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Super Heavy Oil Wastewater Treatment by Combined ME and I-BF Process-A Field Pilot Study

2012· article· en· W1984155285 on OpenAlexaff
Kun Tong, Yi He Zhang, Qi Song, Qi Wang

Bibliographic record

VenueApplied Mechanics and Materials · 2012
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsEffluentWastewaterSewage treatmentChemistryPulp and paper industryEnvironmental scienceEnvironmental chemistryChemical oxygen demandMicroorganismNutrientWaste managementEnvironmental engineeringBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

A field pilot test was conducted on a macro-electrolysis/biological filter with immobilized microorganism system (ME/I-BF) in the Liaohe oilfield, China to treat super heavy oil wastewater with large amounts of dissolved recalcitrant organic compounds and low nutrients of nitrogen and phosphorus. By operating the system for 155 days (including the start-up of 28 days), the BOD/COD ratio of water increases from 0.13 to 0.22 and the COD removal rate is 47.46% after the ME treatment. Then, the COD decreases to 100 mg/L and the COD removal rate is 80.96% after I-BF treatment. When indigenous microorganisms inoculated, the effluent gets better, COD decreases to 70 mg/L and the removal rate of COD increases to 88.54%. Gas chromatography/mass spectrometry (GC/MS) indicated that the super heavy oil wastewater contains 11 organic compounds and most of them are removed after treatment. This integrated system is a useful option for the treatment of heavy oil wastewater.

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 score0.002
Threshold uncertainty score0.737

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)0.0000.000

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 head0.011
GPT teacher head0.225
Teacher spread0.214 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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