The improved anisotropy normalized variance for detecting non-vertical magnetization anomalies
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摘要: 针对存在强剩磁作用磁化方向不明的磁异常，本项研究探索直接处理斜磁化磁异常的识别，提出了基于磁力梯度张量模的各向异性边界探测方法.首先利用各向异性尺度改进了各向异性标准差的核函数，突出各向异性高斯函数的作用；结合磁力梯度张量模来消弱斜磁化的影响.数值实验模拟了一组复杂磁异常模型，在斜磁化条件下分析该研究方法的边界探测效果.实验表明：改进方法，即磁力梯度张量模的各向异性标准化方差，它可以探测非垂直磁化磁异常的磁源边界；同时指出，改进方法比基于三维解析信号振幅的各向异性标准化方差对磁化方向的依赖性更小.将该方法应用于中国西部某磁铁矿集区的精细探测，在非垂直磁化条件下对实测磁异常直接进行边界探测，获得了较为理想的处理结果.Abstract: For the magnetic field with unknown magnetization direction, it is necessary to study the edge detection for the magnetic source of oblique magnetization directly. In this study, we propose a new edge detection called anisotropy normalized variance based on magnetic gradient tensor (ANV_MGT). First we use an anisotropy scale to improve the core function of ANV to show the effect of the anisotropy Gaussian function. Then the magnetic gradient tensor mode is used in the ANV method to process the anomalies with oblique magnetization. We construct a numerical model of complex magnetic anomalies with oblique magnetization, which is used to test the edge detection method. The model test shows that the proposed method, ANV_MGT, can detect the edge of the magnetic source with non-vertical magnetization direction. It also shows that the proposed method is better than application of ANV on the 3D analytic signal amplitude. In the application to real data from western China, a perfect magnetite ore location is determined by performing ANV_MGT for the non-reduction to the pole data.
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Key words:
- Magnetic exploration /
- Anisotropy normalized variance /
- Gradient tensor /
- Edge detection
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