中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Visualized Experiments on Residual Oil Classification and Its Influencing Factors in Waterflooding Using Micro-Computed Tomography

文献类型:期刊论文

作者Song, Rui2,3; Peng, Jiajun2; Sun, Shuyu3; Wang, Yao2; Cui, Mengmeng1; Liu, Jianjun4
刊名JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
出版日期2020-08-01
卷号142期号:8页码:15
关键词micro-computed tomography residual oil pattern pore-scale wettability capillary pressure oil gas reservoirs petroleum engineering
ISSN号0195-0738
DOI10.1115/1.4045926
英文摘要Pore-scale mechanism of the waterflooding process contributes to enhanced oil recovery, which has been widely emphasized in the petroleum industry. In this paper, pore-scale waterflooding experiments are carried out on mixed-wetted natural sandstone and 3D printed sandstone using micro-computed tomography (mu-CT). The high-resolution images of oil/water distribution in different stages of waterflooding cycles are acquired. The classification of residual oil after waterflooding is conducted using the shape factor and Euler number, which represents the shape and spatial connectivity, respectively. The in situ contact angles are measured on the segmented images and the pore-scale wettability of these two samples is analyzed. Then, the effects of pore structure, micro-fracture and wettability on the distribution of the patterns of residual oil are analyzed. The results indicate that the types of isolated, cluster, network, and film (only for natural sample) are the main forms of residual oil patterns after the waterflooding process. The negative correlation between the shape factor and the Euler number of the typical oil blocks are presented. The effect of wettability and pore geometry on the morphology of the oil/water interface is quantitatively studied. The capillary pressure is the key factor for the formation of the residual oil blocks, the morphology of which is controlled by both wettability and pore geometry.
资助项目National Natural Science Foundation of China[51909225] ; National Natural Science Foundation of China[51874262] ; National Science and Technology Major Project of China[2017ZX05013001-002] ; Open Research Fund of State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences[Z017009] ; King Abdullah University of Science and Technology (KAUST)[BAS/1/1351-1301] ; China Scholarship Council
WOS研究方向Energy & Fuels
语种英语
WOS记录号WOS:000549875200009
出版者ASME
源URL[http://119.78.100.198/handle/2S6PX9GI/24537]  
专题中科院武汉岩土力学所
通讯作者Peng, Jiajun; Sun, Shuyu
作者单位1.Southwest Petr Univ, Xindu Rd 8, Chengdu 610500, Sichuan, Peoples R China
2.Southwest Petr Univ, Sch Geosci & Technol, Xindu Rd 8, Chengdu 610500, Sichuan, Peoples R China
3.King Abdullah Univ Sci & Technol KAUST, Computat Transport Phenomena Lab CTPL, Thuwal 239556900, Saudi Arabia
4.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
推荐引用方式
GB/T 7714
Song, Rui,Peng, Jiajun,Sun, Shuyu,et al. Visualized Experiments on Residual Oil Classification and Its Influencing Factors in Waterflooding Using Micro-Computed Tomography[J]. JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME,2020,142(8):15.
APA Song, Rui,Peng, Jiajun,Sun, Shuyu,Wang, Yao,Cui, Mengmeng,&Liu, Jianjun.(2020).Visualized Experiments on Residual Oil Classification and Its Influencing Factors in Waterflooding Using Micro-Computed Tomography.JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME,142(8),15.
MLA Song, Rui,et al."Visualized Experiments on Residual Oil Classification and Its Influencing Factors in Waterflooding Using Micro-Computed Tomography".JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME 142.8(2020):15.

入库方式: OAI收割

来源:武汉岩土力学研究所

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。