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首页> 外文期刊>Pure and Applied Geophysics >A robust nonlinear inversion for the interpretation of magnetic anomalies caused by faults, thin dikes and spheres like structure using stochastic algorithms
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A robust nonlinear inversion for the interpretation of magnetic anomalies caused by faults, thin dikes and spheres like structure using stochastic algorithms

机译：鲁棒的非线性反演，用于使用随机算法解释由断层，薄堤坝和类似结构的球体引起的磁异常

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摘要

A geophysical interpretative method is proposed to depth, amplitude coefficient (effective magnetization intensity), and index parameter (effective magnetization inclination) determination of a buried structure from magnetic field data anomaly due to a fault, a thin dike or a sphere-like structure. The method is based on the nonlinearly constrained mathematical modelling and also on the stochastic optimization approaches. The proposed interpretative method was first tested on a theoretical synthetic model with different random errors, where a very close agreement was obtained between the assumed and the evaluated parameters. The validity of this method was also tested on practical field data taken from United States, Australia, India and Brazil, where available magnetic data existed and were previously analyzed by different interpretative methods. The agreement between the results obtained by our developed method and those obtained by the other geophysical methods is good.
机译：提出了一种地球物理解释方法，用于根据由断层，细堤或球形结构引起的磁场数据异常确定埋藏结构的深度，振幅系数（有效磁化强度）和指标参数（有效磁化倾角）。该方法基于非线性约束数学建模以及随机优化方法。首先在具有不同随机误差的理论合成模型上对提出的解释方法进行了测试，其中在假设参数和评估参数之间获得了非常接近的一致性。还从美国，澳大利亚，印度和巴西获得的实际田间数据测试了该方法的有效性，这些数据已经存在，并且先前已经通过不同的解释方法进行了分析。通过我们开发的方法获得的结果与通过其他地球物理方法获得的结果之间的一致性很好。

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