Ice management and design philosophy

Ice management (IM) is defined as all activities carried out with the objective of mitigating hazardous situations by reducing or avoiding actions from any kind of ice feature to a protected unit (e.g. a drilling vessel) and includes several types of barriers. IM barriers are ranging from ice observ...

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Bibliographic Details
Main Authors: Ruud, Stian Knud, Skjetne, Roger
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis 2018
Subjects:
Online Access:http://hdl.handle.net/11250/2583098
https://doi.org/10.1201/9780429440519
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record_format openpolar
spelling ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2583098 2024-09-09T19:26:20+00:00 Ice management and design philosophy Ruud, Stian Knud Skjetne, Roger 2018 application/pdf http://hdl.handle.net/11250/2583098 https://doi.org/10.1201/9780429440519 eng eng Taylor & Francis Marine Design XIII(2018) https://www.ntnu.edu/samcot Norges forskningsråd: 223254 Norges forskningsråd: 203471 urn:isbn:978-1-138-54187-0 http://hdl.handle.net/11250/2583098 https://doi.org/10.1201/9780429440519 cristin:1626434 819-830 Arktisk teknologi Arctic Technology Isforvaltning Ice Management Risikostyring Risk management VDP::Offshoreteknologi: 581 VDP::Offshore technology: 581 Chapter 2018 ftntnutrondheimi https://doi.org/10.1201/9780429440519 2024-06-21T04:53:03Z Ice management (IM) is defined as all activities carried out with the objective of mitigating hazardous situations by reducing or avoiding actions from any kind of ice feature to a protected unit (e.g. a drilling vessel) and includes several types of barriers. IM barriers are ranging from ice observation, ice prediction, ice alerting, ice fighting with icebreakers, and disconnection procedures of the protected unit. The design decisions of the IM barrier systems can be based on qualitative or quantitative performance models. Qualitative descriptions of independent and dependent barriers are first defined and exemplified with qualitative decision criteria. Quali-tative concepts for barrier performance of ice prediction are defined and illustrated in event trees. National barrier regulations (e.g. PSA) contain requirements to model quantitatively the barrier performances. Quantification of the IM performance, which are defined by probabilities of barrier functions, is a major challenge due to lack of data and existing uncertainties. Finally, the paper presents a brief plan for demonstration of the performance models in the design phase with experience data collection supporting the safe learning principle. acceptedVersion Locked until 4.6.2019 due to copyright restrictions. This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in [Marine Design XIII(2018)] on [4 June 2018], available online: https://www.taylorfrancis.com/books/9780429440519/chapters/10.1201/9780429440519-20 Article in Journal/Newspaper Arctic Arktis* NTNU Open Archive (Norwegian University of Science and Technology) Arctic
institution Open Polar
collection NTNU Open Archive (Norwegian University of Science and Technology)
op_collection_id ftntnutrondheimi
language English
topic Arktisk teknologi
Arctic Technology
Isforvaltning
Ice Management
Risikostyring
Risk management
VDP::Offshoreteknologi: 581
VDP::Offshore technology: 581
spellingShingle Arktisk teknologi
Arctic Technology
Isforvaltning
Ice Management
Risikostyring
Risk management
VDP::Offshoreteknologi: 581
VDP::Offshore technology: 581
Ruud, Stian Knud
Skjetne, Roger
Ice management and design philosophy
topic_facet Arktisk teknologi
Arctic Technology
Isforvaltning
Ice Management
Risikostyring
Risk management
VDP::Offshoreteknologi: 581
VDP::Offshore technology: 581
description Ice management (IM) is defined as all activities carried out with the objective of mitigating hazardous situations by reducing or avoiding actions from any kind of ice feature to a protected unit (e.g. a drilling vessel) and includes several types of barriers. IM barriers are ranging from ice observation, ice prediction, ice alerting, ice fighting with icebreakers, and disconnection procedures of the protected unit. The design decisions of the IM barrier systems can be based on qualitative or quantitative performance models. Qualitative descriptions of independent and dependent barriers are first defined and exemplified with qualitative decision criteria. Quali-tative concepts for barrier performance of ice prediction are defined and illustrated in event trees. National barrier regulations (e.g. PSA) contain requirements to model quantitatively the barrier performances. Quantification of the IM performance, which are defined by probabilities of barrier functions, is a major challenge due to lack of data and existing uncertainties. Finally, the paper presents a brief plan for demonstration of the performance models in the design phase with experience data collection supporting the safe learning principle. acceptedVersion Locked until 4.6.2019 due to copyright restrictions. This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in [Marine Design XIII(2018)] on [4 June 2018], available online: https://www.taylorfrancis.com/books/9780429440519/chapters/10.1201/9780429440519-20
format Article in Journal/Newspaper
author Ruud, Stian Knud
Skjetne, Roger
author_facet Ruud, Stian Knud
Skjetne, Roger
author_sort Ruud, Stian Knud
title Ice management and design philosophy
title_short Ice management and design philosophy
title_full Ice management and design philosophy
title_fullStr Ice management and design philosophy
title_full_unstemmed Ice management and design philosophy
title_sort ice management and design philosophy
publisher Taylor & Francis
publishDate 2018
url http://hdl.handle.net/11250/2583098
https://doi.org/10.1201/9780429440519
geographic Arctic
geographic_facet Arctic
genre Arctic
Arktis*
genre_facet Arctic
Arktis*
op_source 819-830
op_relation Marine Design XIII(2018)
https://www.ntnu.edu/samcot
Norges forskningsråd: 223254
Norges forskningsråd: 203471
urn:isbn:978-1-138-54187-0
http://hdl.handle.net/11250/2583098
https://doi.org/10.1201/9780429440519
cristin:1626434
op_doi https://doi.org/10.1201/9780429440519
_version_ 1809895975012007936