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Record W2204501828 · doi:10.2495/cmem050101

Heavy Petroleum Upgrading ByMicrowave Irradiation

2005· article· en· W2204501828 on OpenAlexaboutno aff
A. J. Britten, V. Whiffen, Adango Miadonye

Bibliographic record

VenueWIT transactions on modelling and simulation · 2005
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAsphaltenePetroleumIrradiationChemistryPetroleum productLight crude oilAPI gravityBoiling pointBoilingEnvironmental scienceWaste managementPulp and paper industryOrganic chemistryNuclear physics

Abstract

fetched live from OpenAlex

The continuous depletion of conventional crude reserves underscores the interest of researchers to upgrade heavy petroleum to light oils. Historically conversion of heavy petroleum to synthetic crude has been costly, with the generation of huge waste by-products in the form of coke. In this study we investigated the use of microwave irradiation in the upgrading of heavy petroleum. Five heavy petroleum samples from different regions in Alberta were used, with light and heavy straight run naphthas as the hydrogen rich substrates. GC/MS analysis showed a general increase in lower boiling point fractions for irradiated samples, and this is particularly more pronounced for samples containing hydrogen rich substrates. Asphaltenes and heavy hydrocarbons were prevalent in samples with longer irradiation period. The overall results showed that beyond an optimum irradiation condition there was abnormal increase in the product viscosity, asphaltenes composition and the amount of higher molecular weight fractions.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.671
Threshold uncertainty score0.661

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 head0.020
GPT teacher head0.245
Teacher spread0.225 · 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 designSimulation or modeling
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

Citations5
Published2005
Admission routes1
Has abstractyes

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