Removal of galvanic distortion effects in 3D magnetotelluric data by an equivalent source technique

大地电磁法 失真(音乐) 电阻抗 电场 极化(电化学) 反演(地质) 声学 地质学 算法 电子工程 计算机科学 电阻率和电导率 物理 工程类 电气工程 化学 地震学 构造学 量子力学 物理化学 放大器 CMOS芯片
作者
Wenwu Tang,Yaoguo Li,Douglas W. Oldenburg,Jianxin Liu
出处
期刊:Geophysics [Society of Exploration Geophysicists]
卷期号:83 (2): E95-E110 被引量:12
标识
DOI:10.1190/geo2016-0668.1
摘要

The galvanic distortion induced by the electric charge buildup across near-surface inhomogeneities can severely affect the interpretation of magnetotelluric (MT) data for deeper structures. In addition to the methods already available, we have developed an alternative approach for processing MT impedance data with such distortions using an equivalent source technique. One prerequisite for the method is that all data are acquired on the surface, which is nearly always the case in land-based MT surveys. The method works with the electric field scaled from the impedance data and constructs an equivalent electrical polarization layer that attempts to reproduce the signal in the data while misfitting the galvanic distortion. Because of the uncorrelated characteristics of galvanic distortions across multiple stations at the same frequency, they can be distinguished and removed by constructing an equivalent source layer of electrical polarization using a regularized inverse formulation. The tradeoff between the signal and distortion is achieved through the use of generalized cross-validation method during the equivalent source construction, whereas the choice of equivalent source parameters also affects the separation. Numerical tests indicate that good results are obtained when the depth of the equivalent source layer is slightly greater than 10 times the nominal data spacing, and the lateral extent is twice that of the data area. The simultaneous processing with multiple frequencies yields more stable apparent resistivity curves than the separate single-frequency processing. The method has performed well in removing the galvanic distortions in the synthetic- and field-data examples.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
十月天发布了新的文献求助10
1秒前
fighting完成签到,获得积分10
2秒前
hq发布了新的文献求助10
2秒前
111发布了新的文献求助10
2秒前
Jiaxing发布了新的文献求助10
2秒前
tiantian发布了新的文献求助10
2秒前
SIHUONIANHUA发布了新的文献求助10
2秒前
苗觉觉完成签到,获得积分10
3秒前
胆大心细完成签到,获得积分20
3秒前
3秒前
AAA完成签到,获得积分10
3秒前
lobster发布了新的文献求助10
4秒前
tc发布了新的文献求助30
4秒前
4秒前
right完成签到,获得积分10
4秒前
热情友桃完成签到,获得积分20
4秒前
Oo完成签到,获得积分20
4秒前
lolo发布了新的文献求助10
5秒前
5秒前
yi完成签到,获得积分10
5秒前
Fairy发布了新的文献求助10
5秒前
刘泽楷应助daomaihu采纳,获得100
5秒前
刘泽楷应助daomaihu采纳,获得100
5秒前
刘泽楷应助daomaihu采纳,获得100
5秒前
5秒前
加油吧少年完成签到,获得积分10
5秒前
刘泽楷应助daomaihu采纳,获得100
5秒前
6秒前
刘泽楷应助daomaihu采纳,获得100
6秒前
yiyiyi完成签到,获得积分10
6秒前
6秒前
6秒前
6秒前
6秒前
6秒前
糟糕的日记本完成签到,获得积分10
7秒前
大模型应助无敌土豆番茄采纳,获得10
7秒前
Owen应助SIHUONIANHUA采纳,获得10
7秒前
8秒前
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Nine new races of Peronospora manshurica found on soybeans in the Midwest 1000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Eudora Welty and Modern Media 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7773564
求助须知:如何正确求助?哪些是违规求助? 9315645
关于积分的说明 20346500
捐赠科研通 7359234
什么是DOI,文献DOI怎么找? 3317215
关于科研通互助平台的介绍 2465825
邀请新用户注册赠送积分活动 2332323