TY  - EJOU
AU  - Tseng, Chien-Hao  
AU  - Kuo, Chia-Chen  
AU  - Su, Wei-Chih  
AU  - Kuo, Fang-An  
AU  - Zhang, Keni 
AU  - Lai, Chuan-Lin  

TI  - Application of a Multiple Well-Injection Approach for CO2 Sequestration in a Saline Reservoir
T2  - The International Conference on Computational \& Experimental Engineering and Sciences

PY  - 2011
VL  - 17
IS  - 1
SN  - 1933-2815

AB  - The high-performance parallel computing scheme has already been increasingly recognized as an attractive alternative method to resolve the large-scale problems of CO2 sequestration. This paper therefore conducts a parallel computation for simulating multiple well-injection scenarios and long-term CO2 geologic sequestration in a saline aquifer (Figure 1a) based on the ECO2N module of the TOUGH2-MP that is the parallel version of TOUGH2 implemented by the MPI. The numerical performance of TOUGH2-MP is developed on an IBM Cluster 1350 which is composed of 404 nodes and 2 Intel Woodcrest 3.0 Ghz Dual-Core processors per node. Our results indicate that the high-speed parallel computing scheme enhances the modeling capability and shows the significant speedup for these large-scale modeling studies. Besides, this paper presents the ten well-injection approach that the procedure has been applied to build the 3D site-scale case and to explore the physical phenomenon (Figure 1b) in contrast to the single well injection approach. Simulation results further show that the multiple well-injection approach reduces the reservoir pressure effectively.
KW  - 

DO  - 10.3970/icces.2011.017.023