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Record W171047101 · doi:10.5006/c2003-03332

Corrosion Inhibitor Developments for Offshore Gas Gathering Systems on Canada’S Atlantic Coast

2003· article· en· W171047101 on OpenAlexaffabout
Michael R. Gregg, Andrew Sharp, K. Bartrip

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsBaker Hughes (Canada)
Fundersnot available
KeywordsSubmarine pipelineCorrosionOceanographyEnvironmental sciencePetroleum engineeringEngineeringGeologyMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

Abstract A laboratory inhibitor selection study was conducted to select suitable corrosion inhibitors for managing corrosion in wet sub-sea pipelines containing ethylene glycol I salt water fluid mixtures. Several inhibitors were screened using static autoclave partitioning tests simulating worst case field conditions at 248 kPa (36 psi) CO2 partial pressure and 75° C (167 F). All inhibitors studied afforded excellent protection against general corrosion but three chemistries were also very effective in preventing pitting attack. Uninhibited lean (~ 20% water content) and rich (~ 50% water content) ethylene glycol / water mixtures (MEG) were also studied under static and dynamic flow conditions to evaluate pitting corrosion tendency of sodium chloride salt spike (750 ppm, 5,000 ppm, 8,000 ppm and 80,000 ppm chloride) additions to the MEG relative inhibited fluids.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.871
Threshold uncertainty score0.257

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.178
Teacher spread0.169 · 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 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

Citations3
Published2003
Admission routes2
Has abstractyes

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