Improving extreme wind speed prediction for North Sea offshore oil and gas fields |
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| Institution: | 1. Jiangsu University of Science and Technology, Zhenjiang, China;2. Norwegian University of science and technology, Norway;3. EPAM Systems Inc., Ukraine;4. Florida Institute of Technology, Melbourne, USA;1. Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, No 8 Dahuisi Road, Haidian District, Beijing, China;2. Second Institute of Oceanography, MNR, No 36 Baochubei Road, Hangzhou, 310012, China;3. Key Laboratory of Habor, Coastal and Offshore Engineering, Beibu Gulf University, No 12 Binhai Avenue, Binhai New Town, Qinzhou, 535011, China;1. Department of Marine Environment and Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan;2. Department of Marine Environmental Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 81157, Taiwan;1. Australian Maritime College, University of Tasmania, Launceston, Tasmania, 7250, Australia;2. School of Marine Science and Ocean Engineering, Harbin Institute of Technology, Weihai, Shandong, 264209, China;1. Oceans Graduate School, Faculty of Engineering and Mathematical Sciences, University of Western Australia, M053, Perth WA, 6009, Australia;2. Woodside Energy Ltd., Perth, WA 6000, Australia;1. Department of Naval Architecture, Dalian University of Technology, Dalian 116023, PR China;2. State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116023, PR China |
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| Abstract: | The paper adresses accuracy improving of statistical prediction, extracted from a shorter stochastic process, using the information provided by another synchronous highly correlated stochastic process that has been measured for a longer time. As an example, the specific issue of improving extreme wind speed prediction has been addressed. For this purpose, an efficient transfer of information is necessary between two synchronous, highly correlated stochastic processes. To illustrate the efficiency of the proposed technique, two time series of measured wind speed data from North sea oil and gas fields were used. |
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| Keywords: | Extreme wind speeds Bivariate statistics Bivariate copula North Sea offshore oil and gas fields |
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