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Record W2334319604 · doi:10.1021/ef502709r

Comparison of Different Methods To Determine the Surface Wettability of Fine Solids Isolated from Alberta Oil Sands

2015· article· en· W2334319604 on OpenAlexaffabout
Cheng Wang, Mirjavad Geramian, Qi Liu, Douglas G. Ivey, Thomas H. Etsell

Bibliographic record

VenueEnergy & Fuels · 2015
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsWettingSessile drop techniqueContact angleOil sandsSurface tensionAsphaltCapillary actionKaoliniteChromatographyMaterials scienceDrop (telecommunication)TolueneSurface energyChemical engineeringChemistryMineralogyComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

The wettability of fine solids in Alberta oil sands is one of the most important factors affecting nonaqueous bitumen extraction and subsequent solvent recovery from the extraction gangue. However, there is some controversy as to which method is most suitable for wettability determination of fine solids isolated from the oil sands. In this paper, four different methods—i.e., particle partition, static sessile drop contact angle coupled with penetration time, Washburn capillary rise, and film flotation—were investigated and compared in order to determine suitable methods to examine the wettability of these fine solids. Two model samples, high-purity kaolinite (hydrophilic) and bitumen-treated kaolinite (hydrophobic), were used to investigate the suitability of the above four methods. These methods were then used to measure the surface wettability of fine solids isolated from the oil sands (marine clay) after toluene extraction, either untreated or heated at 400 °C for 2 h. The results showed that the Washburn capillary rise method was not applicable. In addition, the particle partition and static sessile drop contact angle coupled with penetration time methods had some deficiencies and were not very suitable to determine the wettability of fine solids isolated from the oil sands. The film flotation method was determined to be the most appropriate method, because (i) it was sufficiently sensitive to distinguish solid surface hydrophilicity and hydrophobicity; (ii) it could quantify the hydrophilicity and hydrophobicity, based on the measured “mean critical surface tension”; and (iii) it could be used to determine the surface heterogeneity of the solids, based on the standard deviation of the measurements. By using the film flotation method, the mean critical surface tensions of fine solids was >68.1 mN/m, while that of the heat-treated solids was >72.0 mN/m, and the standard deviation of the critical surface tensions of the floating particles (0–25.9 wt %) for fine solids was 40.5 mN/m, which indicated that heat treatment caused the fine solids to become more hydrophilic and the hydrophobicity of the fine solids was heterogeneous. In addition to direct application of the four standard methods, we have further developed the methods and gained some new insights into them.

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 score0.089
Threshold uncertainty score0.651

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 head0.030
GPT teacher head0.316
Teacher spread0.285 · 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

Citations23
Published2015
Admission routes2
Has abstractyes

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