摘要
本文利用方向解析信号进行磁张量数据的边界识别和解释,该方法最大优势是在进行反演时不用给出异常体形状的先验信息,且得到结果受磁化方向干扰小。文中给出了方向解析信号的定义,以及进行边界识别的基本公式,并将方向解析信号与欧拉方程联合进行异常的解释。通过对不同形状地质体产生的磁张量异常进行试验,表明该法能很好地完成张量数据的边界识别和解释。将其用于M区实测数据计算,获得了地下磁性体的分布特征。
In this paper,we propose a method for boundary detection and interpretation of magnetic gradient tensor(MGT) data by directional analytic signal.The advantage of this method is that it does not need some prior information about the source shape in the inversion,and the inversion results are less affected by the magnetization direction.The definition of the directional analytic signal and the expression for the boundary detection of the source are given in the paper,and the combination of the directional analytic signal and Euler deconvolution are used to interpret the MGT data.This new method is tested on synthetic magnetic anomalies generated by different models,and the inversion results show that the method can successfully identify the source boundary and interpret the MGT data.The method is also applied to real measured magnetic data,and the distribution of subsurface magnetic sources is obtained.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2012年第5期815-821,844+682,共7页
Oil Geophysical Prospecting
基金
中国地质调查局地质矿产调查评价专项项目(GZH003-07-03)资助
关键词
解析信号
张量
边界
欧拉反褶积
磁异常
analytic signal,tensor,boundary,Euler deconvolution,magnetic anomaly
