Estimating wave spectra from the motions of dynamically positioned vessels: An assessment based on model tests. (April 2022)

• Record Type: Journal Article
• Authors: Bisinotto, Gustavo A.; de Mello, Pedro C.; Queiroz Filho, Asdrubal N.; Ianagui, André S.S.; Simos, Alexandre N.; Tannuri, Eduardo A.
• Is Part Of: Applied ocean research. Volume 121(2022)
• Publication Date: 2022-04
• Subjects: Directional wave spectrum -- Bayesian estimation -- Platform supply vessel -- Dynamic positioning system -- Model tests; Ocean engineering -- Periodicals; 620.416205
• DOI: 10.1016/j.apor.2022.103108
• Languages: English
• ISSNs: 0141-1187

Abstract

Abstract: Alternatives for estimating the directional wave spectrum from the motions of a vessel have been evaluated over the past years considering different statistical approaches. This paper discusses the application of the motions of a dynamically positioned platform supply vessel to perform inferences by means of a Bayesian method. The method was formulated considering a methodology for hyperparameter calibration based on an optimization process, and the definition of an iterative estimation scheme. Small-scale seakeeping tests in irregular waves were carried out with the model of a platform supply vessel (PSV) equipped with a dynamic positioning (DP) system, which was calibrated to be consistent with a typical real system. For evaluating any possible influence the DP responses might have had on the motion-based wave estimations, the same test conditions were also performed with the model moored by means of an equivalent soft-mooring configuration. Estimation results were obtained from the motions measured in the experiments, showing that wave parameters could be computed with good precision in both arrangements, with overall average errors, in moored and DP configurations, respectively, of: 5.54% and 5.47% for significant height, 0.76% and 0.75% for peak period, and 1.25° and 1.46° for direction. A further analysis with the comparison of the estimated wave spectra attested the correspondence with the expected values and the similarities between the estimations obtained in the two different scenarios.