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Record W2125426872 · doi:10.5006/0687

Effect of Sulfide on Carbon Steel Corrosion in Anaerobic Near-Neutral pH Saline Solutions

2012· article· en· W2125426872 on OpenAlexafffund
Brent W.A. Sherar, Peter Keech, James J. Noël, Robert Worthingham, David W. Shoesmith

Bibliographic record

VenueCORROSION · 2012
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsTransCanada (Canada)Western UniversityNuclear Waste Management Organization
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCorrosionCarbon steelHydrogen sulfideSulfideAnaerobic corrosionMaterials scienceSalineMetallurgyCarbon fibersSulfurComposite materialComposite number

Abstract

fetched live from OpenAlex

Severe corrosion damage may occur when gas transmission pipelines are exposed, at disbonded coating locations, to trapped waters containing sulfide. This scenario has been investigated in long-term anaerobic experiments in which corrosion was followed by measurement of corrosion potentials and relative corrosion rates obtained from linear polarization resistance measurements. The properties and composition of the corrosion product deposits formed were determined using scanning electron microscopy, energy-dispersive x-ray analysis, and Raman spectroscopy. Under anaerobic conditions, corrosion rates were lower for freshly polished steel than for precorroded carbon steel exposed to sulfide, suggesting pre-oxidization of the steel surface prevents passivation in the presence of sulfide. Under these last conditions, a non-protective layer of mackinawite forms on the surface and magnetite/maghemite are chemically converted to sulfide and sulfur, leading to a slow increase in corrosion rate.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.020
GPT teacher head0.275
Teacher spread0.255 · 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 designObservational
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

Citations19
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueCORROSIONSame topicCorrosion Behavior and InhibitionFrench-language works237,207