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Magnetic Data Profiles Interpretation for Mineralized Buried Structures Identification Applying the Variance Analysis Method
Pure and Applied Geophysics ( IF 2 ) Pub Date : 2020-07-27 , DOI: 10.1007/s00024-020-02553-6
Khalid S. Essa , Salah Mehanee , Mahmoud Elhussein

We have developed a new method for the interpretation of a magnetic anomaly profile by idealized-geometrical bodies using the variance analysis. This method is based on estimating the fourth horizontal derivative of the magnetic data profile. The advantage behind the use of the fourth horizontal derivative method is to reduce the regional background effect. The model parameters estimated are the depth and shape of the buried body using all available window lengths (s-value). Then, the variance value for the calculated depth at each shape value is estimated using all available s-values. The minimum variance is considered as the best criterion for determining the best-inverted parameters (depth and shape). The developed method has been verified on some noise free examples. Following that, the accuracy of the method was assessed by studying the impact of synthetic data with 5%, 10%, and 15% random noise, the effect of the regional background, the influence of interfering structures, and the selection for the wrong origin of the body. The presented method has been successfully applied to three real case studies from Brazil and India from mineral exploration.

中文翻译:

应用方差分析法进行矿化埋藏构造识别的磁数据剖面解释

我们开发了一种使用方差分析通过理想化几何体来解释磁异常剖面的新方法。该方法基于估计磁数据剖面的四次水平导数。使用第四水平导数方法背后的优势是减少区域背景效应。估计的模型参数是使用所有可用窗口长度(s 值)的掩埋体的深度和形状。然后,使用所有可用的 s 值估计每个形状值处计算深度的方差值。最小方差被认为是确定最佳反演参数(深度和形状)的最佳标准。所开发的方法已在一些无噪声示例中得到验证。跟随那个,通过研究具有5%、10%和15%随机噪声的合成数据的影响、区域背景的影响、干扰结构的影响以及对错误的身体来源的选择来评估该方法的准确性. 所提出的方法已成功应用于巴西和印度矿产勘探的三个实际案例研究。
更新日期:2020-07-27
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