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Record W2073274629 · doi:10.2118/86932-ms

Application of a Reverse-Emulsion-Breaker at a SAGD Pilot Plant in Northern Alberta

2004· article· en· W2073274629 on OpenAlexaboutno aff
Sanyi Wang, Eric Axcell, Robert W. Cleary, Virgil Little, Lon Pinkoski

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsEmulsionTurbidityProduced waterEnvironmental scienceCircuit breakerWaste managementWater coolingWater qualityPilot plantChemical plantBottleProcess engineeringPulp and paper industryPetroleum engineeringEnvironmental engineeringEngineeringGeologyChemical engineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract For an extended period of time water-quality problem was experienced from the water leg of the primary treater, so-called high-temperature separator (HTS), which resulted in limited water-disposal in a SAGD facility near Fort McMurray, Alberta. A reverse emulsion breaker was recommended based on bottle testing data and a chemical application program was developed to clarify the produced water and to remove this major bottleneck of the system operation. Bottle testing a wide range of reverse emulsion breakers with the fresh reverse emulsion from this SAGD facility resulted in two products that were plant tested at various locations in the plant and correlated with the chemical performance. During lab testing the quality of the water resolved from the reverse emulsion was determined both qualitatively (visual observation with a ranking card) and quantitatively (with a turbidity meter) for a range of chemicals, chemical dosages and agitation levels. The method of chemical application has also proven to be as important as chemical itself. Chemical injection directly upstream of the HTS did not perform well, but moving it farther upstream from the HTS produced clean water within several hours from the commencement of the plant test. The percentage of water recycled from the produced water tank into steam generation was increased from 20% to 80%, thus not only removing the bottleneck but also presenting huge savings to the facility. It was demonstrated that working together with the SAGD operation staff to modify the chemical program would give mutual benefits to both parties involved.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.999

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)0.0010.001

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 head0.216
Teacher spread0.207 · 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

Citations9
Published2004
Admission routes1
Has abstractyes

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