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Automatic interpretation techniques for potential fields data

机译:潜在领域数据的自动解释技术

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Three methods were studied to interpret a magnetic anomaly in Bulgaria. The homogeneity of potential fields serves as the theoretical basis of most of the semiautomatic and automatic methods used in processing large magnetic and gravity datasets - for example, Euler deconvolution, the wavelet transform, and the similarity transform methods. Comparing three automatic methods that could be applied to magnetic and gravity surveys has helped determine the best methodology for interpreting a vertical component magnetic data grid from the Bolyarovo-Voden anomalous zone in Bulgaria. The three methods compared were magnetic and gravity sounding based on the differential similarity transform (MaGSoundDST), magnetic and gravity sounding based on the finite difference similarity transform (MaGSoundFDST), and Euler deconvolution based on the differential similarity transform (DST Euler) algorithm.
机译:研究了三种方法来解释保加利亚的磁异常。势场的均质性是用于处理大型磁场和重力数据集的大多数半自动和自动方法的理论基础,例如,欧拉反卷积,小波变换和相似度变换方法。比较可以应用于磁性和重力测量的三种自动方法,有助于确定解释保加利亚Bolyarovo-Voden异常带垂直分量磁数据网格的最佳方法。比较了三种方法:基于差分相似度变换(MaGSoundDST)的磁和重力测深,基于有限差分相似度变换(MaGSoundFDST)的磁性和重力测深,以及基于差分相似度变换(DST Euler)算法的Euler反卷积。

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