MétaCan
Menu
Back to cohort
Record W2079019968 · doi:10.4043/23760-ms

Finite Element Modeling of Iceberg Interaction with Subsea Protection Structures

2012· article· en· W2079019968 on OpenAlexaffabout
Elizabeth A. Drover, Shawn Kenny

Bibliographic record

VenueOTC Arctic Technology Conference · 2012
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsSubseaKeelSeabedIcebergMarine engineeringGeologyPipeline transportFinite element methodEngineeringSea iceStructural engineeringMechanical engineeringOceanography

Abstract

fetched live from OpenAlex

Abstract Ice feature interaction with subsea infrastructure or the seabed is acomplex nonlinear event, for which many analytical and advanced computationaltools have been developed with demonstrated application. Although subsea fieldshave been developed in ice gouge environments, such as the Grand Banks, consideration of alternative methods for protecting subsea infrastructure is ofgreat importance. A more in-depth understanding of ice feature mechanicalbehavior and interaction with subsea infrastructure is required. For various iceberg shapes and loading conditions, the finite element modelspresented in this paper examine the interaction of free-floating ice featureswith protective structures located above or partially above the mudline. Apreliminary assessment of an interaction scenario involving a gouging icebergkeel with a buried protection structure is also presented. The outcome of thisstudy enhances understanding of the primary factors to be considered for thedesign of protection structures in ice environments and highlights some of thetechnical issues associated with the development and calibration of advancedsimulation tools. Introduction For conventional design scenarios, protection schemes have been developedfor pipelines and subsea wellheads that include rock placement, mattresses, andstructural frames comprised of steel or concrete (e.g. Alexander, 2008; Berntand Smedsrud, 2007; Copsey and Johnson, 1993; Faden et al., 1980; Figenschouand Wikdal, 1992; Kirkbride and Bloomer, 1994). Ice keel/seabed reactionforces, however, can be an order of magnitude greater than other pipelineloading events such as anchor dragging and pullover (Kenny et al., 2007a, b;Palmer et al., 1990). From this perspective, for subsea infrastructure such aspipelines and wellheads, positioned above or buried beneath the mudline, freelyfloating ice keel contact and seabed ice gouging events have the potential tocause damage or failure of these systems. For large field developments, where technical, risk and economic factorsdemonstrate project viability, subsea facilities can be housed withinprotective offshore structures (e.g. Hibernia or Sakhalin gravity baseplatforms), or excavated drill centers (EDC), such as those used on the TerraNova and White Rose fields on the Canadian Grand Banks (e.g. Allen, 2011;Finch, 1998; Lever and Dunsmore, 2011; Norman et al., 2008). The primaryconcept for subsea protection was to place the infrastructure within an openexcavation within the seabed or within a drilled, cylindrical counter boredepression below the mudline. These ideas evolved in response to the drillingoperations and potential development of hydrocarbon resources in the BeaufortSea (e.g. Logsdon and Field, 1983; McKay et al., 1995; Meadows and Gilbert,1989; Shields, 1994; Stewart and Goldby, 1984; Todd, 1978).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.216
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueOTC Arctic Technology ConferenceSame topicOffshore Engineering and TechnologiesFrench-language works237,207