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Record W2359054008

Progressive Research of Treatment for Sewage Produced From Polymer Flooding Displacement

2003· article· en· W2359054008 on OpenAlexaff
Zhongzhi Zhang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsPolyacrylamideSewageCatalysisPolymerDegradation (telecommunications)ChemistrySulfateSewage treatmentChemical engineeringEnvironmental chemistryPulp and paper industryEnvironmental engineeringWaste managementEnvironmental scienceOrganic chemistryEngineeringPolymer chemistry
DOInot available

Abstract

fetched live from OpenAlex

Sewage containing polyacrylamide (PAM) is one of complex components with special characteristics. It has become an important subject to be resolved necessarily with polymer flooding being applied to enhance oil recovery and increasing sewage quantity year by year. This paper summarizes possibility of PAM degradation with some kinds of ways. PAM in water can be degraded with varying content by photo catalytic oxidation or sulfate-reducing bacteria. Catalysts and light resources to influence of PAM were investigated in the system of photo catalytic oxidation. HPAM can be degraded to 8% by using 1% of TiO2 as catalyst under ultraviolet radiation of the middle pressure mercury lamp. It can also be degraded to a great extent by means of good growth of sulfate-reducing bacteria under approximate pH=7. HPAM loosed stability and easy to be degraded under the high temperature or high mineralized degree (60-80 ℃). It is concluded that the result be applied to the sound data of treatment PAM sewage. 

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)0.000
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 score0.133
Threshold uncertainty score0.805

Codex and Gemma teacher scores by category

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 head0.131
GPT teacher head0.392
Teacher spread0.261 · 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

Citations3
Published2003
Admission routes1
Has abstractyes

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