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Record W4409501447 · doi:10.5006/c2023-19555

Controlling Hydrogen Sulfide Using Acrolein in Produced Water and Mixed Phase Production

2023· article· en· W4409501447 on OpenAlexaff
Margaret R. Horton, Y.J. Lui, G. Rojas Guerrero, Zhengwei Liu, Brandon M. Stephens

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIndustrial Gas Emission Control
Canadian institutionsBaker Hughes (Canada)
Fundersnot available
KeywordsAcroleinHydrogen sulfideProduction (economics)Phase (matter)Hydrogen productionEnvironmental scienceSulfideHydrogenComputer scienceChemistryCatalysisSulfurOrganic chemistryEconomics

Abstract

fetched live from OpenAlex

Abstract Dissolved hydrogen sulfide in oilfield water or mixed production can cause a multitude of issues. While H2S can be efficiently scavenged in the gas phase with triazine or amine towers, dissolved sulfide in the water phase can be more challenging to remove, especially as the concentration of sulfide approaches parts per million (ppm) level. Using triazines is an option to scavenge dissolved sulfide but necessitates using large volumes of chemical, requiring high treatment rates, and potentially introducing new issues such as scaling due to pH increase. Acrolein is an effective oil and water-soluble sulfide scavenger most commonly used in batches of surface vessels or in downhole applications.1,2 It has also been used in North America via continuous application to scavenge low levels of H2S in both produced water and mixed phase production with few observed downstream side effects. This paper discusses historical usage of acrolein as well as recent novel applications showing marked performance benefit when compared to triazine products.

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)0.000
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 score0.191
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.033
GPT teacher head0.267
Teacher spread0.234 · 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
Published2023
Admission routes1
Has abstractyes

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