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Record W1979787907 · doi:10.4043/22097-ms

Continuum Modelling of Ice Gouge Events: Observations and Assessment

2011· article· en· W1979787907 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOTC Arctic Technology Conference · 2011
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsSubseaMarine engineeringPipeline transportSubmarine pipelineEulerian pathGeologyArcticComputer scienceParametric statisticsPetroleum engineeringEngineeringGeotechnical engineeringMechanical engineeringLagrangianOceanography

Abstract

fetched live from OpenAlex

Abstract With the majority of estimated Arctic oil and gas reserves being held offshore, ice gouging will likely be a major consideration in the design of transport pipelines in these regions. The implications of the effects of ice gouging on buried pipelines are well understood. The ability to model this phenomenon using advanced numerical simulation tools has been proven in recent years, and is demonstrated in this paper. The uncertainty that revolves around these tools, due to limitations in the available physical dataset that can be utilized to validate the results, is discussed. In this paper, a limited parametric study on the influence of ice keel attack angle and interface strength on the free-field subgouge displacement field, and subsequent effects on a buried pipeline is presented. The Coupled Eulerian Lagrangian finite element formulation available in ABAQUS/Explicit and the Arbitrary Lagrangian Eulerian formulation in LS-DYNA are used to conduct the numerical experiment. The results are shown and the observations are discussed in detail. Finally, an assessment in terms of the challenges of implementing the numerical tools in an engineering application is provided. Introduction Energy demand has promoted renewed interest in the exploration and field development of offshore hydrocarbon basins in the arctic and ice covered waters of the northern hemisphere. In these harsh environments, pipelines offer a safe and cost effective mode to transport hydrocarbon resources to the marketplace. The presence of ice features and potential interaction with the seabed impose significant engineering challenges for design, construction and operation of subsea pipelines. Key technical issues relate to establishing pipeline mechanical performance criteria and trenching requirements for pipeline protection that meet target safety levels and satisfy logistical and economic constraints. Ice gouge events involve ice keel/seabed interaction, soil failure mechanisms, soil clearing processes and subgouge soil deformations [1,2]. As the magnitude of ice keel/seabed reaction forces can be an order greater than other conventional load events; such as anchor dragging and pullover, then direct ice/pipeline contact is not a viable design option for most ice gouge scenarios [3]. In the 1970's, the use of extremal statistics was considered sufficient to estimate the design gouge depth and corresponding trench depth requirements. Later, in the 1990's, it was realized this approach to avoid direct ice/pipeline contact was incomplete. This conclusion was primarily based on physical modelling studies highlighting the importance of subgouge soil deformations and potential effects on the pipeline mechanical response [4,5]. Early continuum finite element (FE) modelling investigations on ice gouge events did not achieve the research objectives due to technology constraints [1,6]. Two-dimensional simulation models were not representative of the ice gouge clearing processes, and three-dimensional analysis encountered numerical instability due to excessive element distortion.

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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.596

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)0.0000.000

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 head0.067
GPT teacher head0.223
Teacher spread0.156 · 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