Abstract
The present status of self-elevating drilling units was analysed. Based on statistics of the main dimensions of self-elevating drilling units, a mathematical model was established using stepwise return procedures and a back-propagation neural network. Analysis of examples of calculations showed that the mathematical model is applicable and reliable. The model is useful for mastering the essential variations of the main dimensions of self-elevating drilling units and can be used for technical and economic analysis as well as in conceptual designs of drilling units.
摘要
在搜集整理自升式钻井平台船型资料的基础上, 利用逐步回归计算机程序和 BP 神经网络分别建立了自升式钻井平台主尺度的单变量预测模型和多变量预测模型. 经实船验证该模型是适用和可靠的, 模型的建立有利于掌握自升式钻井平台主尺度要素变化规律, 在进行自升式钻井平台设计初期的技术经济论证和方案设计时, 可根据已知信息的多少, 选择合适的模型进行主尺度的预测.
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Foundation item: Supported by the National 863 Plan Foundation under Grant No.2003AA414060.
WANG Yun-long was born in 1978, and now he is a doctoral degree candidate at Dalian University of Technology. Research field: study on key technologies design of self-elevating drilling unit.
JI Zhuo-shang was born in 1938, and now he is a professor and PhD advisor at Dalian University of Technology. Research field: ship CAD/CAM.
LIN Yan was born in 1963, and now he is a professor and PhD advisor at Dalian University of Technology. Research field: shipform development, virtual ship design and digital technology and research of key technology for ocean platform overall design.
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Wang, Yl., Ji, Zs. & Lin, Y. Mathematically modeling the main dimensions of self-elevating drilling units. J. Marine. Sci. Appl. 8, 211–215 (2009). https://doi.org/10.1007/s11804-009-8045-9
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DOI: https://doi.org/10.1007/s11804-009-8045-9