Determining CO2 diffusion coefficient in heavy oil in bulk phase and in porous media using experimental and mathematical modeling methods

Xiang Zhou, Qi Jiang, Qingwang Yuan, Liehui Zhang, Jianwei Feng, Bingchuan Chu, Fanhua Zeng, Guocai Zhu

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

In this research, experimental and mathematical modeling studies were implemented to determine the CO2 diffusion coefficients in bulk phase (nontransparent high-pressure cell) and in porous media (real reservoir core). Experimentally, pressure decay was investigated in bulk phase and in porous media using the same initial injection pressure (5000 kPa). In the bulk phase, a sealed high-pressure cell was used to test the CO2 diffusion coefficient, with the heavy oil and CO2 contacting each other without the appearance of porous media. At the end of the diffusion process, CO2 concentrations were measured in different sections of the CO2-dissolved heavy oil to determine the CO2 diffusion profile along the heavy oil column. In the porous media, a new experimental approach was generated to mimic the CO2 diffusion process in real reservoir conditions. A half-saturated core using heavy oil was located in the core holder, and then CO2 was introduced into the core, with the gas–liquid phase interface in the middle of the core. Pressures were monitored in the two experiments and were compared after a 200-hour diffusion process. A mathematical model was developed to determine the CO2 diffusion coefficients and predict the time at which the diffusion process would reach the equilibrium condition in both experiments. Where the non-equilibrium boundary condition was considered at the gas–liquid phase interface, the CO2 diffusion coefficients in the target heavy oil in the bulk phase and in porous media were measured as 5.778 × 10−9 and 3.222 × 10−9 m2/s, respectively. The tortuosity of the core was calculated using the measured CO2 diffusion coefficient as 1.79, and the CO2 concentrations at different test times were predicted.

Original languageEnglish
Article number116205
JournalFuel
Volume263
DOIs
StatePublished - Mar 1 2020

Keywords

  • Bulk phase
  • CO diffusion coefficient
  • Heavy oil
  • Mathematical modeling
  • Porous media

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