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Record W2754924817

Plant Performance Test for the Deethanizer Overhead Recycle (DOR) Process

2006· article· en· W2754924817 on OpenAlex
MA Trebble

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueChemeca 2006: Knowledge and Innovation · 2006
Typearticle
Languageen
FieldChemical Engineering
TopicCatalysts for Methane Reforming
Canadian institutionsnot available
Fundersnot available
KeywordsOperabilityMethaneWaste managementOverhead (engineering)Extraction (chemistry)Recovery rateProcess (computing)Process engineeringEngineeringEnvironmental scienceChemistryEnvironmental engineeringChromatographyComputer scienceReliability engineeringOrganic chemistryElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

The Deethanizer Overhead Recycle (DOR) process was successfully performance tested at the Joffre Ethane Extraction Plant (JEEP) in Alberta, Canada in May of 2005. The test confirmed simulation results used in patenting the process and were slightly better than predicted. At the lowest test recycle rate the CO2 content in the produced ethane was reduced from 5.4 mole % 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 CO2 content to 4.1 % at an ethane recovery level of 88.8%. The process showed excellent operability and was effective for reducing both CO2 and methane from a commercial ethane product stream.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.017
GPT teacher head0.260
Teacher spread0.243 · 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