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Gravity-magnetic cross-gradient joint inversion by the cyclic gradient method
Sun, Cong1; Wang, Yanfei2,3,4
2020-07-15
Source PublicationOPTIMIZATION METHODS & SOFTWARE
ISSN1055-6788
Pages20
AbstractIn this paper, we consider a joint-inversion problem using different types of geophysical data: gravity and magnetism. We first formulate two kinds of inverse problems in the famework of the first kind Fredholm integral equations, and then build up a sparse inversion model combining the two inverse problems as well as the cross-gradient term. The cyclic gradient method for quadratic function minimization is extended for solving the corresponding optimization problem. We update the stepsizes in a cyclic way, by combining the approximated Cauchy steps and the fixed steplengths. Theoretical analysis shows that the algorithm converges R-linearly. Experimental tests show that the proposed joint inversion sparse model as well as the proposed cyclic gradient method improve the numerical performances effectively, compared to the state of the art.
KeywordJoint inversion l(1) regularization cyclic gradient method linear convergence rate
DOI10.1080/10556788.2020.1786565
Funding OrganizationNational Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST
WOS Keyword3D INVERSION
Language英语
Funding ProjectNational Key R&D Program of The Ministry of Science and Technology of China[2018YFC1504203] ; National Key R&D Program of The Ministry of Science and Technology of China[2018YFC0603500] ; National Natural Science Foundation of China[91630202] ; National Natural Science Foundation of China[11771056] ; National Natural Science Foundation of China[11871115] ; Young Elite Scientists Sponsorship Program by CAST[2017QNRC001]
Funding OrganizationNational Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Key R&D Program of The Ministry of Science and Technology of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST
WOS Research AreaComputer Science ; Operations Research & Management Science ; Mathematics
WOS SubjectComputer Science, Software Engineering ; Operations Research & Management Science ; Mathematics, Applied
WOS IDWOS:000547712600001
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/97119
Collection油气资源研究院重点实验室
Corresponding AuthorWang, Yanfei
Affiliation1.Beijing Univ Posts & Telecommun, Sch Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, POB 9825, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing, Peoples R China
Corresponding Author AffilicationInstitute of Geology and Geophysics, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Sun, Cong,Wang, Yanfei. Gravity-magnetic cross-gradient joint inversion by the cyclic gradient method[J]. OPTIMIZATION METHODS & SOFTWARE,2020:20.
APA Sun, Cong,&Wang, Yanfei.(2020).Gravity-magnetic cross-gradient joint inversion by the cyclic gradient method.OPTIMIZATION METHODS & SOFTWARE,20.
MLA Sun, Cong,et al."Gravity-magnetic cross-gradient joint inversion by the cyclic gradient method".OPTIMIZATION METHODS & SOFTWARE (2020):20.
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