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Record W1997583171 · doi:10.4043/22137-ms

Alternative Concepts to Gloryholes for Protection of Subsea Infrastructure in Ice Prone Regions

2011· article· en· W1997583171 on OpenAlexaffabout
Ralph Freeman, Tony King, Arash Zakeri

Bibliographic record

VenueOTC Arctic Technology Conference · 2011
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsCentre For Cold Ocean Resources Engineering
Fundersnot available
KeywordsWellheadSubseaKeelComputer scienceSeabedIdentification (biology)Conceptual designRisk analysis (engineering)EngineeringMarine engineeringSystems engineeringGeologyPetroleum engineeringMechanical engineeringStructural engineeringBusiness

Abstract

fetched live from OpenAlex

Abstract Marginal field developments on the Grand Banks and other regions may not be economic if conventional protection using gloryholes must be used, and new technology is required. Identification of alternative concepts to gloryholes for protection of subsea facilities against threats from ice keel interaction was the focus of recent research and development activities at C-CORE. The primary criterion for the design of protection structures is that systems are safe and environmentally responsible, thereby preventing hydrocarbon discharge. This paper provides an overview of the risk-based approach for design of gloryholes including geometry and depth requirements as well as associated challenges and uncertainties. It then presents three conceptual alternatives to gloryholes:revised well casing design,protective truncated cone structure installed above the mudline, andsub-seabed protective structure. The first concept involves devising a mechanical Shear Connection Linkage such that, given an extreme ice keel loading event, displacement of the wellhead system is isolated to a zone near the mudline while maintaining the integrity of the downhole safety barriers. The second concept includes a protection structure at the mudline that sits overtop of a single wellhead system protecting it from direct interaction with an iceberg keel. The third concept is applicable to single and small well cluster systems. It requires relatively smaller but more precise seabed excavation compared to the conventional gloryholes. If further developed, all three alternatives could potentially provide considerable cost savings for specific situations. Concept evaluation is briefly discussed for each alternative in terms of logistics for design, construction and installation based on regional, environmental and geotechnical conditions. Finally, the outstanding technical challenges and knowledge gaps that need to be addressed are identified and discussed. The significance of this work is that marginal field developments not deemed economic using conventional technology may be possible in the future. Introduction Over 25% of the world's petroleum reserves are believed to be in arctic regions and other offshore ice-frequented environments. As world energy demand increases, development of oil and gas resources in harsh ice environments is being increasingly considered by industry. The advancement of safe, cost-effective and reliable engineering solutions for subsea infrastructure in ice environments is a key requirement for sanctioning stand alone and marginal field developments. Subsea infrastructure that requires protection from ice keels includes components such as wellheads, production Xmas trees, manifolds, umbilicals, flowlines and pipelines (Randell et al, 2008). One of the major engineering challenges in operating off the East Coast of Canada, and also Greenland, is the presence of icebergs with sufficient draft to interact with the subsea and seabed infrastructure. Figure 1 shows a portion of heavily gouged seabed illustrating both gouge furrows and pits.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.239
Teacher spread0.211 · 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 designTheoretical or conceptual
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

Citations4
Published2011
Admission routes2
Has abstractyes

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