文章摘要
安少乐.改进的倾斜角法在位场场源边界识别中的应用[J].地质与勘探,2020,56(4):774-782
改进的倾斜角法在位场场源边界识别中的应用
Application of the improved tilt angle method to source edge detection of the potential field
投稿时间:2019-07-22  修订日期:2020-05-08
DOI:10.12134/j.dzykt.2020.04.010
中文关键词: 位场 边界识别 叠加异常 增强的倾斜角法 东天山
英文关键词: potential field, edge detection, superimposed anomaly, enhanced tilt angle, eastern Tianshan
基金项目:新疆维吾尔自治区自然科学基金项目(编号:2019D01B52);国家重点研发计划(编号:2017YFC0601201)联合资助
作者单位E-mail
安少乐 中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室新疆乌鲁木齐 新疆矿产资源与数字地质重点实验室新疆乌鲁木齐 中国科学院新疆矿产资源研究中心新疆乌鲁木齐 中国科学院大学北京 甘肃省地矿局第二地质矿产勘查院甘肃兰州 asl610@163.com 
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中文摘要:
      位场场源边界识别是位场数据分析解释中的重点及难点。相邻异常源由于场的叠加而难以区分,尤其是对于叠加异常中不同深度的场源边界的识别。倾斜角法是位场数据处理中常用的边界增强方法之一,能有效突出低振幅、短波长的异常特征。本文基于倾斜角法定义了新的位场边界探测方法,该方法利用倾斜角方程中位场二阶垂直导数与垂向导数水平导数之比计算,能有效区分相邻异常源产生的叠加异常,突出叠加异常中不同深度场源的边界特征。通过综合模型和实测数据,并与现有的基于导数的位场边界探测方法进行比较,评价了该方法的应用效果。结果表明,该方法对场源深度的变化不太敏感,它可以更准确地确定场源边界,区分相邻异常源的叠加异常,尤其对密集型组合地质构造的识别有较好的效果,即使是在场源埋深较大情况下,也能突出叠加异常中不太明显的微弱变化的线性异常特征,以及弱异常源的形态特征,可为精细研究局部地质构造提供技术支持
英文摘要:
      Source edge recognition is a key and difficult issue in data analysis and interpretation of the potential field. It is difficult to distinguish adjacent anomalous sources because of their field superposition, especially for the edge detection of field sources with different depths in superimposed anomalies. In this paper, a new potential field edge detection method is proposed based on the tilt angle method. This method calculates the ratio of the second-order vertical derivative of the potential field to the horizontal derivative in the tilt angle equation. It can effectively distinguish the superimposed anomalies generated by adjacent anomalous sources and highlight the boundary characteristics of sources at varied depths in superimposed anomalies. The new method is tested and the application effect is evaluated on synthetic models and measured data from eastern Tianshan by comparing with the existing derivative-based potential field edge detection method. The results show that the new method is not sensitive to the depth variation of field sources, and able to conduct more accurate estimation of field source edges and separation of superimposed anomalies from adjacent anomalous sources, especially for the identification of dense combined geological structures. Even for deep-buried field sources, this method can highlight the lineation and shape of weak anomalous sources that are not so evident in superimposed anomalies. This method thus can provide technical support for fine study of local geological structures.
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