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New techniques for removing static shift from CSAMT data based on Fourier transform and Radon transform

机译:基于傅里叶变换和Radon变换从CSAMT数据中移除静态偏移的新技术

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This paper proposed two new techniques to reduce the static shift effect in Controlled Source Audio-frequency Magnetotelluric (CSAMT) method in terms of image and signal, by applying Radon transform and Fourier transform, respectively, for data processing. The first method compensates for the static effect in CSAMT data by repositioning the value around θ = 90° and θ = 270° in Radon domain. The second method corrects the CSAMT data by smoothening out the low-frequency components, in Fourier domain. We established 3D model to simulate the static shift that occurs when a low resistive body exists near the surface and corrects it with the two methods. We also applied the two methods to real CSAMT data. The study proved that the effects of small-scale scattering caused by inhomogeneity near the surface can be effectively removed by Radon transform method and Fourier transform method.
机译:本文提出了两种新技术,通过分别应用Radon变换和傅里叶变换来降低控制源音频磁通磁电机(CSAMT)方法的静态移位效果以进行数据处理。第一种方法通过在氡域中重新定位θ= 90°和θ= 270°的值来补偿CSAMT数据中的静态效果。第二种方法通过在傅立叶域中平滑低频分量来校正CSAMT数据。我们建立了3D模型,以模拟在表面附近存在低电阻体并用两种方法校正它时发生的静换档。我们还将两种方法应用于真正的CSAMT数据。该研究证明,通过氡变换法和傅里叶变换方法可以有效地去除表面附近的不均匀性引起的小规模散射的影响。

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