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Santos Basin Wind Patterns for Planning Offshore Pre-Salt Activities
COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- 1 COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- 2 COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- 3 COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
Journal of Environmental Protection·Volume 06 (2015)·Pages 1134–1138·Published 9 October 2015·DOI10.4236/jep.2015.610100
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Abstract
Santos Basin contains the major hub of oil and gas exploration in Brazil. Consequently, knowledge of ocean surface winds in this area is very important for operational and planning activities. In addition, the importance of renewable energies is nowadays unquestionable, specifically in the case of the wind energy. In this paper, a data clustering technique is applied in order to obtain representative local wind patterns in Santos Basin. Reanalysis data from the National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR) have been used in this study.
KeywordsWindCluster AnalysesSantos BasinPre-Salt Oil and Gas ExplorationRenewable Energy Systems
- Formigli, J. (2007) Pre-Salt Reservoirs Offshore Brazil: Perspectives and Challenges. Bank of America Energy Conference. http://www.investidorpetrobras.com.br/download/1462
- Hardy, D.M. and Walton, J.J. (1978) Principal Components Analysis of Vector Wind Measurements. Journal of Applied Meteorology, 34, 49-67. http://dx.doi.org/10.1175/1520-0450(1978)017 2.0.co;2
- Green, M.C., Myrup, L.O. and Flocchini, R.G. (1992) A Method for Classification of Wind Field Patterns and Its Application to Southern California. International Journal of Climatology, 12, 111-135. http://dx.doi.org/10.1002/joc.3370120202
- Kaufmann, P. and Weber, R.O. (1996) Classification of Mesoscale Wind Fields in the MISTRAL Field Experiment. Journal of Applied Meteorology, 35, 1963-1979. http://dx.doi.org/10.1175/1520-0450(1996)035 2.0.CO;2
- Gómez-Muoz, V.M. and Porta-Gándara, M.A. (2002) Local Wind Patterns for Modeling Renewable Energy Systems by Means of Cluster Analysis Techniques. Renewable Energy, 25, 171-182. http://dx.doi.org/10.1016/S0960-1481(01)00013-1
- Kalnay, E., et al. (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society, 77, 437-471.
- Kistler, R., et al. (2001) The NCEP/NCAR 50 Year Reanalysis: Monthly Means cd-ROM and Documentation. Bulletin American Meteorological Society, 82, 247-267. http://dx.doi.org/10.1175/1520-0477(2001)082 2.3.CO;2
- Han, J. and Kamber, M. (2000) Data Mining Concepts and Techniques. Morgan Kaufmann, San Francisco.
- Machado Filho, O., Evsukoff, A. and Ebecken, N. (2003) Starcluster: A Visualization, Clustering and Classification Tool. Proceedings of Fourth International Conference on Data Mining, 205-214.