Utilizing the Ensemble Kalman Filter and Ensemble Kalman Smoother for Combined State and Parameter Estimation of a Three-Dimensional Towed Underwater Cable Model-Reference-Cited by-同舟云学术

Utilizing the Ensemble Kalman Filter and Ensemble Kalman Smoother for Combined State and Parameter Estimation of a Three-Dimensional Towed Underwater Cable Model

Published:2017-08-08 Issue:6 Volume:139 Page:
ISSN:0892-7219
Container-title:Journal of Offshore Mechanics and Arctic Engineering
language:en
Short-container-title:

Author:

Vidar Grindheim Jan,Revhaug Inge¹,Pedersen Egil²

Affiliation:

1. Faculty of Science and Technology (IMT),Norwegian University of Life Sciences (NMBU),P. O. 5003,Ås NO-1432, Norway

2. Department of Engineering Science and Safety,The Arctic University of Norway (UiT),Hansine Hansens veg 18,Tromsø NO-9037, Norway

Abstract

Abstract A finite difference method (FDM) solving the coupled partial differential equations governing three-dimensional (3D) motions of a towed underwater cable has been implemented in a combined ensemble Kalman filter (EnKF) and ensemble Kalman smoother (EnKS), as a new approach to combined state and parameter estimation for towed underwater cables. A simulation study of the method applied to a seismic streamer has been performed. Cable state variables as well as model parameters are estimated. Parameters estimated are crossline ocean current varying with time as well as cable tangential drag coefficient. The presented results indicate that the method is able to estimate state as well as parameters for seismic streamers.

Funder

Norges Forskningsråd

Publisher

ASME International

Subject

Mechanical Engineering,Ocean Engineering

Link

http://asmedigitalcollection.asme.org/offshoremechanics/article-pdf/139/6/061303/6763255/omae_139_06_061303.pdf

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