DOAJ Open Access 2025

Computational Modeling and Experimental Investigation of CO<sub>2</sub>-Hydrocarbon System Within Cross-Scale Porous Media

Feiyu Chen Linghui Sun Bowen Li Xiuxiu Pan Boyu Jiang +3 lainnya

Abstrak

CO<sub>2</sub> flooding plays a crucial role in enhancing oil recovery and achieving carbon reduction targets, particularly in unconventional reservoirs with complex pore structures. The phase behavior of CO<sub>2</sub> and hydrocarbons at different scales significantly affects oil recovery efficiency, yet its underlying mechanisms remain insufficiently understood. This study improves existing thermodynamic models by introducing Helmholtz free energy as a convergence criterion and incorporating adsorption effects in micro- and nano-scale pores. This study refines existing thermodynamic models by incorporating Helmholtz free energy as a convergence criterion, offering a more accurate representation of confined phase behavior. Unlike conventional Gibbs free energy-based models, this approach effectively accounts for confinement-induced deviations in phase equilibrium, ensuring improved predictive accuracy for nanoscale reservoirs. Additionally, adsorption effects in micro- and nano-scale pores are explicitly integrated to enhance model reliability. A multi-scale thermodynamic model for CO<sub>2</sub>-hydrocarbon systems is developed and validated through physical simulations. Key findings indicate that as the scale decreases from bulk to 10 nm, the bubble point pressure shows a deviation of 5% to 23%, while the density of confined fluids increases by approximately 2%. The results also reveal that smaller pores restrict gas expansion, leading to an enhanced CO<sub>2</sub> solubility effect and stronger phase mixing behavior. Through phase diagram analysis, density expansion, multi-stage contact, and differential separation simulations, we further clarify how confinement influences CO<sub>2</sub> injection efficiency. These findings provide new insights into phase behavior changes in confined porous media, improving the accuracy of CO<sub>2</sub> flooding predictions. The proposed model offers a more precise framework for evaluating phase transitions in unconventional reservoirs, aiding in the optimization of CO<sub>2</sub>-based enhanced oil recovery strategies.

Topik & Kata Kunci

Penulis (8)

F

Feiyu Chen

L

Linghui Sun

B

Bowen Li

X

Xiuxiu Pan

B

Boyu Jiang

X

Xu Huo

Z

Zhirong Zhang

C

Chun Feng

Format Sitasi

Chen, F., Sun, L., Li, B., Pan, X., Jiang, B., Huo, X. et al. (2025). Computational Modeling and Experimental Investigation of CO<sub>2</sub>-Hydrocarbon System Within Cross-Scale Porous Media. https://doi.org/10.3390/molecules30020277

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Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.3390/molecules30020277
Akses
Open Access ✓