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Monitoring CO2 invasion processes at the pore scale using geological labs on chip
1CNRS, Univ. Bordeaux, ICMCB, Pessac, F-33600, France. samuel.marre@icmcb.cnrs.fr.
Lab on a Chip
|August 6, 2016
Summary
This study used geological labs on chip (GLoC) to observe CO2 injection into water-saturated rock pores under high pressure and temperature. Researchers identified invasion, percolation, and drying mechanisms, including two unexpected behaviors during CO2 displacement.
Area of Science:
- Geosciences
- Petroleum Engineering
- Chemical Engineering
Background:
- Understanding pore-scale mechanisms of CO2 injection is crucial for carbon capture, utilization, and storage (CCUS) and enhanced oil recovery (EOR).
- Previous studies often lack the resolution to observe real-time, pore-scale fluid dynamics under relevant geological conditions.
Purpose of the Study:
- To investigate pore-scale mechanisms during CO2 injection into water-saturated porous media.
- To analyze the influence of pressure, temperature, injection rates, and pore network characteristics on CO2 displacement.
- To identify and characterize conventional and counterintuitive CO2-fluid interaction mechanisms.
Main Methods:
- Utilized high-pressure micromodels, termed geological labs on chip (GLoC), simulating reservoir conditions (25-75°C, 4.5-8 MPa).
- Conducted a series of CO2 displacement experiments varying key parameters.
- Employed on-chip optical characterization and imaging for real-time monitoring and data acquisition.
Main Results:
- Determined CO2 saturation curves as a function of time and injected pore volumes.
- Observed three primary displacement mechanisms: invasion, percolation, and drying.
- Documented two counterintuitive phenomena during the invasion and drying stages of CO2 injection.
Conclusions:
- GLoC experiments provide critical insights into pore-scale CO2-water interactions under simulated geological conditions.
- The identified mechanisms, including novel observations, enhance the understanding of CO2 behavior in subsurface environments.
- Findings contribute to improved modeling and prediction of CO2 storage and EOR processes.

