대한조선학회논문집 (Journal of the Society of Naval Architects of Korea)

  • 제50권6호
  • /
  • Pages.373-382
  • /
  • 2013
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  • 1225-1143(pISSN)
  • /
  • 2287-7355(eISSN)
대한조선학회 (The Society of Naval Architects of Korea)
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A Study on the Simplified Model for the Weight Estimation of Floating Offshore Plant using the Statistical Method

  • 서성호 (울산대학교 대학원 조선및해양공학과) ;
  • 노명일 (서울대학교 조선해양공학과 및 해양시스템공학연구소) ;
  • 구남국 (서울대학교 공학연구소) ;
  • 신현경 (울산대학교 조선해양공학부)
  • Seo, Seong-Ho (Department of Naval Architecture and Ocean Engineering, Graduate School, University of Ulsan) ;
  • Roh, Myung-Il (Department of Naval Architecture and Ocean Engineering/Research Institute of Marine Systems Engineering, Seoul National University) ;
  • Ku, Nam-Kug (Engineering Research Institute, Seoul National University) ;
  • Shin, Hyun-Kyung (School of Naval Architecture and Ocean Engineering, University of Ulsan)
  • 투고 : 2013.06.06
  • 심사 : 2013.10.07
  • 발행 : 2013.12.20
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초록

The weight of floating offshore plant, such as an FPSO(Floating, Production, Storage, and Off-loading unit) and an offshore wind turbine, is important for estimating the amount of production material and for determining the production method. Furthermore, the weight is a factor which affects in the building cost and production time of the floating offshore plant. Although the importance of the weight has long been recognized, the weight has been roughly estimated by using the existing design and production data, and designer's experience. To solve this problem, a simplified model for the weight estimation of the floating offshore plant using the statistical method was proposed in this study. To do this, various data for estimating the weight of the floating offshore plant were collected through the literature survey, and then the correlation analysis and the multiple regression analysis were performed to generate the simplified model for the weight estimation. Finally, to examine the applicability of the developed model, it was applied to examples of the weight estimation of an FPSO topsides and an offshore wind turbine. As a result, it was shown that the developed model can be applied the weight estimation process of the floating offshore plant at the early design stage.

키워드

참고문헌

  1. Bluman, A.G., 2004. Elementary Statistics (A Step by Step Approach), McGraw-Hill: New York.
  2. Bolding, A., 2001. Bulk Factor method estimates FPSO: topsides weight. The Oil and Gas Journal, 99, pp.49-53
  3. Cho, Y.J., 2011. A Development of the Ship Weight Estimating Method by a Statistical Approach. Journal of the Society of Naval Architecture of Korea, 48(5), pp.426-434. https://doi.org/10.3744/SNAK.2011.48.5.426
  4. Cimino, D. & Tellet, D., 2007. Marine Vehicle Weight Engineering, Society of Allied Weight Engineers: Long Beach
  5. Hwang, J.K. Bang, G.J. Roh, M.I. & Lee, K.Y., 2009. Detailed Design and Construction of the Hull of an FPSO. Proceedings of the Nineteenth International Offshore and Polar Engineering Conference, Osaka, Japan, 21-26 June 2009, pp.151-158.
  6. IMA(International Maritime Association), 2013. Floating production systems [online] (2013.3.1) Available at: http://www.imastudies.com/id361.htm [2013.4.1]
  7. Jonkman, J. Butterfield, S. Musial, W. & Scott, G., 2009. Definition of a 5-MW Reference Wind Turbine for Offshore System Development. Technical Report, NREL/TP-500-38060.
  8. Kang, J.H., 2011. SPSS - Get the Best Out of Your Data. Crownbook: Seoul.
  9. Kang, J.S. Kang, H.K. Park, J.H. & Ha, T.B., 2012. Developing an Execution Strategy for FPSO. Journal of the Society of Naval Architecture of Korea, 49(3), pp.48-56.
  10. Lee, M.S., Ryu, J.C. & Kim, K.S., 2009, Development of the Linear Regression Analysis Model to Estimate the Shear Strength of Soils. The Journal of Engineering Geology, 19(2), pp.177-189.
  11. Seo, H.S. Yang, G.S. Kim, N.Y. Kim, H.Y. & Kim, M.G., 2009. SPSS(PASW) Regression Analysis. 3rd Ed. Hannarae Publishing: Seoul.
  12. Sung, D.Y. Lim, H.J. Lee, D.W. Kim, B.J. and Park, Y.G., 2010. The prediction equation for bending stress of rail in concrete track by the linear multiple regression analysis. Proceedings of the Annual Spring Meeting of the Korean Society for Railway, Changwon, Korea, 10-12 June 2010, pp.315- 323.
  13. Walpole, R.E. & Myers, R.H., 1985. Probability and Statistics for Engineers and Scientists, Macmillan Publishing: New York.

피인용 문헌

  1. A Preliminary Study on a Method for the Weight Estimation and Calculation of Offshore EPC Projects vol.53, pp.2, 2016, https://doi.org/10.3744/SNAK.2016.53.2.154
  2. A Study on Weight Estimation and Calculation of the Pipe Rack Structures for FPSO EPC Projects vol.53, pp.5, 2016, https://doi.org/10.3744/SNAK.2016.53.5.362