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Record W2031482303 · doi:10.4043/25259-ms

Subsea Well Response Project enhances international well incident intervention capabilities

2014· article· en· W2031482303 on OpenAlexaff
Keith L. Lewis, Andrzej A. Kaczmarski, Heather Stanga, Kris Kallaway

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsResponse Biomedical (Canada)
Fundersnot available
KeywordsSubseaContainment (computer programming)Computer scienceEngineeringSystems engineeringEnvironmental scienceMarine engineering

Abstract

fetched live from OpenAlex

Abstract The Subsea Well Response Project (SWRP) was established in 2011 on the recommendation of the International Association of Oil and Gas Producers as part of its efforts to further improve subsea well capping response readiness and to further study the need for, and feasibility of, global containment solutions. Through SWRP, international oil and gas companies have worked together on an unprecedented scale to share knowledge, expertise and best practices to enhance international subsea well incident intervention capabilities and to minimise the environmental impact in the event of a subsea well control incident. This paper will present a summary of the key results from the Project, including the research and technological advancements that will benefit the whole industry. SWRP has undertaken extensive studies into existing technologies and capabilities and the availability of components already stored around the world, in order to design a well intervention toolbox, including capping and dispersant injection capabilities that can be used in different offshore regions around the world. The first elements of this integrated intervention system are now available to the industry, including four subsea capping stack systems and two subsea incident response toolkits for debris clearing and the subsea application of dispersant. Furthermore, SWRP developed a concept for a subsea well containment solution which relies extensively on existing drilling rigs and commercially-available well-testing equipment to capture fluids from an incident well and flow them to the surface for processing and disposal (in the unlikely event of a well capping operation being unable to completely stop uncontrolled flow of hydrocarbons to the sea). Based on this concept, SWRP carried out further engineering and modelling studies to develop a technically feasible subsea well containment template system. This template system consists of a combination of (i) items of long-lead equipment referred to as the containment toolkit, and (ii) existing capture vessels and various items of industry standard well testing equipment. SWRP is collaborating with Oil Spill Response Limited to make this advanced capping, dispersant and containment equipment available to the wider industry, on a commercial basis. The subsea well owners/operators will benefit from planning in advance in order to prepare appropriate contingency response plans for a well control incident and potential emergency deployment of the integrated subsea well intervention system.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.496

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 head0.007
GPT teacher head0.223
Teacher spread0.217 · 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 designBench or experimental
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
Published2014
Admission routes1
Has abstractyes

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