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Record W1980666392 · doi:10.4043/22098-ms

Three-dimensional FE Model for Pipeline in Permafrost with Thermosyphon Protection

2011· article· en· W1980666392 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOTC Arctic Technology Conference · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostThermosiphonPipeline transportEnvironmental scienceSettlement (finance)Heat transferArcticRevetmentPipeline (software)GeologyGeotechnical engineeringMarine engineeringPetroleum engineeringEngineeringComputer scienceMechanical engineeringHeat exchangerMechanicsEnvironmental engineeringOceanography

Abstract

fetched live from OpenAlex

Abstract Permafrost presents one of the key challenges to development of oil and gas reserves in both onshore and near-shore Arctic fields. The settlement due to permafrost thawing has been observed for warm foundations and pipelines. Such settlement is considered a severe threat to the integrity of these foundations and pipelines. Further, large-scale permafrost degradation due to the thermal interference with warm foundations and pipelines may potentially lead to major environmental issues, which may take hundreds of years to recover. As one of the most effective approachs to protect the permafrost from thawing, two-phase closed thermosyphons have been employed in many Arctic projects. The thermosyphons' response as a "thermo-diode" is the key to this technology. However, due to the complex nature of the fluid flow and heat transfer processes within the thermosyphon, simulating a thermosyphon with CFD methods in the engineering design could be overwhelming and unpractical. This paper presents a finite element (FE) model that can be used in the geothermal analysis of the permafrost, taking into account the external thermal interference and the effect of thermosyphons. An anisotropic conduction model of the thermosyphon is implemented to simplify the thermal-fluid processes within the thermosyphon, and reduce the computational cost. The developed model can be used to optimize the design of new infrastructures and pipelines in the permafrost, as well as to assess how thermosyphons work as a mitigation method in existing projects that are affected by permafrost thawing. Introduction to permafrost Permafrost is ground at or below the freezing point of water (0°C or 32°F) for two or more successive years. It is a very common geographic phenomenon in the North. Most permafrost of the Northern Hemisphere is distributed in Russia (80% of Siberia), Alaska (80%), Canada (50%), Greenland (81%), China (22%) and northern Europe. Recently, there is an increasing interest in the research of Arctic offshore permafrost because of the difficulties it poses for offshore oil development. For Arctic offshore projects, permafrost typically exists in shallow waters and at shore crossing. The challenge of constructing a pipeline in the permafrost is two-fold. One is to design the pipeline in a way that is affordable and stable over its working period; the other is to eliminate or limit the impact of the pipeline to the fragile arctic environment. Thaw settlement is considered the most direct problem related to warm pipeline buried in permafrost. With the heat released from the pipeline, the surrounding permafrost may gradually thaw over years of operation. Depending on the amount of heat released from the pipe, the soil type and the distribution of massive ice in the permafrost, differential settlement is likely to occur. In areas, the pipeline may be no longer supported vertically and may be, in effect, bearing the weight of soil on its top. This causes the pipeline to deflect into the void created by settlement and induces strains in the pipe wall, which could result in over stress and even damage of the pipeline.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.999

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)0.0020.000

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 head0.082
GPT teacher head0.232
Teacher spread0.150 · 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