中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地质与地球物理研究所
  3. 中国科学院地质与地球物理研究所
  4. 中国科学院油气资源研究重点实验室
Shale Microstructure Prediction with Nonsmooth Sparse Regularizing X-Ray CT Imaging

文献类型：期刊论文

作者Ma, Qinghua1; Xu, Zuoliang5; Wang, Yanfei4; Wang, Yu3; Wang, Lihua2; Wang, Jianqiang3
刊名NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION
出版日期2020-09-01
页码11
关键词Data-based image analysis micro-CT imaging sparse regularization
ISSN号0163-0563
DOI10.1080/01630563.2020.1813168
英文摘要Microscopic analysis of mineral distributions in shale receives much attention in recent years. Traditional methods such as optical and scanning electron microscopy are common tools for providing valuable information of microstructures; however, they belong to surface observations, which damage the shale sample and only generate a 2D image. We consider using the X-ray computerized tomography (CT) based on synchrotron radiation (SR) to generate 3D image reconstructions. In addition, with the CT imaging data, we are required to analyze compositional microstructures of the shale. Hence, we are faced with two kinds of inverse problems: model-based and data-based inverse problems. For the X-ray tomographic imaging, the filtered backprojection is the well-adopted conventional algorithm, but it is sensitive to noise and is inflexible. So, we will develop the nonsmooth sparse regularizing technique for this issue. For the later one, we need to consider the CT-data constrained minimization technique. Solving methodologies will be addressed. Experimental tests for both inverse problems will be given.
WOS关键词RETRIEVAL
资助项目Original Innovation Program of CAS[ZDBSLY-DQC003] ; Key Research Program of the Institute of Geology and Geophysics, CAS[IGGCAS-201903] ; National Natural Science Foundation of China[91630202] ; National Natural Science Foundation of China[11571365] ; Strategic Priority Research Program of the Chinese Academy of Science[XDB10020100]
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000566638300001
出版者TAYLOR & FRANCIS INC
资助机构Original Innovation Program of CAS ; Original Innovation Program of CAS ; Original Innovation Program of CAS ; Original Innovation Program of CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science ; Original Innovation Program of CAS ; Original Innovation Program of CAS ; Original Innovation Program of CAS ; Original Innovation Program of CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science ; Original Innovation Program of CAS ; Original Innovation Program of CAS ; Original Innovation Program of CAS ; Original Innovation Program of CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science ; Original Innovation Program of CAS ; Original Innovation Program of CAS ; Original Innovation Program of CAS ; Original Innovation Program of CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science ; Strategic Priority Research Program of the Chinese Academy of Science
源URL[http://ir.iggcas.ac.cn/handle/132A11/98232]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Xu, Zuoliang; Wang, Yanfei
作者单位1.Union Univ, Coll Appl Arts & Sci Beijing, Beijing, Peoples R China
2.Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai Synchrotron Radiat Facil, Shanghai 201204, Peoples R China
3.Chinese Acad Sci, Shanghai Inst Appl Phys, Key Lab Interfacial Phys & Technol, Shanghai 201800, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China
5.Renmin Univ China, Beijing 100872, Peoples R China
推荐引用方式
GB/T 7714		 Ma, Qinghua,Xu, Zuoliang,Wang, Yanfei,et al. Shale Microstructure Prediction with Nonsmooth Sparse Regularizing X-Ray CT Imaging[J]. NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION,2020:11.
APA Ma, Qinghua,Xu, Zuoliang,Wang, Yanfei,Wang, Yu,Wang, Lihua,&Wang, Jianqiang.(2020).Shale Microstructure Prediction with Nonsmooth Sparse Regularizing X-Ray CT Imaging.NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION,11.
MLA Ma, Qinghua,et al."Shale Microstructure Prediction with Nonsmooth Sparse Regularizing X-Ray CT Imaging".NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION (2020):11.

入库方式： OAI收割

来源：地质与地球物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。