The marine environmental conditions of typhoon affected area in South China Sea (SCS) in China are complicated. The parameters of wind, wave and current speed of different return period are the basis of the selection of oilfield project and the important role of development cost evaluation. Based on the deduction method of API specification, the design criteria of the typhoon in SCS oil and gas regions with the two-layer nested model combined with typhoon numerical model is proposed in this paper. The statistical analysis of typhoon characteristics were presented, then wind speed of all the blocks in north part of SCS induced by typhoon with long return period was calculated. The prediction accuracy of the design parameters of long return period is improved by this model.
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ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering
June 17–22, 2018
Madrid, Spain
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-5127-2
PROCEEDINGS PAPER
The Application of Extreme Value Calculation Model Based on Deductive Method in South China Sea
Xie Botao,
Xie Botao
CNOOC Research Institute, Beijing, China
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Ren Xuhe,
Ren Xuhe
CNOOC Research Institute, Beijing, China
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Li Jiagang,
Li Jiagang
CNOOC Research Institute, Beijing, China
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Huang Bigui
Huang Bigui
CNOOC Research Institute, Beijing, China
Search for other works by this author on:
Xie Botao
CNOOC Research Institute, Beijing, China
Ren Xuhe
CNOOC Research Institute, Beijing, China
Li Jiagang
CNOOC Research Institute, Beijing, China
Huang Bigui
CNOOC Research Institute, Beijing, China
Paper No:
OMAE2018-78335, V07BT06A015; 8 pages
Published Online:
September 25, 2018
Citation
Botao, X, Xuhe, R, Jiagang, L, & Bigui, H. "The Application of Extreme Value Calculation Model Based on Deductive Method in South China Sea." Proceedings of the ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. Volume 7B: Ocean Engineering. Madrid, Spain. June 17–22, 2018. V07BT06A015. ASME. https://doi.org/10.1115/OMAE2018-78335
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