Scalable double regularization for 3D Nano-CT reconstruction
文献类型：期刊论文
| 作者 | Tang, Wei1; Li, Meng2 |
| 刊名 | JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
 |
| 出版日期 | 2020-09-01 |
| 卷号 | 192页码:9 |
| 关键词 | Shale Nano-CT Image reconstruction Regularization Scalable algorithm |
| ISSN号 | 0920-4105 |
| DOI | 10.1016/j.petrol.2020.107271 |
| 英文摘要 | Nano-CT (computerized tomography) has emerged as a non-destructive high-resolution cross-sectional imaging technique to effectively study the sub-mu m pore structure of shale, which is of fundamental importance to the evaluation and development of shale oil and gas. Nano-CT poses unique challenges to the inverse problem of reconstructing the 3D structure due to the lower signal-to-noise ratio (than Micro-CT) at the nano-scale, increased sensitivity to the misaligned geometry caused by the movement of object manipulator, limited sample size, and a larger volume of data at higher resolution. We propose a scalable double regularization (SDR) method to utilize the entire dataset for simultaneous 3D structural reconstruction across slices through total variation regularization within slices and L-1 regularization between adjacent slices. SDR allows information borrowing both within and between slices, contrasting with the traditional methods that usually build on slice by slice reconstruction. We develop a scalable and memory-efficient algorithm by exploiting the systematic sparsity and consistent geometry induced by such Nano-CT data. We illustrate the proposed method using synthetic data and two Nano-CT imaging datasets of Jiulaodong (JLD) shale and Longmaxi (LMX) shale acquired in the Sichuan Basin. These numerical experiments show that the proposed method substantially outperforms selected alternatives both visually and quantitatively. |
| WOS关键词 | CONVOLUTIONAL NEURAL-NETWORK ; X-RAY CT ; IMAGE-RECONSTRUCTION ; ALGORITHMS ; QUALITY ; SHALE ; ART |
| 资助项目 | China Scholarship Council ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB1002010] ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; BRAIN Initiative of the United States National Institutes of Health[1R24MH117529] |
| WOS研究方向 | Energy & Fuels ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000575129700052 |
| 出版者 | ELSEVIER |
| 资助机构 | China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; ORAU Ralph E. Powe Junior Faculty Enhancement Award ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health ; BRAIN Initiative of the United States National Institutes of Health |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/98304]  |
| 专题 | 地质与地球物理研究所_其他部门 |
| 通讯作者 | Li, Meng |
| 作者单位 | 1.Chinese Acad Sci, Inst Geol & Geophys, Beijing, Peoples R China 2.Rice Univ, Dept Stat, Houston, TX 77251 USA |
| 推荐引用方式 GB/T 7714 | Tang, Wei,Li, Meng. Scalable double regularization for 3D Nano-CT reconstruction[J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,2020,192:9. |
| APA | Tang, Wei,&Li, Meng.(2020).Scalable double regularization for 3D Nano-CT reconstruction.JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,192,9. |
| MLA | Tang, Wei,et al."Scalable double regularization for 3D Nano-CT reconstruction".JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 192(2020):9. |
入库方式： OAI收割
来源：地质与地球物理研究所
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