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Record W2990793168 · doi:10.5006/c2019-13081

The Influence of Flow Rate on Corrosion Behavior of X65 Carbon Steel in Water-saturated Supercritical CO2/H2S System

2019· article· en· W2990793168 on OpenAlexaff
Peng‐Fei Sui, Jianbo Sun, Chong Sun, Yong Wang, Yong Hua

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSupercritical fluidCorrosionCarbon steelMaterials sciencePetroleum engineeringVolumetric flow rateFlow (mathematics)MetallurgyCarbon fibersComposite materialThermodynamicsMechanicsEngineering

Abstract

fetched live from OpenAlex

Abstract The influence of flow rate on corrosion behavior of X65 carbon steel in water-saturated supercritical CO2 phase containing 1000 ppmv H2S impurity was studied at 35 °C and 8 MPa from 0 m/s to 1.5 m/s. Weight loss tests showed that the general corrosion rate reached maximum at the flow rate of 1 m/s and then decreased with flow rate to 1.5 m/s. Turtle pattern corrosion morphology was observed on the sample surface when the flow rate exceeded 1 m/s. The corrosion product mainly consisted of FeCO3 and FeS, and the average size of spherical corrosion product changed with flow rate. Besides, the percentage composition of FeS presented the same change trend as the average size of spherical corrosion product. In supercritical CO2 phase, wall shear stress was not big enough to cause mechanical damage on corrosion film but can affect the formation process and the characteristics of the corrosion film of X65 carbon steel.

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)0.001
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 score0.020
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.236
Teacher spread0.227 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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