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

The Society of Naval Architects of Korea (대한조선학회)
권호 표지
DOI QR코드

DOI QR Code

Optimal Determination of Pipe Support Types in Flare System for Minimizing Support Cost

비용 최소화를 위한 플래어 시스템의 배관 서포트 타입 최적설계

  • Received : 2010.11.11
  • Accepted : 2011.06.16
  • Published : 2011.08.20
Download PDF
⟨ Previous Next ⟩

Abstract

Floating, production, storage and offloading (FPSO) is a production facility that refines and saves the drilled crude oil from a drilling facility in the ocean. The flare system in the FPSO is a major part of the pressure relieving system for hydrocarbon processing plants. The flare system consists of a number of pipes and complicated connection systems. Decision of pipe support types is important since the load on the support and the stress in the pipe are influenced by the pipe support type. In this study, we optimally determined the pipe support types that minimized the support cost while satisfying the design constraints on maximum support load, maximum nozzle load and maximum pipe stress ratio. Performance indices included in the design constraints for a specified design were evaluated by pipe structural analysis using CAESAR II. Since pipe support types were all discrete design variables, an evolutionary algorithm (EA) was used as an optimizer. We successfully obtained the optimal solution that reduced the support cost by 27.2% compared to the initial support cost while all the design requirements were satisfied.

Keywords

References

  1. Kim, M.H., 2006. Optimum Design of Piping Support Members in FPSO Topside Modules, a thesis for a master's degree, University of Ulsan.
  2. Roh, M.I. & Lee, K.Y., 2006. Generation of the Production Material Information of a Building Block and the Simulation of the Block Erection Based on the Initial Hull Structural Model, Journal of the Society of Naval Architects of Korea, 43(1), pp.103-118. https://doi.org/10.3744/SNAK.2006.43.1.103
  3. Roh, M.I. Choi, W.Y. & Lee, K. Y., 2006. Rapid Pipe Modeling Method Considering the Relationship with a Hull Structure, Journal of the Society of Naval Architects of Korea, 43(2), pp.258-267. https://doi.org/10.3744/SNAK.2006.43.2.258
  4. American Society of Mechanical Engineers, Process piping, ASME Code for Pressure Piping, B31.3.
  5. COMPANY general specification, GS EP PVV 107 Rev 03.
  6. Environmental Conditions and Environmental Loads, DNV-RP-C203.
  7. El-Mahdy, O.F.M. Ahmed, M.E.H. Metwalli, S., 2010. Computer aides optimization of natural gas pipe networks using genetic algorithm, Applied Soft Computing, 10, pp.1141-1150. https://doi.org/10.1016/j.asoc.2010.05.010
  8. Fatigue Design of Offshore Steel Structure, DNV CN 30.5.
  9. Ito, T., 1999. A Genetic Algorithm Approach Piping Route Path Planning, Journal of Intelligent Manufacturing, 10(1), pp.103-114. https://doi.org/10.1023/A:1008924832167
  10. Hashimoto, M., et al., 1998. Pipe support cross isolated and seismic structure in ITER, Fusion Engineering and Design, 41, pp.407-414. https://doi.org/10.1016/S0920-3796(98)00345-7
  11. PIAnO(Process Integration, Automation and Optimization), User's manual, Version 3.2, Framax Inc., 2010.
  12. PIPING STRESS DESIGN BASIS, Document Number: NG-USN-HT-935-434002, 2008.
  13. Satyarnarayan, L. Chandrasekaran, J. Maxfield, B. Balasubramaniam, K., 2008. Circumferential higher order guided wave modes for the detection and sizing of cracks and pinholes in pipe support regions, NDT & E International, 41, pp.32-43. https://doi.org/10.1016/j.ndteint.2007.07.004
  14. Thomas, B., 1996. Evolutionary Algorithms in Theory and Practice, Oxford University Press.