Oxidation of sulfide ion in synthetic geothermal brines at carbon‐based anodes
Bibliographic record
Abstract
Abstract Geothermal brines associated with natural gas extraction present an environmental problem because of the need to avoid the escape of toxic and odorous hydrogen sulfide. In this work, carbon‐based anodes (including graphite, granulated activated carbon (GAC), and industrial coke) were used in the electrochemical oxidation of sulfide ion in synthetic geothermal brines in both batch and flow cells, with a view to remediating this troublesome contaminant. Experiments were carried out in alkaline solution (to prevent volatilisation of H 2 S), in the absence or presence of added chloride ion and naphthenic acids (NAs). The product spread was variable due to the large number of competing reactions, including formation of polysulfide, oxidation to sulfate (either directly or via hypochlorination), sacrificial anode oxidation combined with sulfide trapping, and Kolbe oxidation of NAs combined with sulfide trapping. From the technological perspective, the product distribution is immaterial, because sour brines contain such high concentrations of inorganic and naphthenate salts that reinjection of the treated brine will always be required. The most efficient systems, on the basis of charge per mol sulfide remediated, employed packed bed reactors with ground coke or GAC anodes. In these reactors, the disappearance of sulfide ion was promoted, as expected, at low flow rate and high current. However, the packed beds were limited to low applied current, in order to avoid compromising the electrical conductivity of the anode bed by the production of gas (O 2 ).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".