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Asphaltenes Aqueous Conversion to Humic and Fulvic Analogs via Oxy-Cracking

2016· article· en· W2410523331 on OpenAlexafffundabout
M. Ashtari, Lante Carbognani, Pedro Pereira‐Almao

Bibliographic record

VenueEnergy & Fuels · 2016
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAsphalteneChemistryCrackingAqueous solutionChemical engineeringOrganic chemistryDissolutionAqueous two-phase system

Abstract

fetched live from OpenAlex

Asphaltenes surplus production in northern Alberta facilities as a result of heavy oil upgrading incentivizes searching for alternative processes to coking or gasification, with less environmental footprint and/or lower costs. Oxy-cracking of asphaltenes in liquid phase under alkali conditions could be a new approach to creating higher value products. In the present study, asphaltene particles/drops were solubilized in water with the ultimate intention of reducing their molecular weight, converting them to analogs of humic substances with potential applications as soil cofertilizers or other industrial applications. For evaluating the feasibility of solubilizing asphaltene particles by oxy-cracking, experiments were done in a batch reactor to study the parameters maximizing the solubilization toward liquid products: temperature, residence time, pressure, base effect, asphaltenes mass, and stirring speed. The results showed that temperature and residence time are the two parameters affecting reaction the most, being the optimum values 180–210 °C and 1–2 h, respectively. The intermediate product of asphaltenes oxy-cracking reaction is water-soluble asphaltenes (WSA), and the final product is CO 2 . The water solubilized products were found to contain organic carboxylic, carbonyl, phenolic, and sulfonic functions, responsible for their dissolution in water. At less severe conditions, WSA had characteristics similar to humic analogs; but with increasing reaction severity, products aromaticity increased and lower molecular weight components (fulvic analogs) were formed.

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 score0.024
Threshold uncertainty score0.047

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 head0.007
GPT teacher head0.219
Teacher spread0.212 · 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

Citations17
Published2016
Admission routes3
Has abstractyes

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