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    Visualized Experiments on Residual Oil Classification and Its Influencing Factors in Waterflooding Using Micro-Computed Tomography

    Source: Journal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 008
    Author:
    Song, Rui
    ,
    Peng, Jiajun
    ,
    Sun, Shuyu
    ,
    Wang, Yao
    ,
    Cui, Mengmeng
    ,
    Liu, Jianjun
    DOI: 10.1115/1.4045926
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: 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 (μ-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.
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      Visualized Experiments on Residual Oil Classification and Its Influencing Factors in Waterflooding Using Micro-Computed Tomography

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4273472
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    • Journal of Energy Resources Technology

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    contributor authorSong, Rui
    contributor authorPeng, Jiajun
    contributor authorSun, Shuyu
    contributor authorWang, Yao
    contributor authorCui, Mengmeng
    contributor authorLiu, Jianjun
    date accessioned2022-02-04T14:20:37Z
    date available2022-02-04T14:20:37Z
    date copyright2020/02/24/
    date issued2020
    identifier issn0195-0738
    identifier otherjert_142_8_083003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4273472
    description abstractPore-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 (μ-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.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleVisualized Experiments on Residual Oil Classification and Its Influencing Factors in Waterflooding Using Micro-Computed Tomography
    typeJournal Paper
    journal volume142
    journal issue8
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4045926
    page83003
    treeJournal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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