2022
DOI: 10.1039/d1lc01115d
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Wettability effect on oil recovery using rock-structured microfluidics

Abstract: Surface wettability has a crucial impact on drop splashing, emulsion dynamics, slip flow for drag reduction, fluid-fluid displacement, and various microfluidic applications. Targeting enhanced oil recovery (EOR) applications, we experimentally...

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Cited by 6 publications
(3 citation statements)
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References 72 publications
(148 reference statements)
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“…2020; Yang et al. 2022). Today, we have a fairly good understanding of how the interplay between , and impacts fluid–fluid displacement in porous media with spatially uniform wettability (Primkulov et al.…”
Section: Introductionmentioning
confidence: 99%
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“…2020; Yang et al. 2022). Today, we have a fairly good understanding of how the interplay between , and impacts fluid–fluid displacement in porous media with spatially uniform wettability (Primkulov et al.…”
Section: Introductionmentioning
confidence: 99%
“…imbibition), the fluid-fluid displacement pattern is generally more compact than the opposite case (i.e. drainage) (Holtzman & Segre 2015;Zhao et al 2016;Primkulov et al 2018;Lan et al 2020;Yang et al 2022). Today, we have a fairly good understanding of how the interplay between Ca, M and θ impacts fluid-fluid displacement in porous media with spatially uniform wettability (Primkulov et al 2021).…”
Section: Introductionmentioning
confidence: 99%
“…The displacement experiment is an effective method for exploring both flow patterns and the efficiency of utilization by employing microfluidic models, real sandstone models, ,,, and technologies such as nuclear magnetic resonance, laser confocal techniques, and CT scanning technology. CT scanning technology has emerged as a significant method used in various fields, including but not limited to enhanced oil recovery (EOR), carbon dioxide storage, , environmental remediation, , and reservoir modeling at the pore scale. The nondestructive and high-accuracy evaluation offered by CT scanning technology places it at the forefront of the choices for the study of the flow pattern and distribution of residual oil. For example, Zhang et al utilized in situ CT scanning and QEMSCAN to acquire multicomponent 3D digital models and investigate the impact of wetting on microscale residual oil.…”
Section: Introductionmentioning
confidence: 99%