文章基本信息

标题：Application of 2-D inversion with genetic algorithms to magnetotelluric data from geothermal areas
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作者：Marco A. Pérez-Flores ; Adam Schultz
期刊名称：Earth, Planets and Space
电子版ISSN：1880-5981
出版年度：2014
卷号：54
期号：5
页码：607-616
DOI：10.1186/BF03353049
出版社：Springer Verlag
摘要：We apply a modified genetic algorithm, the “recombinant genetic analogue” (RGA) to the inversion of magnetotelluric (MT) data from two different geothermal areas, one in El Salvador and another in Japan. An accurate 2-D forward modelling algorithm suitable for very heterogeneous models forms the core of the inverse solver. The forward solution makes use of a gridding algorithm that depends on both model structure and frequency. The RGA represents model parameters as parallel sets of bit strings, and differs from conventional genetic algorithms in the ways in which the bit strings are manipulated in order to increase the probability of convergence to a global minimum objective function model. A synthetic data set was generated from a chessboard model, and the RGA was shown capable of reconstructing the model to an acceptable tolerance. The algorithm was applied to MT data from Ahuachapán geothermal area in El Salvador and compared with other interpretations. Data from the geothermal area of Minamikayabe in Japan served as a second test case. The RGA is highly adaptable and well suited to non-linear hypothesis testing as well as to inverse modelling.