Heterogeneous characteristic analysis of shale based on multi-component and multi-scale random media method
文献类型：期刊论文
| 作者 | Rao Ying1,3 ; Fu LiYun2; Wu Yu3; Boateng, Cyril D.2
|
| 刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
 |
| 出版日期 | 2020-07-01 |
| 卷号 | 63期号:7页码:2800-2809 |
| 关键词 | Longmaxi Formation shale Digital core Random media method Multi-component and multi-scale |
| ISSN号 | 0001-5733 |
| DOI | 10.6038/cjg2020N0062 |
| 英文摘要 | The microstructure such as mineral particles, pores or fractures and kerogen in shale reservoirs displays obvious scaled distribution characteristics. It is difficult to fully depict and reconstruct the micro-scale shale by conventional single-structure and single-scale random media simulation method. In this paper, we proposed a multi-component and multi-scale random media method. Based on the digital core of Longmaxi Formation shale, the slice is decomposed into four types: brittle minerals, pore, kerogen and background media according to the proportion of each type. Three microstructures, brittle minerals, pore and kerogen, are then decomposed according to scales. By optimizing the parameters of random media model, it is possible to accurately simulate the microstructures of different scales. Then we do the microstructure-scale double synthesis according to the proportion. The results show that the multi-component and multi-scale random media method greatly improves the modeling accuracy of strong heterogeneous shale reservoir media. |
| WOS关键词 | 2-D RANDOM-MEDIA ; WAVE-PROPAGATION ; INHOMOGENEITIES ; VELOCITY ; MODEL |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000550583600024 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/97566]  |
| 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 | Fu LiYun |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.China Univ Petr East China, Key Lab Deep Oil & Gas, Qingdao 266580, Shandong, Peoples R China 3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Rao Ying,Fu LiYun,Wu Yu,et al. Heterogeneous characteristic analysis of shale based on multi-component and multi-scale random media method[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2020,63(7):2800-2809. |
| APA | Rao Ying,Fu LiYun,Wu Yu,&Boateng, Cyril D..(2020).Heterogeneous characteristic analysis of shale based on multi-component and multi-scale random media method.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,63(7),2800-2809. |
| MLA | Rao Ying,et al."Heterogeneous characteristic analysis of shale based on multi-component and multi-scale random media method".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 63.7(2020):2800-2809. |
入库方式： OAI收割
来源：地质与地球物理研究所
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