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Towed seismic streamer cables are extensively employed for offshore marine petroleum exploration. With the increasing need for accurate streamer steering due to rising number and length of streamers and decreasing intra-streamer separation, as well as new types of survey configurations, accurate modeling, positioning and path prediction of the streamers is imperative. In the present study, a 1 Corresponding author; Industrial PhD student. 2 Professor of Mathematics and Head Supervisor of corresponding author. 3 Professor of Technology and Co-supervisor of corresponding author. 4 Industrial PhD mentor of corresponding author and CEO of Geograf AS. Journal of Offshore Mechanics and Arctic Engineering OMAE-18-1106 Grindheim et al. 2 variety of models and methods have been implemented and utilized for data assimilation of full-scale seismic streamer position data for a marine seismic streamer, followed by path prediction ahead of time. The methods implemented are described, including various models used with the Kalman filter, Extended Kalman filter and Ensemble Kalman filter, with comparison and evaluation of prediction results. One particular method, the Path-In-the-Water Ensemble Kalman filter (PIW-EnKF), appears to be the most robust method with good prediction results compared to the other methods, as well as having low computational cost. As a case study with full-scale data, the PIW-EnKF is further employed for estimation and prediction of a complete streamer spread.

Position Prediction of Marine Seismic Streamer Cables Using Various Kalman Filter Methods