
Abstract CO 2 enhanced shale gas recovery (CO 2 -ESGR) is a promising technology for addressing the global energy and environmental concerns by promoting the shale gas production and simultaneously reducing the CO 2 emissions. To provide a greater understanding of the environmental benefits of CO 2 -ESGR, a three-dimensional numerical model corresponding to the typical shale reservoir parameters for the Ordos basin in China is established. Results show that the shale gas production can be enhanced by 6.74% at a constant CO 2 injection rate of 0.03 kg/s for 50 years, while 9.467 × 10 7 kg CO 2 can be stably stored. By analyzing the impact of CO 2 injection rate and well distance, it is found that the shale gas recovery has non-monotonous variation with CO 2 injection rate and decreases with increase in the well distance before the occurrence of CO 2 -breakthrough. An optimization framework is also proposed to optimize the shale gas production as well as the CO 2 storage for different well distances for the constant rate injection (CRI) mode and the constant pressure injection (CPI) mode. When CO 2 -breakthorugh is the only constraint on the CRI mode, larger well distance is better and the optimal injection rate at well distance of 390 m is 0.0609 kg/s with a total CH 4 production of 4.252 × 10 6 kg and CO 2 storage of 96.08 × 10 6 kg. When adding the constraint on injection pressure, the optimal scenario restricts the CO 2 injection rate at 0.031796 kg/s and the well distance at 360 m. On the other hand, with the same maximum injection pressure constraint, CPI mode shows superior performance compared to the CRI mode both in CO 2 storage and shale gas production. The results in this paper could serve as a reference for the selection of optimal operation parameters and strategies for industrial scale development of CO 2 -ESGR technology.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 38 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
