MétaCan
Menu
Back to cohort
Record W4392387770 · doi:10.1016/j.corsci.2024.111954

Time-dependent high-pressure CO2-induced corrosion and mechanical degradation in lightweight fly-ash cement/P110 steel system

2024· article· en· W4392387770 on OpenAlexaff
Shuliang Wang, Shidong Wang, Zidan Wen, Mengjun Yao, Mingyu Wu

Bibliographic record

VenueCorrosion Science · 2024
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsUniversity of Alberta
FundersSouthwest Petroleum UniversityState Key Laboratory of Oil and Gas Reservoir Geology and ExploitationNational Natural Science Foundation of China
KeywordsCarbonationCasingCorrosionCementMaterials scienceCrackingFly ashDegradation (telecommunications)MetallurgyComposite materialPetroleum engineeringGeology

Abstract

fetched live from OpenAlex

This study innovatively investigated CO 2 -induced corrosion and mechanical degradation in lightweight fly-ash cement/P110 casing steel system under normal and high pressures. Key findings revealed time-dependent corrosion and mechanical evolution. Under normal pressure, cement properties peaked at 28 days, contrasting with 21 days under high pressure. Simultaneously, the corrosion rate of steel steadily increased, particularly under high pressure. A two-stage degradation process was proposed based on cement hydration and corrosion competition. Higher pressure accelerated degradation through intensified cement carbonation and cement/casing interfacial cracking. The predicted 30-year carbonation depth under high pressure was 51 mm based on the established fitting equation ( H = 3.7026 t 0.2919 − 4.8205 ).

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 score0.330
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.017
GPT teacher head0.254
Teacher spread0.238 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCorrosion ScienceSame topicConcrete and Cement Materials ResearchFrench-language works237,207