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Record W2011489915 · doi:10.1002/apj.78

Plant performance test for the de‐ethanizer overhead recycle (DOR) process

2007· article· en· W2011489915 on OpenAlexaboutno aff
Mark A. Trebble

Bibliographic record

VenueAsia-Pacific Journal of Chemical Engineering · 2007
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsOperabilityOverhead (engineering)MethaneWaste managementProcess engineeringExtraction (chemistry)Process (computing)EngineeringChemistryEnvironmental scienceComputer scienceChromatographyReliability engineeringOrganic chemistryElectrical engineeringOperating system

Abstract

fetched live from OpenAlex

Abstract The de‐ethanizer overhead recycle (DOR) process was successfully performance‐tested at the Joffre ethane extraction plant (JEEP) in Alberta, Canada, in May 2005. The test confirmed simulation results used in patenting the process and were slightly better than predicted. At the lowest test recycle rate, the CO 2 content in the produced ethane was reduced from 5.4 to 4.5 mole% with only a slight drop in ethane recovery from 90.4 to 90.0%. Increasing the recycle to a higher level reduced the CO 2 content to 4.1% at an ethane recovery level of 88.8%. The process showed excellent operability and was effective for reducing both CO 2 and methane from a commercial ethane product stream. Copyright © 2007 Curtin University of Technology and John Wiley & Sons, Ltd.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.085
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.202
Teacher spread0.196 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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