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Record W253026847 · doi:10.5006/c2010-10274

Evaluation of a New Sour Gas Corrosion Inhibitor for Field Applications via Localized Corrosion Monitoring Techniques

2010· article· en· W253026847 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor Technologies Research
Canadian institutionsBaker Hughes (Canada)
Fundersnot available
KeywordsSour gasCorrosionCorrosion inhibitorMaterials scienceCorrosion monitoringMetallurgyChemistryNatural gasOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract A new corrosion inhibitor was developed for application in sour gas and oil production. During the development process, controlling pitting corrosion in laboratory testing was important for quantifying inhibitor performance. This criterion was set because pitting or localized corrosion is the most significant internal corrosion threat in sour gas production. Evaluation of the corrosion inhibitor in the laboratory testing used vertical scanning interferometry (VSI) to image the exposed coupons and localized corrosion monitoring to quantify localized corrosion. At the end of the development stage a field trial was set up in an oilfield with production consistent with the conditions the inhibitor was exposed to in laboratory testing.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score0.467

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 head0.036
GPT teacher head0.346
Teacher spread0.309 · 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

Quick stats

Citations8
Published2010
Admission routes1
Has abstractyes

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