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Research Papers: Offshore Technology

Cost-Optimized FPSO Mooring Design Via Harmony Search

[+] Author and Article Information
Sam Ryu

SOFEC, Inc.,
14741 Yorktown Plaza Drive,
Houston, TX 77040
e-mail: sam.s.ryu@gmail.com

Arun S. Duggal

SOFEC, Inc.,
14741 Yorktown Plaza Drive,
Houston, TX 77040
e-mail: arun.duggal@sofec.com

Caspar N. Heyl

SOFEC, Inc.,
14741 Yorktown Plaza Drive,
Houston, TX 77040
e-mail: cnheyl@gmail.com

Zong Woo Geem

Environmental Planning and Management Program,
Johns Hopkins University,
11833 Skylark Road,
Clarksburg, MD 20871
e-mail: geem@jhu.edu

Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received April 29, 2014; final manuscript received July 27, 2016; published online September 16, 2016. Editor: Solomon Yim.

J. Offshore Mech. Arct. Eng 138(6), 061303 (Sep 16, 2016) (6 pages) Paper No: OMAE-14-1050; doi: 10.1115/1.4034374 History: Received April 29, 2014; Revised July 27, 2016

A mooring system optimization program has been developed to minimize the cost of offshore mooring systems. This paper describes an application of the optimization program constructed based on the recently developed harmony search (HS) optimization algorithm to offshore mooring design which requires significant number of design cycles. The objective of the anchor leg system design is to minimize the mooring cost with feasible solutions that satisfy all the design constraints. The HS algorithm is adopted from a jazz improvisation process to find solutions with the optimal cost. This mooring optimization model was integrated with a frequency-domain global motion analysis program to assess both cost and design constraints of the mooring system. As a case study, a single-point mooring system design of floating production storage and offloading (FPSO) in deepwater was considered. It was found that optimized design parameters obtained by the HS model were feasible solutions with the optimized cost. The results show that the HS-based mooring optimization model can be used to find feasible mooring systems of offshore platforms with the optimal cost.

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References

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Figures

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Fig. 1

Flowchart of HS algorithm for designing a cost-optimal mooring system

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Fig. 2

Sign conventions utilized for the analysis of the motions and loads

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Fig. 3

Maximum top chain length in harmony memory

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Fig. 4

Maximum wire length in harmony memory

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Fig. 5

Maximum bottom chain length in harmony memory

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Fig. 6

Maximum diameters (top chain, wire, and bottom chain) in harmony memory

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Fig. 7

Max, min, and mean costs in harmony memory

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Fig. 8

Mooring configuration of one of the initial HM solutions

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Fig. 9

Mooring configuration of one of the final HM solutions

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