US 12,448,942 B2
Method for predicting a characteristic resulting from a swell on the basis of a spectral model of the swell
Paolino Tona, Rueil-Malmaison (FR); and Alexis Merigaud, Rueil-Malmaison (FR)
Assigned to IFP ENERGIES NOUVELLES, Rueil-Malmaison (FR)
Appl. No. 17/801,558
Filed by IFP Energies nouvelles, Rueil-Malmaison (FR)
PCT Filed Mar. 1, 2021, PCT No. PCT/EP2021/055029
§ 371(c)(1), (2) Date Aug. 23, 2022,
PCT Pub. No. WO2021/180502, PCT Pub. Date Sep. 16, 2021.
Claims priority of application No. 2002422 (FR), filed on Mar. 11, 2020.
Prior Publication US 2023/0167796 A1, Jun. 1, 2023
Int. Cl. F03B 3/14 (2006.01); F03B 13/14 (2006.01)
CPC F03B 13/14 (2013.01) [F05B 2240/95 (2013.01); F05B 2260/821 (2013.01); F05B 2260/84 (2013.01); F05B 2270/404 (2013.01)] 25 Claims
OG exemplary drawing
 
1. A method for predicting a characteristic of an incident water swell on a floating system by using at least one sensor located on the floating system which measures variation in the incident swell or a characteristic resulting from the incident swell, and a transfer function expressing a relationship between the incident water swell and measurements provided by the at least one sensor, comprising:
a) measuring with the at least one sensor a parameter of the incident water swell in real time during a first time interval;
b) providing a spectral model of the incident water swell and updating the spectral model of the incident water swell in a second time interval subsequent to the first time interval which is longer than the first time interval by using at least one of meteorological data and at least one measurement from the at least one sensor;
c) constructing a water swell prediction model by using the transfer function and the updated spectral model of the water swell; and
d) predicting the characteristic of the incident water swell in real time for a future horizon by using the water swell prediction model applied to real-time measurements.