MétaCan
Menu
Back to cohort
Record W2053815284 · doi:10.2118/01-09-03

Organo-Clay/Anthracite Filtration for Oil Removal

2001· article· en· W2053815284 on OpenAlexaffabout
Hadi Moazed, T. Viraraghavan

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2001
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Regina
FundersBiomin
KeywordsEffluentFiltration (mathematics)AnthraciteBentoniteChemistryMineral oilChromatographyEnvironmental scienceMaterials scienceEnvironmental engineeringGeologyMetallurgyCoalGeotechnical engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract A bentonite organo-clay/anthracite mixture in the granular form (EC-100) was used in filtration (column) studies in treating four representative oil-in-water emulsions. The oil-in-water emulsions used were as follows: Standard Mineral Oil (SMO); Kutwell 45 (KUT) and Valcool (VAL), two cutting oils; and Refinery Effluent (RE) from the Co-operative Oil Refinery, Regina, Saskatchewan. The concentrations of oil in the oily waters varied from 8.3 to 69.3 mg/L. Eight-hour column studies were conducted in a 19 mm ID, 450 mm/1200 mm long cast acrylic pipe with an organo-clay/anthracite depth of 300 mm/1,000 mm. The SMO, KUT, and VAL oil-in-water emulsions were pumped into the column at four flow rates of 3, 6, 9, and 12 mL/min (0.3, 0.5, 0.8, and 1.0 gpm/ft2, respectively). Column breakthrough studies were conducted in a 19 mm ID, 1,200 mm long cast acrylic pipe using the organo-clay/anthracite mixture of 1,000 mm depth. The study was conducted for SMO, KUT, VAL and RE oil-in-water emulsions with a flow rate of 12 mL/mim (1 gpm/ft2). The eight-hour column tests with 300 mm bed depth and all oil-in-water emulsions indicated that generally, the oil removal efficiencies decreased with an increase in flow rate. The percentage reduction in oil removal efficiency was 29 and 37 for SMO, 51 and 59 for KUT, and 9 and 57 for VAL when the flow rate was increased from 3 mL/min to 6 and 9 mL/min, respectively. The results of the eight-hour experiments with a 1,000 mm depth of organo-clay/anthracite bed and with a flow rate of 12 mL/min showed that oil removal efficiency for SMO, KUT, and VAL varied between 65 and 70﹪. In the ase of RE, which is a treated and highly stable emulsion, the oil removal efficiency was found to be 99.5﹪. The results from the breakthrough studies clearly indicated that the Thomas equation provides a reasonable fit of the data. The oil-sorption capacities (x/m) based on a mass balance analysis were found to be 0.0036, 0.0019, 0.0015, and 0.0018 for SMO, KUT, VAL, and RE, respectively. The analysis of the breakthrough data using the Thomas model resulted in similar values of x/m. The results also showed that uptake of oil by an organo-clay/anthracite mixture can well be described by a simple equation involving time, such as Weber and Morris model. Introduction Organo-clay can be described as modified bentonite. The modification process becomes complete by exchanging the inorganic cations (sodium and calcium) present on the surfaces and interlayer spaces of clays by the nitrogen end of a Quaternary amine, and, thus, changing the hydrophilic nature of clays to organophilic(1, 2). As a result, organo-clays become excellent sorbents for hydrophobic organics such as oil(3). An advantage of organo-clay compared to other sorbents is that it can selectively remove organic pollutants from contaminated waters. The sorptive nature of bentonite organo-clay for some organic pollutants has been extensively studied(4-8). However, the effectiveness of organo-clay/anthracite mixture as a filter in the removal of oil from water has not been studied extensively.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
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 head0.007
GPT teacher head0.212
Teacher spread0.204 · 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 designNot applicable
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

Citations13
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Canadian Petroleum TechnologySame topicEnhanced Oil Recovery TechniquesFrench-language works237,207