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Record W2171697893 · doi:10.1002/cjoc.201090077

Compositional Analysis and Adsorption Performance of Surfactants Used for Combined Chemical Flooding

2010· article· en· W2171697893 on OpenAlex
Wanli Kang, Hongyan Zhang, Lingwei Meng, Shuren Liu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChinese Journal of Chemistry · 2010
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsPulmonary surfactantChemistryAdsorptionCritical micelle concentrationLipophilicityChemical engineeringSulfonateMicelleChromatographyInorganic chemistryEnvironmental chemistryOrganic chemistrySodiumAqueous solution

Abstract

fetched live from OpenAlex

Abstract Adsorption of surfactants on reservoir sands in a combined chemical flooding process was investigated using a microcosmic method in order to reveal the effects of surfactant composition on their adsorption. Alkylbenzenesulfonate types of surfactant have been used in this study. The experimental results indicate that surfactant adsorption on the sands heavily depends on its lipophilicity, and the adsorption quantity increases with increasing the lipophilic chain length of the surfactant. It was found that the saturated adsorption could be reached when the concentration of the surfactant was near the critical micelle concentration (CMC). For oilfield applications, the molecular ion peak of the alkylbenzene‐sulfonate type surfactants should concentrate at around C 18 .

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.

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 score0.111
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.005
GPT teacher head0.241
Teacher spread0.236 · 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