Application of the adaptive shrinkage genetic algorithm in the feasible region to TEM conductive thin layer inversion

被引:13
作者
Xiu Li
Guoqiang Xue
Jianping Song
Wenbo Guo
Junjie Wu
Meifang Shen
机构
[1] Xi An Jiaotong University,School of Electronic & Information Engineering
[2] Chang An University,School of Geology & Survey Engineering
关键词
transient electromagnetic method; genetic algorithm; inversion; apparent longitudinal conductance; and conductive thin layer;
D O I
10.1007/s11770-005-0025-5
中图分类号
学科分类号
摘要
Combining the adaptive shrinkage genetic algorithm in the feasible region with the imaging of apparent vertical conductance differential, we have inverted the TEM conductive thin layer. The result of the inversion demonstrates that by adaptive shrinkage in the feasible region, the calculation speed accelerates and the calculation precision improves. To a certain extent, in this method we surmount the transient electromagnetic sounding equivalence and reduced equivalence scope. Comparison of the inverted result with the forward curve clearly shows that we can image the conductive thin layer.
引用
收藏
页码:204 / 210
页数:6
相关论文
共 11 条
[1]  
Chen Jun(2000)Application of an improved genetic algorithm to the inversion of a multi-layer density interface Earth Science Journal of China University of Geosciences 25(6) 651-655
[2]  
Wang Jialin(1997)Inversion of one-dimensional MT data using genetic algorithms Journal of Zhejiang University (Natural Science) 31(3) 300-305
[3]  
Wu Jiansheng(1999)MT data inversion using genetic algorithms Journal of Jianghan Petroleum Institute. 21(3) 25-29
[4]  
Chen Bing(2002)Transient electromagnetic local conductor inversion by genetic algorithm Guilin Institute of Technology 22 454-457
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