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Record W2198077765 · doi:10.5006/c2011-11271

Study of Corrosion and Inhibition of Carbon Steel in CO2 Containing Natural Gas at High Temperature

2011· article· en· W2198077765 on OpenAlexaff
Hejian Sun, Muhdi Sujatmiko, Mohamad Aulia, Josh Davis, Roger Hudgins

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsCorrosionNatural gasMaterials scienceCarbon steelCarbon fibersMetallurgyCarbon dioxideHigh-temperature corrosionWaste managementComposite materialChemistryEngineering

Abstract

fetched live from OpenAlex

Abstract The Inline Inspection (ILI) data indicated that corrosion has taken place inside the pipeline transporting the wet natural gas containing CO2 at very high temperature. The corrosion inhibitor at the injection rate of 0.47 Liter per MMSCFT (One Pint per MMSCFT) was injected into the pipeline to protect carbon steel from corrosion. The corrosion modeling results showed very high corrosion rate under the operating conditions. The severity of corrosion inside the pipeline detected by ILI was much lower than the corrosion prediction modeling results. The finding in this study showed the passivation film formed under the operating conditions at very high temperature reduced the general corrosion rate. However, addition of the corrosion inhibitor to the testing autoclaves reduced its protection, and increased corrosion rate. A corrosion inhibitor that is compatible with the passivation film is required to protect the pipeline. This study demonstrated how the laboratory data have supported the corrosion mitigation program for a field operation through exploring the mechanism of high temperature CO2 corrosion of carbon steel in a low total dissolved solids (TDS) brine

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 score0.041
Threshold uncertainty score0.330

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 head0.023
GPT teacher head0.241
Teacher spread0.219 · 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

Citations5
Published2011
Admission routes1
Has abstractyes

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