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Record W3000334566 · doi:10.1080/1478422x.2019.1710663

Downhole O <sub>2</sub> corrosion during air-assisted steam injection for secondary or tertiary oil recovery

2020· article· en· W3000334566 on OpenAlexaff
Yani Zhang, Guoxian Zhao, Y. Frank Cheng

Bibliographic record

VenueCorrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control · 2020
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCorrosionMaterials scienceSteam injectionSecondary air injectionWater injection (oil production)Tube (container)MagnetiteMetallurgyPetroleum engineeringWaste managementComposite materialGeology

Abstract

fetched live from OpenAlex

Air-assisted steam injection is used as a secondary or tertiary oil recovery technology. During closing, downhole tubular goods are subject to corrosion in a mixed oxygen–steam–hot solution environment. This study investigates the influence of air injection pressure, temperature and Cl− ion concentration in the injection water on the corrosion of P110 steel. Results show that high air injection pressure for increasing oil recovery ratio leads to the highly aggressive corrosion. The trend of corrosion rate and temperature in air-saturated injection water is a reversed ‘V’ curve. However, the high Cl− concentration, which promotes the formation of large holes in the magnetite scale, greatly reduces corrosion. A suitable injection press that balances the oil recovery ratio and corrosion rate of oil tube, avoiding 170°C suitable for the highest corrosion rate, and periodic removing corrosion scales are necessary to inhibit further deterioration of downhole tubular goods.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.008
GPT teacher head0.219
Teacher spread0.212 · 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

Citations6
Published2020
Admission routes1
Has abstractyes

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Same venueCorrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion ControlSame topicCorrosion Behavior and InhibitionFrench-language works237,207