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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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