Position prediction of marine seismic streamer cables using various kalman filter methods
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 intrastreamer separation, as well as new types of survey configurations, accurate mode...
Published in: | Journal of Offshore Mechanics and Arctic Engineering |
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American Society of Mechanical Engineers (ASME)
2019
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Online Access: | https://hdl.handle.net/10037/17931 https://doi.org/10.1115/1.4043178 |
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ftunivtroemsoe:oai:munin.uit.no:10037/17931 2023-05-15T14:22:34+02:00 Position prediction of marine seismic streamer cables using various kalman filter methods Grindheim, Jan Vidar Revhaug, Inge Pedersen, Egil Solheim, Peder 2019-04-26 https://hdl.handle.net/10037/17931 https://doi.org/10.1115/1.4043178 eng eng American Society of Mechanical Engineers (ASME) Journal of Offshore Mechanics and Arctic Engineering Grindheim JV, Revhaug I, Pedersen E, Solheim P.(2019) Position prediction of marine seismic streamer cables using various kalman filter methods. Journal of Offshore Mechanics and Arctic Engineering,141, (5), 1-8 FRIDAID 1710352 doi:10.1115/1.4043178 0892-7219 1528-896X https://hdl.handle.net/10037/17931 openAccess Copyright © 2019 by ASME VDP::Technology: 500::Marine technology: 580::Offshore technology: 581 VDP::Teknologi: 500::Marin teknologi: 580::Offshoreteknologi: 581 Journal article Tidsskriftartikkel Peer reviewed acceptedVersion 2019 ftunivtroemsoe https://doi.org/10.1115/1.4043178 2021-06-25T17:57:22Z 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 intrastreamer separation, as well as new types of survey configurations, accurate modeling, positioning, and path prediction of the streamers are imperative. In the present study, a 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. Article in Journal/Newspaper Arctic University of Tromsø: Munin Open Research Archive Journal of Offshore Mechanics and Arctic Engineering 141 5 |
institution |
Open Polar |
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University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
topic |
VDP::Technology: 500::Marine technology: 580::Offshore technology: 581 VDP::Teknologi: 500::Marin teknologi: 580::Offshoreteknologi: 581 |
spellingShingle |
VDP::Technology: 500::Marine technology: 580::Offshore technology: 581 VDP::Teknologi: 500::Marin teknologi: 580::Offshoreteknologi: 581 Grindheim, Jan Vidar Revhaug, Inge Pedersen, Egil Solheim, Peder Position prediction of marine seismic streamer cables using various kalman filter methods |
topic_facet |
VDP::Technology: 500::Marine technology: 580::Offshore technology: 581 VDP::Teknologi: 500::Marin teknologi: 580::Offshoreteknologi: 581 |
description |
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 intrastreamer separation, as well as new types of survey configurations, accurate modeling, positioning, and path prediction of the streamers are imperative. In the present study, a 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. |
format |
Article in Journal/Newspaper |
author |
Grindheim, Jan Vidar Revhaug, Inge Pedersen, Egil Solheim, Peder |
author_facet |
Grindheim, Jan Vidar Revhaug, Inge Pedersen, Egil Solheim, Peder |
author_sort |
Grindheim, Jan Vidar |
title |
Position prediction of marine seismic streamer cables using various kalman filter methods |
title_short |
Position prediction of marine seismic streamer cables using various kalman filter methods |
title_full |
Position prediction of marine seismic streamer cables using various kalman filter methods |
title_fullStr |
Position prediction of marine seismic streamer cables using various kalman filter methods |
title_full_unstemmed |
Position prediction of marine seismic streamer cables using various kalman filter methods |
title_sort |
position prediction of marine seismic streamer cables using various kalman filter methods |
publisher |
American Society of Mechanical Engineers (ASME) |
publishDate |
2019 |
url |
https://hdl.handle.net/10037/17931 https://doi.org/10.1115/1.4043178 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
Journal of Offshore Mechanics and Arctic Engineering Grindheim JV, Revhaug I, Pedersen E, Solheim P.(2019) Position prediction of marine seismic streamer cables using various kalman filter methods. Journal of Offshore Mechanics and Arctic Engineering,141, (5), 1-8 FRIDAID 1710352 doi:10.1115/1.4043178 0892-7219 1528-896X https://hdl.handle.net/10037/17931 |
op_rights |
openAccess Copyright © 2019 by ASME |
op_doi |
https://doi.org/10.1115/1.4043178 |
container_title |
Journal of Offshore Mechanics and Arctic Engineering |
container_volume |
141 |
container_issue |
5 |
_version_ |
1766295126807674880 |