Capturing H<sub>2</sub>S<sub>(g)</sub>by In Situ-Prepared Ultradispersed Metal Oxide Particles in an Oilsand-Packed Bed Column
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The current oil recovery and upgrading processes contribute directly to air pollution problems. H 2 S (g) is considered one of the major gaseous pollutants in oil recovery and processing. The aim of this study is to investigate the feasibility of methods aimed at the in situ capture of H 2 S (g) and its conversion into an environmentally neutral final product. In this work, we tested the sorption of H 2 S (g) into different in situ-prepared colloidal metal oxides in an oilsand matrix under recovery conditions, namely, ZnO, CuO, NiO, and Al 2 O 3 . In addition, the effect of metal oxide concentration and reaction temperature on H 2 S (g) reactivity was evaluated. Furthermore, commercially available ZnO nanoparticles were tested for comparison. Except for Al 2 O 3, all the considered metal oxides reacted stoichiometrically with H 2 S (g) at the selected temperature and pressure. An increase in the metal oxide concentration favored the removal of H 2 S (g) . The in situ-prepared ZnO ultradispersed particles were found to be more reactive than the commercial nanoparticles, as a result of their dispersion ability and intrinsic reactivity.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it