Molecular dynamics study on the diffusion and dissolution of heavy oil in supercritical CO2 under high-temperature and high-pressure conditions
CO 2 -assisted steam thermal recovery is an efficient CO 2 -enhanced oil recovery (CO 2 -EOR) technique, increases heavy oil production while storing CO 2 . To elucidate heavy oil and supercritical CO 2 interactions under high-temperature and high-pressure conditions, PVT experiments were conducted, and molecular dynamics (MD) simulations were used to examine the effects of temperature and pressure on diffusion and dissolution in CO 2 . The analysis considered oil and gas density distributions, interaction energies between SARA fractions and CO 2 , radial distribution functions (RDFs), and diffusion coefficients obtained from mean square displacement (MSD). The results show that increasing temperature reduces the dissolved gas–oil ratio but enhances the viscosity reduction rate and volume coefficient. Light components such as saturates and aromatics interact most strongly with CO 2 and dissolve fastest, whereas heavy components such as resins and asphaltenes have lower interaction energies and dissolve more slowly because of strong π–π association. The interaction energy between CO 2 and light components is 2–4 times stronger than that with heavy components in the temperature range 373–523 K and pressure range 5–20 MPa. The CO 2 –SARA interaction energy decreases by about 30%–40% with increasing temperature, but increases by about 50%–60% with increasing pressure. The diffusion rate of SARA molecules is fastest at 523 K and 20 MPa, with diffusion coefficients of 34.8 × 10 −9 , 20.4 × 10 −9 , 6.2 × 10 −9 , and 4.7 × 10 −9 m 2 /s, respectively. Overall, an injection temperature close to 250 °C combined with pressures exceeding 10 MPa provides optimal conditions for CO 2 diffusion and dissolution, thereby facilitating the extraction of light fractions and maximizing viscosity reduction, thermal recovery performance.
Authors
- Kexin Du (ORCID: https://orcid.org/0009-0006-8374-0427)
- Fa-Kun Li
- Jier Zhao
- Yu Zhang
- Song-Yan Li
Institutions
- China University of Petroleum, East China (CN)
Publication Details
- Journal
- Petroleum Science
- Published
- 2026-03-01
- DOI
- https://doi.org/10.1016/j.petsci.2026.03.056
- Primary Topic
- Enhanced Oil Recovery Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00