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Perspective | Open Access

Microfluidic experiments and numerical simulation methods of pore-scale multiphase flow

National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum, Beijing 102249, P. R. China
College of Petroleum Engineering, China University of Petroleum, Beijing 102249, P. R. China
National Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, P. R. China
School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, P. R. China
MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Institute of Geotechnical Engineering, Zhejiang University, Hangzhou 310058, P. R. China
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Abstract

Multiphase flow is a common scenario in industrial and environmental applications. Especially at microscopic scale, accurately describing flow processes is challenging due to fluid-fluid, fluid-solid, and solid-solid interactions. Pore-scale microfluidics and numerical simulation methods considering complex topology are increasingly being applied to study multiphase flow phenomena. This work focuses the recent applications of microfluidic experiments and new numerical simulations in complex flows for enhanced oil recovery. Two types of coupling algorithms are provided to integrate the advantages of pore network model and direct numerical simulation methods. For fines migration, the computational fluid dynamics-discrete element method is proposed to describe the coupling process between fluid and solid particles. Pore-scale microfluidic experiments and simulation methods deals with complex flow processes at micro/nano scales, providing effective solutions for complex industrial processes.

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Capillarity
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Cite this article:
Cai J, Zhao J, Zhong J, et al. Microfluidic experiments and numerical simulation methods of pore-scale multiphase flow. Capillarity, 2024, 12(1): 1-5. https://doi.org/10.46690/capi.2024.07.01

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Received: 21 February 2024
Revised: 02 March 2024
Accepted: 19 March 2024
Published: 22 March 2024
© The Author(s) 2024.

This article is distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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