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Updated: Mar 22, 2026

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Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
Published on: January 16, 2018
11.3K
Microfluidics: an enabling screening technology for enhanced oil recovery (EOR)
1Evonik Corporation, 2 Turner Place, Piscataway, NJ 08854, USA. victor.lifton@evonik.com.
Lab on a Chip
|April 19, 2016
Summary
Microfluidics offers advanced tools for studying oil extraction and recovery processes. This technology enhances understanding and control of critical micro-scale phenomena in the oil and gas industry.
Area of Science:
- Petroleum Engineering
- Chemical Engineering
- Fluid Dynamics
Background:
- Oil production efficiency and environmental impact are critical global concerns.
- Macro-scale oil extraction processes are governed by micro-scale fluid dynamics and interfacial phenomena.
Purpose of the Study:
- To review the application of microfluidics and microtechnology in oil extraction and recovery.
- To highlight the potential of microfluidic devices for investigating and visualizing oil & gas processes.
- To propose future research directions for microfluidics in enhanced oil recovery.
Main Methods:
- Review of recent literature on microfluidics in the oil and gas industry.
- Analysis of microfluidic applications in fluid propagation, flooding, fracturing, and emulsification.
- Discussion of additive manufacturing (3D printing) for microfluidic device prototyping.
Main Results:
- Microfluidic devices are effective tools for studying oil & gas processes like fluid propagation and emulsification.
- Microfluidics provides insights into micro-scale phenomena controlling macro-scale oil recovery.
- Microfluidics is emerging as a valuable methodology in petroleum research.
Conclusions:
- Microfluidics can significantly improve the understanding and control of oil recovery processes.
- Further research in microfluidic applications like droplet generation and wettability control is recommended.
- Additive manufacturing can facilitate the development of microfluidic models for oil reservoir simulation.

