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估计磁场源位置的倾斜角梯度算法改进
引用本文:石磊,郭良辉,孟小红.估计磁场源位置的倾斜角梯度算法改进[J].物探与化探,2012(2):287-292.
作者姓名:石磊  郭良辉  孟小红
作者单位:1. 中国地质大学地下信息探测技术与仪器教育部重点实验室,北京100083
2. 中国地质大学地球物理与信息技术学院,北京100083
基金项目:国家自然科学基金项目(40904033,41074095);中央高校基本科研业务费专项资金(2010ZY26,2011PY0184)资助;SinoProbe专项课题(201011039,201011049-03)联合资助
摘    要:倾斜角梯度法在未知场源物性先验知识和构造指数情况下,可快速估计出场源的边界位置和深度分布,对于大面积实测磁异常的快速解释具有应用前景。笔者在Salem的倾斜角梯度法基础上,提出了一些算法改进。在导数换算上采用空间域有限差分法换算磁异常的水平导数,采用ISVD算法换算磁异常的高阶垂直导数。在剔除坏解上,采用磁异常广义倾斜角梯度的总水平梯度滤波法和场源深度有效性筛选法相结合。理论模型数据试验表明本方法简单快速,效果明显。

关 键 词:磁异常  场源定位  欧拉反褶积  倾斜角梯度  垂直导数

ALGORITHM IMPROVEMENT OF THE TILT-ANGLE DERIVATIVES METHOD FOR LOCATING MAGNETIC SOURCE
SHI Lei,GUO Liang-hui,MENG Xiao-hong.ALGORITHM IMPROVEMENT OF THE TILT-ANGLE DERIVATIVES METHOD FOR LOCATING MAGNETIC SOURCE[J].Geophysical and Geochemical Exploration,2012(2):287-292.
Authors:SHI Lei  GUO Liang-hui  MENG Xiao-hong
Institution:1,2(1.Key Laboratory of Geo-detection of Ministry of Education,China University of Geosciences,Beijing 100083,China;2.School of Geophysics and Information Technology,China University of Geosciences,Beijing 100083,China)
Abstract:Tilt-angle derivatives method requires no source property and structural index and can quickly estimate magnetic source boundary location and depth distribution,thus having good prospect in rapid interpretation of large-area magnetic anomalies.In this paper,the authors present some algorithm improvements based on Salem’s tilt-angle derivatives method.Finite difference method is used in space domain to convert horizontal derivatives of magnetic anomalies,and ISVD algorithm is employed to convert high-level vertical derivatives of magnetic anomalies.A method is also presented which combines the filtering generalized tilt-angle total horizontal derivatives of magnetic anomalies with screening the effectiveness of source depth to remove bad solutions.Theoretical model test shows that this method is simple and quick,and hence its effect is obvious.
Keywords:magnetic anomaly  magnetic sourc location  Euler deconvolution  tile-angle derivatives  vertical derivative
本文献已被 CNKI 维普 万方数据 等数据库收录!
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