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Record W7065638382

Electrochemical oxidation of sulfide ions in synthetic geothermal sour brine using coke electrodes

2009· dissertation· en· W7065638382 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2009
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsElectrolysisSulfideBrineHydrogen sulfideSulfurSour gasElectrochemistryRoastingAcid gas
DOInot available

Abstract

fetched live from OpenAlex

Geothermal sour brines produced during gas extraction are of environmental concern in Alberta, as they can contain hydrogen sulfide up to 60 mM. Current means of treatment have limited efficiency or are simply not feasible economically. Therefore, the common method of disposal is re-injection into geologically stable sites. The goal of the present research was to use the affordable material coke for the electrolysis of sour brines. Electro-oxidation of sulfide ions occurred with a two-phase zero order reaction, which was attributed to sulfur deposition on the anode. The minor oxidative products were found to be elemental sulfur and sulfate. An organic sulfonate was determined to be the primary oxidative product, but an exact structure is yet to be proven. The electro-oxidation was found to have comparable energy efficiencies to boron-doped diamond (BDD), Ti/IrO2-Ta2O5 and graphite, making it a possible alternative for industrial scale treatment of geothermal sour brine.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.010
GPT teacher head0.236
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), 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
Published2009
Admission routes1
Has abstractyes

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