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基于层源位场的重力及其梯度数据联合相关成像
引用本文:林涛,曾昭发,于平,周帅,焦健.基于层源位场的重力及其梯度数据联合相关成像[J].世界地质,2022(1).
作者姓名:林涛  曾昭发  于平  周帅  焦健
作者单位:吉林大学地球探测科学与技术学院
基金项目:国家重点研发计划(2020YFE0201300);吉林省科技发展计划(20200201211)联合资助。
摘    要:为提高重力与重力梯度数据联合成像的纵向分辨率,笔者提出基于层源位场的重力及其梯度联合相关成像方法。为体现不同深度位置地质目标体的空间分布特征,采用均值滤波法和插值-切割分离法分离位场异常,并使用向下延拓方法得到不同深度层的层源重力及其梯度数据,在此基础上实现分层重力及其梯度的联合相关成像。将本文方法应用到多个立方体的组合模型中,对不同深度切片的场源数据进行快速成像,结果显示该方法相较于传统的相关成像方法具有更高的纵向分辨率。将本文方法应用于Humble盐丘的实测数据中,成像结果显示该方法能够有效地进行盐丘空间分布特征的三维刻画。

关 键 词:重力梯度  反演  相关成像

Joint probability tomography for gravity and its gradiometry data based on strata-source potential field
LIN Tao,ZENG Zhaofa,YU Ping,ZHOU Shuai,JIAO Jian.Joint probability tomography for gravity and its gradiometry data based on strata-source potential field[J].World Geology,2022(1).
Authors:LIN Tao  ZENG Zhaofa  YU Ping  ZHOU Shuai  JIAO Jian
Institution:(College of Geo-exploration Science and Technology,Jilin University,Changchun 130026,China)
Abstract:In order to improve vertical resolution of joint imaging for gravity and gravity gradiometry data,the authors propose a joint probability tomography method based on strata-source potential field.To reflect the spatial distribution characteristics of geological bodies in strata of different depths,the mean filtering method and the cutting separation method are used to separate potential field anomalies,and the strata-source gravity and gravity gradiometry data of different depths are obtained by the downward continuation method,on which the probability tomography of strata-source gravity and its gradiometry data is achieved.Applying the method to a combined model of multiple cubes,it enables fast imaging on field data instrata of different depths with higher vertical resolution than conventional probability tomography methods.The method is also applied to the measured data of the Humble salt dome.The imaging result shows the method can effectively carry out the three-dimensional portrayal of the spatial distribution characteristics of the salt dome.
Keywords:gravity gradiometry  inversion  probability tomography
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