Magnetic susceptibility inversion method with full tensor gradient data using low-temperature SQUIDs

被引：0

作者：

Yan-Fei Wang ^{[1
,2
,3
]}

Liang-Liang Rong ^{[2
,4
]}

Long-Qing Qiu ^{[2
,4
]}

D.V.Lukyanenko ^{[5
]}

A.G.Yagola ^{[5
]}

机构：

[1] Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences

[2] University of the Chinese Academy of Sciences

[3] Institutions of Earth Science, Chinese Academy of Sciences

[4] Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences

[5] Physical Faculty, Lomonosov Moscow State University

来源：

Petroleum Science | 2019年 / 04期

基金：

中国国家自然科学基金; 俄罗斯基础研究基金会;

关键词：

Full tensor magnetic gradient; Susceptibility; Sparse regularization;

D O I：

暂无

中图分类号：

P631.2 [磁法勘探];

学科分类号：

0818 ; 081801 ; 081802 ;

摘要：

Full tensor magnetic gradient measurements are available nowadays. These are essential for determining magnetization parameters in deep layers. Using full or partial tensor magnetic gradient measurements to determine the subsurface properties, e.g., magnetic susceptibility, is an inverse problem. Inversion using total magnetic intensity data is a traditional way.Because of di culty in obtaining the practical full tensor magnetic gradient data, the corresponding inversion results are not so widely reported. With the development of superconducting quantum interference devices（SQUIDs）, we can acquire the full tensor magnetic gradient data through field measurements. In this paper, we study the inverse problem of retrieving magnetic susceptibility with the field data using our designed low-temperature SQUIDs. The solving methodology based on sparse regularization and an alternating directions method of multipliers is established. Numerical and field data experiments are performed to show the feasibility of our algorithm.

引用

页码：794 / 807

页数：14

共 50 条

[1] Magnetic susceptibility inversion method with full tensor gradient data using low-temperature SQUIDs
Wang, Yan-Fei
Rong, Liang-Liang
Qiu, Long-Qing
Lukyanenko, D. V.
Yagola, A. G.
[J]. PETROLEUM SCIENCE, 2019, 16 (04) : 794 - 807
[2] Magnetic susceptibility inversion method with full tensor gradient data using low-temperature SQUIDs
YanFei Wang
LiangLiang Rong
LongQing Qiu
DVLukyanenko
AGYagola
[J]. Petroleum Science., 2019, 16 (04) - 807
[3] MAGNETIC PARAMETERS INVERSION METHOD WITH FULL TENSOR GRADIENT DATA
Wang, Yanfei
Lukyanenko, Dmitry
Yagola, Anatoly
[J]. INVERSE PROBLEMS AND IMAGING, 2019, 13 (04) : 745 - 754
[4] Regularizing inversion of susceptibility with projection onto convex set using full tensor magnetic gradient data
Ji, Shuangxi
Wang, Yanfei
Zou, Anqi
[J]. INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 2017, 25 (02) : 202 - 217
[5] Three-dimensional inversion of full magnetic gradient tensor data based on hybrid regularization method
Ji, Shuangxi
Zhang, Huai
Wang, Yanfei
Rong, Liangliang
Shi, Yaolin
Chen, Yongshun
[J]. GEOPHYSICAL PROSPECTING, 2019, 67 (01) : 226 - 261
[6] Reconstruction of Magnetic Susceptibility Using Full Magnetic Gradient Data
Wang, Y.
Kolotov, I. I.
Lukyanenko, D. V.
Yagola, A. G.
[J]. COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS, 2020, 60 (06) : 1000 - 1007
[7] Reconstruction of Magnetic Susceptibility Using Full Magnetic Gradient Data
Y. Wang
I. I. Kolotov
D. V. Lukyanenko
A. G. Yagola
[J]. Computational Mathematics and Mathematical Physics, 2020, 60 : 1000 - 1007
[8] Large Airborne Full Tensor Gradient Data Inversion Based on a Non-Monotone Gradient Method
Yong Sun
Zhaohai Meng
Fengting Li
[J]. Pure and Applied Geophysics, 2018, 175 : 1065 - 1084
[9] Large Airborne Full Tensor Gradient Data Inversion Based on a Non-Monotone Gradient Method
Sun, Yong
Meng, Zhaohai
Li, Fengting
[J]. PURE AND APPLIED GEOPHYSICS, 2018, 175 (03) : 1065 - 1084
[10] LOW-TEMPERATURE NOISE OF THE MAGNETIC-FLUX IN HTSC SQUIDS
SHNYRKOV, VI
TIMOFEEV, VP
TSOY, GM
KHLUS, VA
DEMIN, AV
[J]. FIZIKA NIZKIKH TEMPERATUR, 1995, 21 (06): : 604 - 612

← 1 2 3 4 5 →