[an error occurred while processing this directive] Global Geology 2018, 21(1) 55-61 DOI:   10.3969/j.issn.1673-9736.2018.01.06  ISSN: 1673-9736 CN: 22-1371/P
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cross gradient
joint inversion
gravity data
gradient data
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ZHAO Simin
GAO Xiuhe
QIAO Zhongkun
JIANG Dandan
ZHOU Fei
LIN Song
PubMed
Article by Zhao S
Article by Gao X
Article by Qiao Z
Article by Jiang D
Article by Zhou F
Article by Lin S
3D Joint inversion of gravity and gravity tensor data
ZHAO Simin1, GAO Xiuhe1, QIAO Zhongkun2, JIANG Dandan1, ZHOU Fei1, LIN Song1
1. College of Geo-Exploration Science and Techonology, Jilin University, Changchun 130026, China;
2. Guangzhou Marine Geological Survey, Guangzhou 510000, China
ժҪ�� The processing and interpretation of gravity and gradient data plays an important role in geophysics. The cross gradient joint inversion is usually used for achieving structure coupling of multiple geophysical models. In order to realize the coupling of gravity and gravity tensor data, the authors analyzed each component. The results show that different types of data contain different direction information, and derived the joint inversion based on cross gradient function and applied it to model data. The theoretical model results show that the cross gradient method can reduce the multi solution and significantly improve the resolution of the inversion. The method was also applied to inverse the gravity tensor data in Vinton salt dome, showing that this method can get higher resolution results than the separate linear inversion, and be closer to the real density from drilling data.
�ؼ����� cross gradient   joint inversion   gravity data   gradient data  
3D Joint inversion of gravity and gravity tensor data
ZHAO Simin1, GAO Xiuhe1, QIAO Zhongkun2, JIANG Dandan1, ZHOU Fei1, LIN Song1
1. College of Geo-Exploration Science and Techonology, Jilin University, Changchun 130026, China;
2. Guangzhou Marine Geological Survey, Guangzhou 510000, China
Abstract: The processing and interpretation of gravity and gradient data plays an important role in geophysics. The cross gradient joint inversion is usually used for achieving structure coupling of multiple geophysical models. In order to realize the coupling of gravity and gravity tensor data, the authors analyzed each component. The results show that different types of data contain different direction information, and derived the joint inversion based on cross gradient function and applied it to model data. The theoretical model results show that the cross gradient method can reduce the multi solution and significantly improve the resolution of the inversion. The method was also applied to inverse the gravity tensor data in Vinton salt dome, showing that this method can get higher resolution results than the separate linear inversion, and be closer to the real density from drilling data.
Keywords: cross gradient   joint inversion   gravity data   gradient data  
�ո����� 2017-10-25 �޻����� 2017-11-25 ����淢������  
DOI: 10.3969/j.issn.1673-9736.2018.01.06
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Supported by Project of National Key Research and Development Plan (No.2017YFC0601606, 2017YFC0602203), National Science and Technology Major Project (No.2016ZX05027-002-03), National Natural Science Foundation of China (No.41604098, 41404089) and State Key Program of National Natural Science of China (No.41430322).

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Chen C W, Rondenay S, Weeraratne D S, et al. 2007. New constraints on the upper mantle structure of the Slave Craton from Rayleigh wave inversion, Geophysical Research Letter,34:L10301
Fedi M, Hansen P W, Paoletti V. 2005. Analysis of depth resolution in potential-field inversion. Geophysics,70:A1-A11.
Fregoso E, Gallardo L A. 2009. Cross-gradients joint 3D inversion with applications to gravity and magnetic data.Geophysics,74(4):L31.
Gallardo L A, Meju M A. 2003. Characterization of heterogeneous near-surface materials by joint 2D inversion of dc resistivity and seismic data.Geophysical Research Letters,30(13):1658-1658.
Gallardo L A, Meju M A. 2004. Joint two-dimensional DC resistivity and seismic travel time inversion with cross-gradients constraints.Journal of Geophysical Research Atmospheres,109:B03311.
Gallardo L A, Meju M A. 2007. Joint two-dimensional cross-gradient imaging of magnetotelluric and seismic traveltime data for structural and lithological classification.Geophysical Journal International,169(3):1261-1272.
Gallardo L A, Meju M A. 2011. Structure-coupled multiphysics imaging in geophysical sciences.Reviews of Geophysics,49:58-66.
Geng M X, Huang D N, Xu B W. 2014. 3D inversion of borehole gravity data using cokriging.Global Geology,17(4):225-230.
Linde N, Binley A, Tryggvason A,et al. 2006. Improved hydrogeophysical characterization using joint inversion of crosshole electrical resistance and ground-penetrating radar traveltime data,Water Resources Research,42:DOI:10.1029/2006WR005131
Oliveira V C, Barbosa V C F. 2013. 3-D radial gravity gradient inversion.Geophysical Journal International,195(2):883-902.
Parker R L. 1983. The magnetotelluric inverse problem,Geophysical Surveys,6(1/2):5-25.
Pawlowski B. 1998. Gravity gradiometry in resource exploration.Leading Edge,17(1):51-52.
Qin P, Huang D, Yuan Y,et al. 2016. Integrated gravity and gravity gradient 3D inversion using the non-linear conjugate gradient.Journal of Applied Geophysics,126:52-73. (in Chinese with English abstract)
Salem A, Masterton S, Campbell S,et al. 2013. Interpretation of tensor gravity data using an adaptive tilt angle method.Geophysical Prospecting,61(5):1065-1076.
Tarantola A. 2005. Inverse problem theory and methods for model parameter estimation. Philadelphia:Society for Industrial & Applied Mathematics, 1-342.
Vozoff K, Jupp D L B, Vozoff K,et al. 1977. Effective search for a buried layer:an approach to experimental design in geophysics.Exploration Geophysics,8(1):6-15.
Wagner D, Koulakov I, Rabbel W, et al. 2007. Joint inversion of active and passive seismic data in Central Java.Geophysical Journal International,170(2):923-932.
Zhou J, Meng X, Guo L,et al. 2015. Three-dimensional cross-gradient joint inversion of gravity and normalized magnetic source strength data in the presence of remanent magnetization.Journal of Applied Geophysics,119:51-60.
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1��YUAN Zhiyi, ZENG Zhaofa, JIANG Dandan, HUAI Nan, ZHOU Fei.Multi-component joint inversion of gravity gradient based on fast forward calculation[J]. Global Geology, 2017,20(3): 176-183
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