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Hydrothermal Treatment of Oilsands Bitumen Froth at 400 °C: Influence of Minerals and Water on Hydrogen Transfer, Cracking, and Addition Reactions

2024· article· en· W4390586661 on OpenAlexafffund
João F. P. Bassane, Arno de Klerk

Bibliographic record

VenueEnergy & Fuels · 2024
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsChemistryCrackingHydrogenChemical engineeringPyrolysisMineral waterThermal treatmentOrganic chemistryWaste managementMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

Following prior evidence that water and mineral solids influenced the physicochemical properties of the products derived from the visbreaking of bitumen froth at 400 °C, the present study aimed to explore the effect of water and minerals on the reaction chemistry taking place during the thermal conversion of froth. The current study investigated the relative impact of water and mineral solids on hydrogen transfer, cracking, and addition reactions during the thermal treatment of froth at 400 °C. α-Methylstyrene (AMS) was employed as a probe molecule, and selected chemical species identified in the feed and thermally converted products were monitored. Water had a major effect on suppressing the conversion of AMS, whereas the hindrance of AMS conversion by mineral solids seemed to be minor. Substantial evidence of hydrogen and methyl transfer, hydration, and addition reactions was observed through the formation of specific AMS-derived products. The potential free radical and cationic pathways for the conversion of AMS were evaluated based on the product composition of the different reaction systems. There was an indication that the availability of hydrogen donors also influenced the conversion pathways of AMS. Both water and mineral solids favored the extent of hydrogen transfer during the treatment. However, their specific effect on promoting transfer hydrogenation could not be determined. AMS was not a good probe for cracking under the conditions of this study. Evidence of hydration was observed in the water-containing systems. The presence of water suppressed the formation of addition products, resulting in an overall formation of these products that was half of that observed in the absence of water. The presence of minerals during the treatment seemed to have a minor impact on the selectivity profile of addition products, although it had no apparent influence on the overall formation of these products.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.008
GPT teacher head0.226
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2024
Admission routes2
Has abstractyes

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