Numerical Simulation and Optimization of Sleipner Carbon Sequestration Project
-
2013-12-03 https://doi.org/10.14419/ijet.v3i1.1439
-
Abstract
The capability of accurate numerical simulation and optimization is greatly desired as the technology of geological carbon sequestration (GCS) advances. It can provide quick information for preliminary design of a GCS project. The simulation and optimization results can provide better understanding of the nature of GCS and the uncertainties associated with it and therefore can provide guidelines and the development of best practices for its deployment. In this paper, first the satisfactory history-matching of the Sleipner GCS project is achieved by using the TOUGH2 simulation package. Next, the reservoir engineering technique known as water-alternating-gas (WAG) is applied to the model of the Utsira formation and optimization studies are conducted to determine the optimal WAG operation using the recently developed simulation/optimization code GA-TOUGH2. Results of WAG optimization suggest that in situ CO2 footprint reduction and dissolution acceleration can be achieved while minimizing the water usage.
-
References
- US Department of Energy.: 2010 carbon sequestration atlas of the United States and Canada, 3rd edition, (2010).
- H. Class, A. Ebigbo, R. Helmig, H.K. Dahle, J.M. Nordbotten, M.A. Celia, et al., A benchmark study on problems related to CO2 storage in geologic formations, Computational Geosciences 13(4) (2009) 409-434.
- M. Bickle, A. Chadwick, H.E. Huppert, M. Hallworth, S. Lyle, Modeling carbon dioxide accumulation at Sleipner: implications for underground carbon storage, Earth and Planetary Science Letters 255(1-2) (2007) 164–176.
- R.A. Chadwick, P. Zweigel, U. Gregersen, G.A. Kirby, S. Holloway, P.N. Johannessen, geological reservoir characterization of a CO2 storage site: the Utsira sand, Sleipner, northern North Sea, Energy 29 (2004) 9-10.
- K. Pruess, TOUGH2: A general numerical simulator for multiphase fluid and heat flow. Lawrence Berkeley Laboratory Report LBL-29400, Berkeley, California, (1991).
- K. Pruess, the TOUGH codes - a family of simulation tools for multiphase flow and transport processes in permeable media, Vadose Zone Journal 3 (2004) 738–746.
- K. Pruess, C. Oldenburg, G. Moridis, TOUGH2 User’s Guide, Version 2.0 (revised), Lawrence Berkeley Laboratory Report LBL-43134, Berkeley, California, (2011).
- Genetic algorithm, Wikipedia website, http://en.wikipedia.org/wiki/Genetic_algorithm, last access: July 8, 2013.
- D.E. Goldberg, Genetic algorithms in search, optimization & machine learning, Addison-Wesley, (1989).
- Z. Zhang, R.K. Agarwal, Numerical simulation and optimization of CO2 Sequestration in saline aquifers for vertical and horizontal well injection, Computational Geosciences 16 (4) (2012) 891-899.
- Z. Zhang, R.K. Agarwal, Numerical simulation and optimization of CO2 sequestration in saline aquifers for enhanced storage capacity and secured sequestration, International Journal of Energy and Environment 4 (3) (2013) 387-398.
- Z. Zhang, R.K. Agarwal, Numerical simulation and optimization of CO2 sequestration in saline aquifers, Computers & Fluids 80 (2013) 79-87.
- H. Tchelepi, L. Durlofsky, K. Aziz, A Numerical simulation framework for the design, management and optimization of CO2 sequestration in subsurface formations, Global Climate and Energy Project (GCEP) Report, Stanford, (2009).
- L. Orr, Carbon capture and sequestration: where do we stand, Presentation at NAE/AAES Convocation, Washington DC, and 19 April, 2010?
- S.L. Bryant, S. Lakshminarasimhan, G.A. Pope, Buoyancy-dominated multi-phase flow and its effect on geological sequestration of CO2, Society of Petroleum Engineer Journal 13 (4) (2008) 447-454.
- S. Taku Ide, K. Jessen, F.M. Orr, Storage of CO2 in saline aquifers: effects of gravity, viscous, and capillary forces on amount and timing of trapping, Intentional Journal of Greenhouse Gas Control 1 (4) (2007) 481–491.
- Y. Leonenko, D.W. Keith, Reservoir engineering to accelerate the dissolution of CO2 stored in aquifers, Environmental Science & Technology 42 (2008) 2742-2747.
- H. Hassanzadeh, M. Pooladi-Darvish, D.W. Keith, Accelerating CO2 Dissolution in saline aquifers for geological storage - mechanistic and sensitivity studies, Energy and Fuels 23 (2009) 3328-3336.
- R.A. Chadwick, D.J. Noy, History-matching flow simulations and time-lapse seismic data from the Sleipner CO2 plume, in: Proceedings of the 7th Petroleum Geology Conference 7 (2010) 1171–1182.
- R. Arts, O. Eiken, R.A. Chadwick, P. Zweigel, L. van der Meer, B. Zinszner, Monitoring of CO2 injected at Sleipner using time-lapse seismic data, Energy 29 (2004) 9-10.
- R. Arts, R.A. Chadwick, O. Eiken, S. Thibeau, S. Nooner, Ten years’ experience of monitoring CO2 injection in the Utsira sand at Sleipner, offshore Norway, First Break 26 (2008) 65-72.
- P. Audigane, I. Gaus, I. Czernichowski-Lauriol, K. Pruess, T. Xu, Two-dimensional reactive transport modeling of CO2 injection in a saline aquifer at the Sleipner site, American Journal of Science 307 (2007) 974-1008.
- V. Singh, A. Cavanagh, H. Hansen, B. Nazarian, M. Iding, P. Ringrose, Reservoir modeling of CO2 plume behavior calibrated against monitoring data from Sleipner, Norway, Society of Petroleum Engineer Annual Technical Conference and Exhibit, Florence, Italy, (2010).
- R.A. Chadwick, R, Arts, O. Eiken, G.A. Kirby, E. Lindberg, P. Zweigel, 4D seismic imaging of an injected CO2 plume at the Sleipner field, Central North Sea, Geological Society of London Memoirs 29 (2004) 311-320.
- C. Zhu, P. Lu, Personal Communication, Department of Geological Sciences, University of Indiana (2012).
- C. Zhu, CO2-water-rock interaction in geological carbon sequestration, seminar presentation at Washington University in St. Louis (2011).
- Z. Zhang, R.K. Agarwal, Numerical simulation of geological carbon sequestration in saline aquifers, three case studies, in: Proceedings of 12th Annual Conference on Carbon Capture Utilization & Sequestration, Pittsburgh, US (2013).
-
Downloads
-
How to Cite
Zhang, Z., & Agarwal, R. K. (2013). Numerical Simulation and Optimization of Sleipner Carbon Sequestration Project. International Journal of Engineering & Technology, 3(1), 1-13. https://doi.org/10.14419/ijet.v3i1.1439Received date: 2013-10-22
Accepted date: 2013-11-24
Published date: 2013-12-03