Citation: | Ma Xin, Wen Dong-guang, Yang Guo-dong, Li Xu-feng, Diao Yu-jie, Dong Hai-hai, Cao Wei, Yin Shu-guo, Zhang Yan-mei. 2021. Potential assessment of CO2 geological storage based on injection scenario simulation: A case study in eastern Junggar Basin. Journal of Groundwater Science and Engineering, 9(4): 279-291. doi: 10.19637/j.cnki.2305-7068.2021.04.002 |
Carbon Capture and Storage (CCS) is one of the effective means to deal with global warming, and saline aquifer storage is considered to be the most promising storage method. Junggar Basin, located in the northern part of Xinjiang and with a large distribution area of saline aquifer, is an effective carbon storage site. Based on well logging data and 2D seismic data, a 3D heterogeneous geological model of the Cretaceous Donggou Formation reservoir near D7 well was constructed, and dynamic simulations under two scenarios of single-well injection and multi-well injection were carried out to explore the storage potential and CO2 storage mechanism of deep saline aquifer with real geological conditions in this study. The results show that within 100 km2 of the saline aquifer of Donggou Formation in the vicinity of D7 well, the theoretical static CO2 storage is 71.967 × 106 tons (P50)①, and the maximum dynamic CO2 storage is 145.295 × 106 tons (Case2). The heterogeneity of saline aquifer has a great influence on the spatial distribution of CO2 in the reservoir. The multi-well injection scenario is conducive to the efficient utilization of reservoir space and safer for storage. Based on the results from theoretical static calculation and the dynamic simulation, the effective coefficient of CO2 storage in deep saline aquifer in the eastern part of Xinjiang is recommended to be 4.9%. This study can be applied to the engineering practice of CO2 sequestration in the deep saline aquifer in Xinjiang.
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Location map of the study area and the distribution of the 2D seismic profile (Mi et al. 2018)
Stratigraphic histogram of Cretaceous Donggou Formation (Modified from Yang (2019))
Relative permeability model for numerical simulation
Spatial distribution of 2D seismic data and mesh data fitting of borehole
Geological models of the study area (the left is porosity model, and the right is permeability model) (Modified after Wen et al. 2019)
3D geological model and well location distribution (Case 1 on the left, Case 2 on the right)
Variation of CO2 in the reservoir over time (Case 1 on the left, Case 2 on the right)
The reservoir pressure and well bottom-hole pressures over time (Case1 on the left, Case2 on the right)
The 3D distribution of gaseous CO2 at 300 years (Case1 on the left and Case2 on the right)
The 3D distribution of gaseous CO2 at 300 years (Case1 on the left and Case2 on the right)
The distribution of CO2 in dissolved phase in 300 years (Case1 on the left and Case2 on the right)
The distribution of CO2 in dissolved phase at 300 years (3D) (Case1 on the left and Case2 on the right)
The distribution of residual trapping CO2 at 300 years (Case1 on the left and Case2 on the right)
Water density distribution in the reservoir at 300 years (Case1 on the left and Case2 on the right)
Pressure distribution in the reservoir at 300 years (Case 1 on the left side and Case 2 on the right)