周文月^1,,
陈昌昕²,
侯振隆³,
秦朋波⁴,
王泰涵¹
1. 吉林大学地球探测科学与技术学院, 长春 130061
2. 北京派特森科技股份有限公司, 北京 100015
3. 东北大学资源与土木工程学院, 沈阳 110819
4. 国防科技大学机电工程与自动化学院, 长沙 410000

基金项目: 国家重点研发计划课题（2017YFC0602203，2017YFC0601606），国家油气重大专项子任务（2016ZX05027-002-003），科技部重大仪器专项"海洋-航空重力仪研制"（2011YQ12004505）和吉林大学研究生创新基金资助项目（2017179）联合资助


详细信息

作者简介: 周文月, 女, 1989年生, 博士研究生, 主要从事位场数据处理及解释方面的研究.E-mail:zhouwy13@mails.jlu.edu.cn

中图分类号: P631

收稿日期:2017-05-11
修回日期:2018-01-30
上线日期:2018-08-05

The study on the joint Euler deconvolution method of different heights

ZHOU WenYue^1,,
CHEN ChangXin²,
HOU ZhenLong³,
QIN PengBo⁴,
WANG TaiHan¹
1. College of Geo-exploration Science and Technology, Jilin University, Changchun 130061, China
2. Beijing Petrosound Geoservices Co., Ltd, Beijing 100015, China
3. School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China
4. Department of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha 410000, China


MSC: P631

--> Received Date: 11 May 2017
Revised Date: 30 January 2018
Available Online: 05 August 2018


摘要
摘要:基于不同测量高度重力场及其梯度数据可同时对应同一场源并用于反演场源位置的分析原理，拓展不同高度场数据在欧拉反褶积法中的应用范围.首先，立足于对欧拉反褶积方法的理论研究基础，提出不同高度数据融合联合欧拉反演公式.其次，在理论模型上对多种高度数据联合反演做了测试分析计算，验证了不同高度场数据融合联合欧拉反褶积法能够改善位场解释中单一观测面数据计算带来的解的发散问题，收敛过程由此改善.最后，将本文方法应用于龙门山地区实际重力数据的解释，获得了研究区断裂分布特征.
关键词: 联合欧拉反褶积/
数据融合/
不同高度/
构造指数/
高度因子

Abstract:This paper developed algorithms for different heights of Euler deconvolution to handle gridded gravity data. Since surface data in different heights corresponds to the same potential source and the gravity data and its gradient can be used to inverse for the position of the source, we expand the application range of different observation heights data in Euler deconvolution method. Firstly, we developed joint Euler deconvolution of different heights data by referring to traditional Euler deconvolution theory. Secondly, by testing on synthetic data, we conclude that these effective measures with a variety of different heights data which were used in Euler deconvolution can improve the focusing capability in single-observation surface inversion. Finally, we apply this new method to the real gravity data of Longmenshan Zone, and we obtain the character of faults distribution and we can estimate the fault depth.
Key words:Joint Euler deconvolution/
Joint data/
Different heights/
Structure index/
Altitude factor



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