A multiscale reconstructing method for shale based on SEM image and experiment data | |
Ji LL(姬莉莉); Lin M(林缅); Cao GH(曹高辉); Jiang WB(江文滨) | |
发表期刊 | JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING |
2019-08-01 | |
卷号 | 179页码:586-599 |
ISSN | 0920-4105 |
摘要 | Owing to the presence of multiscale pore structures, characterization of laminated shales is both extremely difficult and substantially different from that of conventional reservoirs, and defies conventional methodologies. In this paper, a multiscale reconstructing method for shale is proposed to generate 3D layer representative elementary volume (lREV)-scale digital-experimental models to characterize the multiscale pore structure of the shale by means of the combination of a large area SEM image, nitrogen adsorption and pressure pulse decay experiment result. In this method an improved multiscale superposition algorithm is introduced to integrate the reconstructed complex models from nanoscale to mesoscale together, and it can preserve the details and main features enormously of each typical component (nanoscale organic pores in organic matter and pyrites, micro-nano inorganic pores and micro slits) in the shale. Especially, to accurately reproduce the realistic morphology for shale, the proposed method uses the experimental pore size distribution and permeability as constrain conditions to adjust and optimize the lREV-scale digital-experimental model. Our proposed method was tested on Longmaxi and Wufeng shale samples, and the reconstructed lREV-scale digital-experimental model are proved to accurately describe the representative structure of the complex multiscale pore space of the typical layer of the shale. The success of this method provides a promising way for reconstructing more realistic model to continuously and systematically characterize the pore (slits) structure from the nanopore-scale to the lREV-scale. It can advance the understanding of the various gas transport mechanisms at different scales and will be helpful for understanding the quality of the shale reservoir. |
关键词 | Multiscale pore structure Multiscale reconstructing method lREV Digital-experimental model Shale |
DOI | 10.1016/j.petrol.2019.04.067 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000470109500049 |
关键词[WOS] | PORE-SPACE RECONSTRUCTION ; STOCHASTIC CHARACTERIZATION ; PERMEABILITY ; SIMULATION ; ALGORITHM ; SAMPLE |
WOS研究方向 | Energy & Fuels ; Engineering |
WOS类目 | Energy & Fuels ; Engineering, Petroleum |
资助项目 | National Natural Science Foundation of China[41690132] ; National Natural Science Foundation of China[41872163] ; National Natural Science Foundation of China[41574129] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA14010304] ; Major National Science and Technology Special Program of China[2017ZX05037-001] |
项目资助者 | National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Major National Science and Technology Special Program of China |
论文分区 | 一类 |
力学所作者排名 | 1 |
RpAuthor | Lin, Mian |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://dspace.imech.ac.cn/handle/311007/79328 |
专题 | 流固耦合系统力学重点实验室 |
推荐引用方式 GB/T 7714 | Ji LL,Lin M,Cao GH,et al. A multiscale reconstructing method for shale based on SEM image and experiment data[J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,2019,179:586-599. |
APA | Ji LL,Lin M,Cao GH,&Jiang WB.(2019).A multiscale reconstructing method for shale based on SEM image and experiment data.JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,179,586-599. |
MLA | Ji LL,et al."A multiscale reconstructing method for shale based on SEM image and experiment data".JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 179(2019):586-599. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Jp2019234.pdf(5660KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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。
修改评论