Speaker
Description
The increasing rate of CO2 emissions into the atmosphere as a result of energy production and consumption raises global concerns for climate stability and human well-being. For this reason, actions to mitigate gas emissions have attracted the attention of global organizations and are becoming increasingly relevant in view of their potential positive impacts on the planet's climate. Among the techniques capable of reducing net carbon emissions related to human activities, Carbon Capture and Storage (CCS) involves capturing the CO2 resulting from the activity before it is released into the atmosphere and storing it in geological formations, typically saline aquifers, where it remains trapped for long periods.
In this work, we compare experimental results of CO2 injection with numerical predictions obtained from a Pore Network Model (PNM) representation of the experimental setup. The experiment considers a microfluidic device initially saturated with brine. During the injection process, high-pressure CO2 is introduced into the device, displacing its brine content. Invasion order, capillary trapping and relative permeability curves are analyzed and compared between experimental observations and PNM simulations.
The results demonstrate the capability of the PNM to accurately reproduce the key physical mechanisms governing two-phase flow during CO2 injection in microfluidic porous media. This agreement highlights the potential of pore-scale modeling as a reliable tool for interpreting experimental results and improving the understanding of CO2 sequestration processes relevant to CCS applications.
| Country | Brazil |
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