张楠^1,2,,
吴燕冈¹,
周帅^1,,,
孙鹏飞³
1. 吉林大学地球探测科学与技术学院, 长春 130026
2. 中色杰泰地球物理科技(北京)有限公司, 北京 100012
3. 河北工程大学地球科学与工程学院, 河北邯郸 056038

基金项目: 国家重点研发计划课题（2017YFC0602203），国家青年科学基金项目（41604069），博士后创新人才支持计划和中国博士后科学基金面上资助项目（2018M630323）联合资助


详细信息

作者简介: 张楠, 男, 1981年生, 博士研究生, 主要从事航空重磁探测方法及数据处理技术的研究.E-mail:juanveron@sohu.com

通讯作者: 周帅, 男, 1988年生, 讲师, 主要从事移动平台探测数据处理与解释方法研究.E-mail:zhoushuai@jlu.edu.cn

中图分类号: P631

收稿日期:2018-11-02
修回日期:2019-02-18
上线日期:2019-04-05

3D inversion of airborne gravity gradient data for physical properties based on optimizing constraints of spatial position of the geologic body

ZHANG Nan^1,2,,
WU YanGang¹,
ZHOU Shuai^1,,,
SUN PengFei³
1. College of Geoexploration Science and Technology, Jilin University, Changchun 130026, China
2. Sino-GT Geophysical Technology(Beijing) Company Limited, Beijing 100012, China
3. College of Geosciences and Engineering, Hebei University of Engineering, Handan Hebei 056038, China


More Information

Corresponding author: ZHOU Shuai,E-mail:zhoushuai@jlu.edu.cn

MSC: P631

--> Received Date: 02 November 2018
Revised Date: 18 February 2019
Available Online: 05 April 2019


摘要
摘要:重力数据的物性反演面临着严重的多解性问题，降低多解性的有效手段是加入约束条件.而边界识别、深度估计及成像方法可获取地质体的水平位置、深度范围等几何参数信息，本文将基于数据本身挖掘的地质体几何参数信息约束到物性反演中，以降低反演的多解性.通过引入基于深度信息的深度加权函数及基于水平位置的水平梯度加权函数建立优化约束条件，有效地提高了反演结果的横向及纵向分辨率.重力梯度数据包含更多的地质体空间特征信息，将优化约束反演方法应用到全张量数据的反演中，模型试验表明本文方法反演结果与理论模型更加吻合.最后对美国路易斯安那州文顿盐丘实测航空重力梯度数据的应用表明，本文方法在其他地球物理、地质资料不足的情况下获得更可靠的反演结果.
关键词: 物性反演/
空间位置/
重力全张量/
优化约束

Abstract:The inversion of gravity data for physical properties faces a serious non-uniqueness problem. The effective means to reduce such non-uniqueness is to add more constraints. The edge detecting, depth estimation and imaging methods can obtain the geometric parameters such as the horizontal position and depth range of the geological body. In this paper, the geological body geometric parameter information based on the data itself is constrained to the physical property inversion to reduce the non-uniqueness of inversion. By introducing the depth information-based depth weighting function and the horizontal position-based horizontal gradient weighting function to establish optimizing constraints, the horizontal and vertical resolution of inversion results are effectively improved. The gravity gradient data contains more information on spatial features of the geological body, and the optimizing constrained inversion method is applied to the inversion of full tensor data. Tests on a synthetic model show that the inversion results of this method are more consistent with the theoretical model. Finally, the application of this method to the airborne gravity gradient data in the Vinton Salt in Louisiana, USA shows that this approach permits to obtain more reliable inversion results in the case with insufficient other geophysical and geological data.
Key words:Physical properties inversion/
Spatial position/
Full gravity tensor/
Optimized constraints



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