| 基于航磁垂向分量的深度识别技术研究与应用 |
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| 引用本文： | 梁韧,郭华,郑强,韩松,段然,刘浩军.基于航磁垂向分量的深度识别技术研究与应用[J].地球物理学进展,2020(4):1410-1414. |
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| 作者姓名： | 梁韧 郭华 郑强 韩松 段然 刘浩军 |
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| 作者单位： | 中国自然资源航空物探遥感中心;中国地质大学（北京）地球物理与信息技术学院 |
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| 基金项目： | 国家重点研发计划“深地资源勘查开采”重点专项“航空磁场测量技术系统研制”(2017YFC0602000)资助。 |
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| 摘 要： | 本文提出了一种基于航磁垂向分量数据提取磁性场源体深度的方法.从垂直磁化条件下球体模型垂向分量的正演理论出发,给出了利用垂向分量极大值获取异常体埋深的关系式,并在此基础上推导了约束条件下垂向分量深度识别关系式.该关系式简化了场源深度识别的复杂度,充分利用先验信息且无需进行复杂反演运算,能够较为精确地计算异常体的埋深,为磁性场源体深度的提取提供了一种新的解决方案.理论模型试验证明,利用本文提出的深度识别方法进行深度估算的相对误差绝对值均小于1%,相较于常规的垂向分量极大值方法具有更高的估算精度.将该方法应用于中国北部某地区实测航磁垂向分量数据,获取的深度结果与钻孔资料相一致,深度相对误差绝对值小于10%,验证了本文方法对于实际资料的有效性.
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| 关 键 词： | 航磁 垂向分量 深度识别 埋深 |
Research and application of depth estimation technology based on aeromagnetic vertical component |
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| LIANG Ren,GUO Hua,ZHENG Qiang,HAN Song,DUAN Ran,LIU Hao-jun.Research and application of depth estimation technology based on aeromagnetic vertical component[J].Progress in Geophysics,2020(4):1410-1414. |
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| Authors: | LIANG Ren GUO Hua ZHENG Qiang HAN Song DUAN Ran LIU Hao-jun |
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| Institution: | (China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing 100083,China;School of Geophysics and Information Technology,China University of Geosciences(Beijing),Beijing 100083,China) |
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| Abstract: | In this paper,a method for extracting the depth of magnetic source based on aeromagnetic vertical component data is presented.According to the forward theory of the vertical component of the sphere model under the condition of vertical magnetization,the relationship between the maximum value of the vertical component and the depth of the anomalous body is given.Then,the relationship between the depth of the vertical component and the estimation of the depth of the anomalous body under constrained conditions is deduced.The formula simplifies the complexity of field source depth estimation,makes full use of prior information without complex inversion operation,and can calculate the burial depth of anomalous body more accurately,which provides a new solution for extracting the depth of magnetic source.The theoretical model tests show that the absolute value of relative error of depth estimation by the depth recognition method proposed in this paper is less than 1%,which is more accurate than the conventional vertical component maximum method.The method is applied to the measured vertical components of aeromagnetic data in a certain area of northern China.The depth results obtained are consistent with the borehole data.The absolute value of relative error of depth is less than 10%,which validates effectiveness of the method in this paper. |
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| Keywords: | Aeromagnetic Vertical component Depth recognition Buried depth |
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