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Record W2282873195

Ice Gouge Risk to Offshore Pipelines – Making the Most of Available Data

2003· article· en· W2282873195 on OpenAlexaboutno aff
Regis McKenna, Tony King, Rob Brown, Jonathon Edward Bruce, Ryan Phillips

Bibliographic record

VenueProceedings of the International Conference on Port and Ocean Engineering Under Arctic Conditions · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicSmart Materials for Construction
Canadian institutionsnot available
Fundersnot available
KeywordsSubmarine pipelineGeologySeabed gouging by iceIcebergPipeline transportRidgeSeabedOceanographySea iceDrift iceArctic ice packEngineeringPaleontology
DOInot available

Abstract

fetched live from OpenAlex

Marine pipelines, and sub-sea oil and gas production facilities are potentially at risk from gouging ice features. Risk depends on structural configuration, structural resistance, the physical dimensions of the ice gouges (i.e.,width, depth, length and orientation) and the frequency with which these occur. Characteristic expressions for calculating risk of ice damage to buried pipelines are provided in the paper, with some discussion on the consequences. While many of these are straightforward, they are not presently in the ice engineering literature. The scope includes iceberg and pressure ridge keel gouge processes. The authors have been involved in studies of ice gouge risk over the last few years for the Grand Banks of Newfoundland, the Okhotsk Sea off Sakhalin Island and Lake Erie in Canada. In each case, ice gouge processes posed unique challenges. Strategies are outlined for dealing with the absence of comprehensive data on ice gouge presence and dimensions due to the limitations of site-specific seabed surveys.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score0.711

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.245
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the International Conference on Port and Ocean Engineering Under Arctic ConditionsSame topicSmart Materials for ConstructionFrench-language works237,207