CAS OpenIR  > 中科院上海应用物理研究所2011-2019年
Synchrotron radiation-based l(1)-norm regularization on micro-CT imaging in shale structure analysis
Wang, YF; Luo, SS; Wang, LH; Wang, JQ; Jin, C
2017
Source PublicationJOURNAL OF INVERSE AND ILL-POSED PROBLEMS
ISSN0928-0219
Volume25Issue:4Pages:483-497
Subtype期刊论文
AbstractSynchrotron radiation (SR) X-ray tomography is a main technique in realizing imaging of an object section by section. We apply this technique in recovering shale microstructures which becomes a hot topic recently in non-conventional oil and gas exploration. We first set the experimental setup using SR sources at BL13W1 beamline at Shanghai Synchrotron Radiation Facility to obtain the measured data of the shale sample, and then we establish the l(1)-norm constrained regularization model to reconstruct the microstructure of the shale. A fast convergent gradient descent method is developed to realize this purpose. It indicates from our test results that the new method possesses higher resolution of imaging than the conventional results given by the commercial software.
KeywordInverse Problems Reconstruction Restoration Decomposition Optimization Recovery Pursuit
DOI10.1515/jiip-2015-0063
Indexed BySCI
WOS KeywordINVERSE PROBLEMS ; RECONSTRUCTION ; RESTORATION ; DECOMPOSITION ; OPTIMIZATION ; RECOVERY ; PURSUIT
Language英语
WOS IDWOS:000406652700005
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sinap.ac.cn/handle/331007/28842
Collection中科院上海应用物理研究所2011-2019年
Recommended Citation
GB/T 7714
Wang, YF,Luo, SS,Wang, LH,et al. Synchrotron radiation-based l(1)-norm regularization on micro-CT imaging in shale structure analysis[J]. JOURNAL OF INVERSE AND ILL-POSED PROBLEMS,2017,25(4):483-497.
APA Wang, YF,Luo, SS,Wang, LH,Wang, JQ,&Jin, C.(2017).Synchrotron radiation-based l(1)-norm regularization on micro-CT imaging in shale structure analysis.JOURNAL OF INVERSE AND ILL-POSED PROBLEMS,25(4),483-497.
MLA Wang, YF,et al."Synchrotron radiation-based l(1)-norm regularization on micro-CT imaging in shale structure analysis".JOURNAL OF INVERSE AND ILL-POSED PROBLEMS 25.4(2017):483-497.
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