AI Insight
This study presents a fully analytical virial framework for predicting thermodynamic properties of methane-carbon dioxide (CH₄–CO₂) binary gas mixtures. The framework uses virial equations of state to calculate properties such as compressibility, density, and fugacity coefficients without requiring iterative numerical methods. The analytical approach provides accurate predictions across a range of temperatures, pressures, and mixture compositions relevant to industrial applications.
Why it matters
Accurate prediction of CH₄–CO₂ mixture properties is essential for carbon capture and storage technologies, natural gas processing, and enhanced oil recovery operations. This analytical framework offers faster computational performance compared to traditional numerical methods, enabling more efficient process design and optimization in these industries.
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