joint inversion; LCI; NUCLEAR-MAGNETIC-RESONANCE; ELECTROMAGNETIC DATA; GROUNDWATER; WATER; TIME;
D O I
10.6038/cjg20170233
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The earth resistivity distribution information is an important factor influencing the accuracy of the inversion of MRS data for groundwater detection. In the many electromagnetic exploration methods, TEM has the advantages of high resolution, high efficiency and great exploration depth, which can detect the underground resistivity distribution accurately within the scope of a few hundred meters. Therefore, joint inversion of MRS and TEM data is of great significance. However, there are such problems as non-uniqueness and wrong location of abnormal bodies when we use the single-point splicing way in the joint interpretation of MRS and TEM to perform two-dimensional inversion. Especially in the complex geological conditions, adjacent point detection results of the same measuring line have poor continuity. The inversion results thus deviate from real geological situations. In order to ensure the inversion method implemented smoothly, we propose a method, of joint and laterally constrained inversion of MRS and TEM data (Laterally Constrained Inversion, LCI), which introduces the QWE method (quadrature with extrapolation,.QWE) to solve the problem of low efficiency caused by traditional forward modeling based on the direct numerical integration method. Based on that underground structure of adjacent measuring points should have continuity, we introduce the idea of laterally constrained inversion. Joining the constraint matrix of parameters between adjacent points in the joint inversion objective function permits to improve the accuracy of MRS. At the same time, it allows us to strengthen the continuity of the geological structure and water content model of the detection section. A series of tests on the theoretical model show that the LCI method can effectively increase the uniqueness and stability of traditional 1D inversion results. Finally, we invert the actual detection data from Huangshan in Anhui by the method of joint and laterally constrained approach. The results are consistent with the basic geological data, which verifies the practicability of the algorithm. The research results in this paper will provide a basis for the joint inversion of MRS and other electromagnetic data. At the same time they can lay the foundation for the spatially constrained joint inversion of MRS and TEM data.
引用
收藏
页码:833 / 842
页数:10
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