Sequestration of CO₂ in Geological Media: A Case Study of the Saline Reservoir Using Parallel Computing for Multi-Well Injection

Abstract:

Carbon-Dioxide Capture and Storage (CCS) in deep saline aquifers is one of the most feasible techniques for reducing anthropogenic emission of carbon dioxide (CO2). In this paper, a high-performance parallel computing is used to simulate the large-scale and long-term CO2 geologic storage in the saline aquifer (Sleipner Vest field in the Norwegian) based on the ECO2N module of the flow/transport simulator TOUGH2-MP, which is the parallel version of TOUGH2 implemented by the MPI. We have developed a complex three-dimensional heterogeneous model to study the spatial and temporal distribution and storage of CO2 injection into the sands of the Utsira formation, at the Sleipner Vest field in the Norway. Simulation results demonstrate that the high-speed parallel computing enhanced the capability on handling the large-scale model and the long-term studies. Furthermore, in order to avoid the problems of overpressure in the saline reservoir, the case study employs multi-well (ten-well) injection model, which has been proven to be able to reduce the reservoir pressure effectively when compared to the single-well injection model.

• Periodical: Applied Mechanics and Materials (Volumes 284-287)
• Pages: 1468-1472
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.284-287.1468
• Online since: January 2013
• Authors: Chien Hao Tseng, Chia Chen Kuo, Wei Chih Su, Chuan Lin Lai
• Keywords: Carbon Dioxide Storage, Carbon-Dioxide Capture, Parallel Computing, Saline Aquifer, TOUGH2-MP

References

[1] T. A. Torp and J. Gale: Demonstrating Storage of CO2 in Geological Reservoirs: The Sleipner and SACS Projects, Energy, Vol. 29 (2004), pp.1361-1369.

DOI: 10.1016/j.energy.2004.03.104

[2] K. Zhang, Y. S. Wu and G. S. Bodvarsson: Parallel computing simulation of fluid flow in the unsaturated zone of Yucca Mountain, Nevada, Journal of Contaminant Hydrology, Vol. 62-63 (2003), pp.381-399.

DOI: 10.1016/s0169-7722(02)00159-6

[3] C. H. Tseng, C. L. Lai, C. C. Kuo, K. Zhang, C. Y. Shen and H. Y. Chang: Parallel Computing for CO2 Geologic Sequestration. Proceedings of the 22nd International Conference on Parallel Computational Fluid Dynamics, Kaohsiung, Taiwan (2010).

[4] K. Pruess, in: ECO2N: a TOUGH2 fluid property module for mixtures of water, NaCl, and CO2, Report LBNL-57952, Lawrence Berkeley National Laboratory, Berkeley, California (2003).

DOI: 10.2172/877331

[5] K. Zhang, Y. S. Wu and K. Pruess, in: User's Guide for TOUGH2-MP -. A Massively Parallel Version of the TOUGH2 Code. Report LBNL-315E, Lawrence Berkeley National Laboratory, Berkeley, California (2008).

DOI: 10.2172/929425

[6] R. S. Tuminaro, M. Heroux, S. A. Hutchinson and J. N. Shadid, in: Official Aztec User's Guide, Version 2. 1, Technical Report, Massively Parallel Computing Research Laboratory. Sandia National Laboratories, Albuquerque, NM (1999).

DOI: 10.2172/135550