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.
Skip Nav Destination
Article navigation
December 2016
Research-Article
Cost-Optimized FPSO Mooring Design Via Harmony Search
Zong Woo Geem
Zong Woo Geem
Environmental Planning and Management Program,
Johns Hopkins University,
11833 Skylark Road,
Clarksburg, MD 20871
e-mail: geem@jhu.edu
Johns Hopkins University,
11833 Skylark Road,
Clarksburg, MD 20871
e-mail: geem@jhu.edu
Search for other works by this author on:
Sam Ryu
Arun S. Duggal
Caspar N. Heyl
Zong Woo Geem
Environmental Planning and Management Program,
Johns Hopkins University,
11833 Skylark Road,
Clarksburg, MD 20871
e-mail: geem@jhu.edu
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. Dec 2016, 138(6): 061303 (6 pages)
Published Online: September 16, 2016
Article history
Received:
April 29, 2014
Revised:
July 27, 2016
Citation
Ryu, S., Duggal, A. S., Heyl, C. N., and Woo Geem, Z. (September 16, 2016). "Cost-Optimized FPSO Mooring Design Via Harmony Search." ASME. J. Offshore Mech. Arct. Eng. December 2016; 138(6): 061303. https://doi.org/10.1115/1.4034374
Download citation file:
Get Email Alerts
Cited By
Numerical Analysis of the Effect of Tunnel Hydrofoil—Stern Flap on the Motion Stability of a Double M-Craft in Regular Waves
J. Offshore Mech. Arct. Eng (August 2025)
On the Performance of a Data-Driven Backward Compatible Physics-Informed Neural Network for Prediction of Flow Past a Cylinder
J. Offshore Mech. Arct. Eng (August 2025)
Full-Scale Testing of Corrosion Resistant Alloy-Mechanically Lined Pipes for Submarine Pipelines
J. Offshore Mech. Arct. Eng
An Improved Direct Forcing Immersed Boundary Method With Integrated Mooring Algorithm for Floating Offshore Wind Turbines
J. Offshore Mech. Arct. Eng (August 2025)
Related Articles
Dynamic Asynchronous Coupled Analysis and Experimental Study for a Turret Moored FPSO in Random Seas
J. Offshore Mech. Arct. Eng (August,2015)
New Methodology for the Determination of the Vertical Center of Gravity of In-Service Semisubmersibles: Proposal and Numerical Assessment
J. Offshore Mech. Arct. Eng (August,2017)
New Methodology for the Determination of the Vertical Center of Gravity of In-service Semisubmersibles: Experimental Assessment
J. Offshore Mech. Arct. Eng (April,2017)
Truncation Design and Model Testing of a Deepwater FPSO Mooring System
J. Offshore Mech. Arct. Eng (April,2016)
Related Chapters
Life Extension of Mooring Chains - Including Effects of Mean Load and Corrosion Condition to Fatigue Capacity
Ageing and Life Extension of Offshore Facilities
Comparing Probabilistic Graphical Model Based and Gaussian Process Based Selections for Predicting the Temporal Observations
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
Lifetime Extension of Mooring Anchors
Ageing and Life Extension of Offshore Facilities