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Utilizing the EnKF (Ensemble Kalman Filter) and EnKS (Ensemble Kalman Smoother) for Combined State and Parameter Estimation of a 3D Towed Underwater Cable Model

[+] Author and Article Information
Jan Vidar Grindheim

GEOGRAF AS, Strandgt. 5, NO-4307 Sandnes, Norway; Faculty of Science and Technology (IMT), Norwegian University of Life Sciences (NMBU), P.O.B. 5003, NO-1432 Ås, Norway
jan.grindheim@gmail.com

Inge Revhaug

Faculty of Science and Technology (IMT), Norwegian University of Life Sciences (NMBU), P.O.B. 5003, NO-1432 Ås, Norway
inge.revhaug@nmbu.no

Egil Pedersen

Department of Engineering Science and Safety, The Arctic University of Norway (UiT), Hansine Hansens veg 18, NO- 9037 Tromsø, Norway
egil.pedersen@ntc-as.no

1Corresponding author.

ASME doi:10.1115/1.4037173 History: Received July 30, 2015; Revised June 16, 2017

Abstract

A finite difference method solving the coupled partial differential equations governing 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 are estimated as well as model parameters. 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.

Copyright (c) 2017 by ASME
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