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Record W4205129670 · doi:10.22215/etd/2021-14762

Remote Detection of Sodium and Potassium Atomic Emission Signatures as an Indicator of Liquid Carry-Over into Flare Systems

2021· dissertation· en· W4205129670 on OpenAlexaffabout
Zachary R. Milani

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnergy
TopicOil, Gas, and Environmental Issues
Canadian institutionsCarleton University
Fundersnot available
KeywordsFlareCarry (investment)SodiumPotassiumOil productionEnvironmental scienceUpstream (networking)Crude oilAnalytical Chemistry (journal)Environmental chemistryChemistryPhysicsAstrophysicsGeologyEngineeringPetroleum engineeringTelecommunications

Abstract

fetched live from OpenAlex

Carry-over of salt-laden aerosols into flares at upstream oil and gas production sites is a potentially important driver of adverse flare emissions. However, the frequency of this occurrence at upstream production sites is unknown. Sodium (Na) and potassium (K) are abundant in produced water samples and have persistent atomic emission signatures at 588/589 and 766/769 nm. A pair of spectrometer systems was developed to detect these signatures in flare flames as proof of liquid carry-over. Field measurements of 95 flares at upstream oil and gas production sites in North Dakota, Saskatchewan, and Ecuador found 72% had detectable Na or K signatures, suggesting liquid carry-over is surprisingly common. Analysis of the 76 North Dakota flares found that liquid carry-over was statistically correlated with younger wells and increased volumes of produced oil, water, gas and reported flared/vented volumes. These findings have importance implications for the likely severity of global flare emissions.

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 categoriesMeta-epidemiology (narrow)
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 score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.004
GPT teacher head0.235
Teacher spread0.231 · 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

Citations2
Published2021
Admission routes2
Has abstractyes

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