文章摘要
张双喜.利用磁异常模量进行磁性体边界检测[J].地质与勘探,2015,51(6):1025-1032
利用磁异常模量进行磁性体边界检测
Edge detection of magnetic bodies using the modulus of magnetic anomalies
投稿时间:2015-06-10  修订日期:2015-09-06
DOI:
中文关键词: 剩磁 磁异常模量 改进的Tilt梯度 边界检测 坦桑尼亚
英文关键词: remanent magnetization, modulus of magnetic anomaly, improved tilt derivative, edge detection, Tanzania
基金项目:国家“973”计划项目子课题(编号:2012CB416800)和科研院所基本科研资金资助项目(编号: WHS201211)联合资助
作者单位E-mail
张双喜 中国冶金地质总局地球物理勘查院河北保定中国地质大学(武汉)地球物理与空间信息学院地球内部多尺度成像湖北省重点实验室湖北武汉 qingshan-zhang@163.com 
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中文摘要:
      地下磁性体具有较强的剩磁或退磁会给磁异常解释带来困难。由于磁异常模量对磁化方向不敏感,将磁异常转换为磁异常模量并用来分析和处理,可很大程度上提高磁异常解释的准确性和可靠性。本文介绍了五种磁异常模量,并且利用改进的Tilt梯度的方法对各磁异常模量数据作边界检测,确定地下磁性体的水平位置。理论模型试验表明,在存在强剩磁的情况下,不同模量数据对磁性体的反应程度不一样,运用改进的Tilt梯度对磁异常模量进行处理,可不同程度提高对异常体的识别,其中模量E最为准确,可较清晰地识别磁性体边界。笔者还将该方法运用到坦桑尼亚基戈马地区航磁异常处理,并推测了该地区构造带及磁性体边界,为深入了解基戈马成矿区带地质和成矿背景以及可能矿床分布提供了重要信息。
英文摘要:
      The underground magnetized bodies with strong remanent magnetization and demagnetization can bring difficulties in the interpretation of magnetic anomalies. Because the modulus of magnetic anomalies is not sensitive to the direction of magnetization, we can transform magnetic anomalies into the modulus for further processing, so as to improve the accuracy and reliability of the interpretation of magnetic anomalies to a large extent. In this paper, five kinds of modulus of magnetic anomalies are presented, and then we attempt to detect the edges of underground magnetized bodies from the transformed signals using the improved Tilt gradient method. The test on a theoretical model shows that in the presence of remanent magnetization, the different modulus values have varied responses differently to the magnetic bodies. The modulus derived from the improved Tilt gradient method can raise the recognition capability to different degrees, and modulus E is most accurate among these moduli. At last, this method is also applied to the aeromagnetic data acquired from the Kigoma area, Tanzania. The distribution of the horizontal boundaries and trends of tectonic belts and other magnetized sources are inferred, which can provide useful information on geological and metallogenic background and ore deposit distribution in the Kigoma area.
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