Absorption of Carbon Dioxide in Kerogen Nanopores: A Mechanism Study using the Molecular Dynamics Monte Carlo Method
Jie Liu, Tao Zhang, Shuyu Sun

TL;DR
This study uses molecular dynamics and Monte Carlo simulations to investigate how CO2 is absorbed in kerogen nanopores within shale reservoirs, revealing effects of pore structure, temperature, and matrix compression on sequestration potential.
Contribution
It introduces a combined MD and MD-Monte Carlo approach to analyze CO2 absorption mechanisms in kerogen nanopores, highlighting the influence of pore heterogeneity and temperature on storage capacity.
Findings
Heterogeneous pore structures lead to uneven CO2 distribution.
Higher temperatures increase CO2 storage capacity.
Matrix compression reduces large pore availability.
Abstract
Carbon capture and storage (CCS) technology has been applied successfully in recent decades to reduce carbon emissions and alleviate global warming. In this regard, shale reservoirs present tremendous potential for carbon dioxide (CO2) sequestration as they have a large number of nanopores. Molecular dynamics (MD) and MD-Monte Carlo (MDMC) methods were employed in this work to study the absorption behavior of CO2 in shale organic porous media. The MDMC method is used to analyze the spatial states of CO2, and the results are in good agreement with MD results, and it also performs well in the acceleration compared to the classical MD. With regard to the kerogen matrix, its properties, such as the pore size distribution (PSD), pore volume, and surface area, are determined to describe its different compression states and the effects of CO2 absorption on it. The potential energy distribution…
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Taxonomy
TopicsHydrocarbon exploration and reservoir analysis · Phase Equilibria and Thermodynamics · Atmospheric and Environmental Gas Dynamics
