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Record W4237938309 · doi:10.20964/2020.10.40

Corrosion Evolution of a Concrete/Casing Steel in Simulated Formation Water under Different CO2 Partial Pressures

2020· article· en· W4237938309 on OpenAlexaff
Shuliang Wang, Mengjun Yao, Xujia He, Bensong Wu, Li Liu, Shidong Wang, Mingyu Wu, Xingguo Zhang, Dinghan Xiang

Bibliographic record

VenueInternational Journal of Electrochemical Science · 2020
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCasingCorrosionPartial pressureMaterials scienceMetallurgyPetroleum engineeringGeologyChemistry

Abstract

fetched live from OpenAlex

The corrosion behavior, mechanical properties, and microstructural evolution of a concrete/P110 casing steel system were studied in a simulated, CO2-saturated formation water under different CO2 partial pressures. It has been found that the corrosion and mechanical properties of the cement and the cement/casing interface were affected by both cement hydration and CO2 corrosion, making the performance of the cement matrix and the interfacial transition zone improve initially and then deteriorate with time. The corrosion resistance of the casing steel reduced with increasing the immersion time and CO2 pressure. The degradation of cement and cement/casing interface was aggravated under the high CO2 pressure, which assisted the formation of a defected corrosion product layer (predominantly FexCa1-xCO3) and led to severer corrosion on the casing steel surface.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.012
GPT teacher head0.243
Teacher spread0.231 · 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 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

Citations17
Published2020
Admission routes1
Has abstractyes

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Same venueInternational Journal of Electrochemical ScienceSame topicConcrete Corrosion and DurabilityFrench-language works237,207