Regularization and optimization methods for micro pore structure analysis of shale based on neural networks
文献类型：期刊论文
| 作者 | Wang YanFei1,2,3; Zou AnQi1,2,3 |
| 刊名 | ACTA PETROLOGICA SINICA
 |
| 出版日期 | 2018 |
| 卷号 | 34期号:2页码:281-288 |
| 关键词 | Shale Micropore Structure Ct Image Segmentation Neural Network Computing Optimization And Regularization |
| ISSN号 | 1000-0569 |
| 文献子类 | Article |
| 英文摘要 | The mechanism of shale gas accumulation is closely related to the internal pore structure of shale. The study of the shale pore structure has become an important issue of the shale gas exploration technology. Since different structural components within the shale possess different X-ray absorption spectra, the observed CT data consists of different shale components attenuating X-rays in different bands. With the CT image segmentation, the images of shale micropores can be obtained, especially the pore type, shape, size, spatial distribution and connectivity. In this paper, based on the reconstructed synchrotron radiation X-ray shale CT data, we develop a neural network image segmentation technology and algorithm based on multi-energy CT image data in order to obtain the 3D structural characteristics and spatial distribution of shale. The new technology can be used to establish the relationship between the organic matter species and the inorganic mineral composition, so as to obtain the micro- and nano-pore features, as well as to provide technical support for the assessment of reserves of the shale gas resource and for the exploration. |
| WOS关键词 | MISSISSIPPIAN BARNETT SHALE ; PERMEABILITY ; HYDROCARBON ; TOMOGRAPHY ; RESERVOIR ; OIL |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000429429000004 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/88358]  |
| 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 | Wang YanFei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang YanFei,Zou AnQi. Regularization and optimization methods for micro pore structure analysis of shale based on neural networks[J]. ACTA PETROLOGICA SINICA,2018,34(2):281-288. |
| APA | Wang YanFei,&Zou AnQi.(2018).Regularization and optimization methods for micro pore structure analysis of shale based on neural networks.ACTA PETROLOGICA SINICA,34(2),281-288. |
| MLA | Wang YanFei,et al."Regularization and optimization methods for micro pore structure analysis of shale based on neural networks".ACTA PETROLOGICA SINICA 34.2(2018):281-288. |
入库方式： OAI收割
来源：地质与地球物理研究所
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