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Record W2327865121 · doi:10.1021/ef101069m

Production of Light Oil by Oxidative Cracking of Oil Sand Bitumen Using Iron Oxide Catalysts in a Steam Atmosphere

2010· article· en· W2327865121 on OpenAlexaboutno aff
Eri Fumoto, Shinya Sato, Toshimasa Takanohashi

Bibliographic record

VenueEnergy & Fuels · 2010
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
FundersMinistry of Economy, Trade and Industry
KeywordsCokeCatalysisChemistryResidual oilLight crude oilRaw materialIron oxideKeroseneCrackingPetroleum cokeFluid catalytic crackingChemical engineeringMetallurgyMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Catalytic cracking of Canadian oil sand bitumen was performed using zirconia−alumina−iron oxide catalysts at 450−500 °C in a steam atmosphere. The heavy-oil fraction of bitumen was oxidatively cracked to produce light oil, corresponding to gasoline, kerosene, and gas oil, with a boiling point of <350 °C. However, some coke was generated after the reaction of bitumen, whereas coke was not generated from conventional residual oil at the same reaction conditions. To suppress the coke generation, reaction conditions were changed on the basis of the reaction mechanism. When the time factor (ratio of the catalyst weight/feedstock flow rate) increased, large amounts of active oxygen species were generated from steam and these species suppressed the coke formation. The largest yield of light oil was approximately 50 mol % C with no coke formation for reaction conditions of a time factor of 3.6 h at 450−500 °C and 2.0 h at 500 °C.

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 score0.028
Threshold uncertainty score0.701

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 head0.006
GPT teacher head0.226
Teacher spread0.219 · 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

Citations47
Published2010
Admission routes1
Has abstractyes

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