重磁(梯度)张量数据边界识别方法研究
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  • 英文篇名:Investigation about edge recognition using(gradient)tensor data of magnetic and gravity
  • 作者:赵建宇 ; 明彦伯 ; 孙成城 ; 张志东 ; 刘晓甲
  • 英文作者:ZHAO Jianyu;MING Yanbo;SUN Chengcheng;ZHANG Zhidong;LIU Xiaojia;College of Geoexploration Science And Technology Jilin University;
  • 关键词:边界识别 ; 重磁(梯度)张量数据 ; 重磁勘探
  • 英文关键词:boundary identification;;(gradient)tensor data of magnetic and gravity;;gravity and magnetic exploration
  • 中文刊名:WTHT
  • 英文刊名:Computing Techniques for Geophysical and Geochemical Exploration
  • 机构:吉林大学地球探测科学与技术学院;
  • 出版日期:2017-11-15
  • 出版单位:物探化探计算技术
  • 年:2017
  • 期:v.39;No.176
  • 基金:国家重点研发项目(2016YFC0600505)
  • 语种:中文;
  • 页:WTHT201706006
  • 页数:7
  • CN:06
  • ISSN:51-1242/P
  • 分类号:40-46
摘要
边界识别是重力数据解释的常规任务之一,但地质体的边界不能很好地与重力原始异常数据对应,而与重磁异常水平导数极大值、垂直导数零值相对应,因此大多利用该性质完成重磁边界识别任务。研究发现,现有边界识别方法会出现虚假边界,针对现有边界识别方法进行总结,并针对多余边界问题进行改进,提出新的边界识别,通过模型试验和实际数据证明,该方法可有效地去除多余边界,且降低了噪声的干扰,为重磁数据边界识别方法提供新的思路。
        The boundary identification is one of the regular tasks of gravity and magnetic data interpretation,but gravity and magnetic raw anomaly data does not well correspond to the boundary of geological body.The maximum value of the horizontal derivative of gravity and magnetic anomalies are corresponding to the zero value of vertical derivative,which is used mostly to complete the assignment of gravity and magnetic boundary identification.We find that false boundary is caused by using current boundary identification method.This article summarizes the current boundary identification method and corrects the problem of excessive boundaries to present new boundary identification method.This new method can effectively remove excessive boundaries and reduces the disturbance of noise,which provides a new thinking way for gravity and magnetic data boundary identification method.
引文
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