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Record W2012301391 · doi:10.1021/ie0612461

Compositional Changes and Rheological Properties of Athabasca Bitumen under CO<sub>2</sub>/O<sub>2</sub> Mixtures Associated with Carbon Dioxide Flooding/Sequestration Process

2006· article· en· W2012301391 on OpenAlexafffundabout
Na Jia, Gordon Moore, S. A. Mehta, E. Zalewski, Matthew Ursenbach

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2006
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsOil sandsAsphalteneAsphaltCarbon dioxideRheologyChemistryCokeEnhanced oil recoveryChemical engineeringCarbon fibersCarbon sequestrationMineralogyPetroleum engineeringGeologyMaterials scienceOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Research described in this paper was conducted in support of a more extensive study that has been ongoing at the University of Calgary to quantify the effect of the presence of carbon dioxide and oxygen mixtures in an Athabasca bitumen reservoir undergoing a carbon dioxide flooding/sequestration process. This paper concentrated on the compositional and rheological changes of Athabasca bitumen. The experiments were performed in the oscillating batch reactor using clean oil plus distilled water only. Viscosity was measured, and the compositional data were expressed in terms of the components maltenes, asphaltenes, and coke. In CO 2 /O 2 tests, the amounts of maltenes decreased with increasing reaction temperatures as a result of conversion to asphaltenes and coke. The data had direct applicability to recovery processes involving the injection of carbon dioxide containing oxygen as an impurity in the bitumen reservoir.

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 score0.004
Threshold uncertainty score0.008

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 integrity0.0000.000
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 head0.043
GPT teacher head0.267
Teacher spread0.224 · 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
Published2006
Admission routes3
Has abstractyes

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