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Bitumen Coating on Oil Sands Clay Minerals: A Review

2019· review· en· W2951107036 on OpenAlexaff
Qiang Chen, Qi Liu

Bibliographic record

VenueEnergy & Fuels · 2019
Typereview
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Alberta
FundersFundamental Research Funds for the Central UniversitiesMinistry of Education of the People's Republic of China
KeywordsOil sandsAsphaltClay mineralsCoatingGeologyMineralogyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Contamination of bitumen products by mineral solids is an intractable problem in the oil sands industry. Clay minerals with a bitumen coating, a major component of the mineral solids contaminants in bitumen, adversely affect bitumen production in multiple ways: hindering bitumen extraction, hindering dewatering of extraction tailings, stabilizing water-in-bitumen emulsions, lowering the quality of bitumen, and so on. In this review, the recent progresses in understanding these bitumen-coated clay particles are summarized, particularly focusing on the spatial distribution of the bitumen coating on clay surfaces and the effect of such coating on clay behaviors. Here, “bitumen coating” is defined as all types of irreversibly adsorbed organic matter on oil sands clay minerals, including (but not limited to) asphaltenes and humic materials. The patchy nature of this bitumen coating has been proven and visualized in several recent works where different approaches have been used, including quantitative nanomechanical atomic force microscopy, total internal reflection fluorescence microscopy, and electron energy-loss spectroscopy. The presence of a bitumen coating makes the clay particles behave “actively” in bitumen production processes, causing the clays to migrate to bitumen products, i.e., water-extracted bitumen froth and solvent-extracted bitumen. The available methods for removal of fine mineral solids from the bitumen products are described. This review also brings forward the challenges and opportunities for future research regarding the characterization and handling of oil sands clay minerals.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.882
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.317
Teacher spread0.275 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations37
Published2019
Admission routes1
Has abstractyes

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