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Record W2621170624 · doi:10.1134/s0965544117050036

Ethanol enhanced aquathermolysis of heavy oil catalyzed by a simple Co(II) complex at low temperature

2017· article· en· W2621170624 on OpenAlexaff
Guanzhen Chen, Weihua Yuan, Yun Bai, Wenhui Zhao, Xuehong Gu, Junyan Zhang, Ayodeji Jeje

Bibliographic record

VenuePetroleum Chemistry · 2017
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
FundersEducation Department of Shaanxi ProvinceNational Science Foundation
KeywordsCatalysisViscosityChemistryEthanolHeteroatomOil viscosityChemical engineeringOrganic chemistryMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Co(II) coordination complex was synthesized, characterized, and then used in aquathermolysis of heavy oil as catalyst at relatively low temperature, 180°C. The effects of water amount, catalyst concentration, ethanol amount on aquathermolysis were investigated in this work. The crude oil before and after aquathermolysis was fully characterized, and the mechanism of viscosity reduction was discussed at last. The results show that heavy oil can undergo aquathermolysis in the presence of water and the Co(II) complex at low temperature. Furthermore, it was found that ethanol can enhance the catalytic aquathermolysis. Besides, the catalytic aquathermolysis could not only decrease the viscosity of heavy oil, but also remove some heteroatoms, finally make the flow properties better and the quality upgraded. The experimental results prove that the combination of catalyst and ethanol has a synergetic effect, which contributes to the great reduction of viscosity and improvement of heavy oil quality.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.255
Teacher spread0.245 · 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 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

Citations25
Published2017
Admission routes1
Has abstractyes

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