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Record W3124259870 · doi:10.11575/prism/38594

Heterogeneous Catalytic H2S Oxidation within Supercritical CO2 for a New Sulfur Recovery Process

2021· dissertation· en· W3124259870 on OpenAlexfundno aff
Seung-Wook Lee

Bibliographic record

VenueOpen MIND · 2021
Typedissertation
Languageen
FieldEngineering
TopicIndustrial Gas Emission Control
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSupercritical fluidSulfurProcess (computing)Supercritical water oxidationCatalysisEnvironmental scienceProcess engineeringChemistryChemical engineeringComputer scienceEngineeringOrganic chemistryOperating system

Abstract

fetched live from OpenAlex

Many natural gas sources can have small amounts of acid gases (H2S and CO2). These acid gases are removed from the natural gas for the consumers due to toxicity and low heating value. Conventionally, acid gas is removed by absorption into aqueous amine solutions. This separated acid gas can then be injected into reservoirs for sequestration or can be further processed to convert the H2S to S8 by sulfur recovery. For low-quality acid gases (< 1% H2S in CO2), available methods to remove H2S results in waste rather than marketable sulfur. The remaining CO2 is at near atmospheric pressure, often being released to the environment due to high recompression costs. In this thesis, an alternative sulfur recovery process is investigated to produce marketable sulfur and high-pressure CO2 using post cryogenic separation of low-quality acid gases. Cryogenic distillation for acid gas separation is beneficial, resulting in a high-pressure liquid form of acid gas that does not require recompression. However, currently available low-pressure methods to convert H2S to S8 do not take the advantage of this high-pressure. Heterogeneous catalysis was utilized to convert H2S to S8 within the high-pressure CO2 in this thesis. For the high-pressure sulfur recovery process to be viable, several studies were completed in order to provide the best conditions to carry out the heterogeneous catalysis in high-pressure CO2. Sulfur solubility within high-pressure CO2 was initially studied to define the process conditions to maintain a single-phase product and subsequent separation of produced sulfur and CO2. The sulfur solubility study also allowed for the modelling of the sulfur fugacity coefficient within high-pressure CO2, which was utilized in a high-pressure Gibbs Free Energy Minimization routine to calculate the theoretical equilibrium conversion limit of H2S to S8. Heterogeneous H2S oxidation catalyses were experimentally carried out to verify calculated high-pressure thermodynamic conversion limits by the Gibbs Free Energy Minimization routine. Kinetic limitations were found at lower temperatures and higher pressures in pursuit of improving the thermodynamic conversion limit. The kinetics of the high-pressure heterogeneous H2S oxidation catalysis were studied to model the kinetic limitations of the reaction within the high-pressure CO2. The three models developed allow for high-pressure calculations of S8/CO2 solubility conditions, thermodynamic H2S equilibrium conversion limits, and minimum residence times required for the equilibrium conversion limits to establish. These models therefore enable practical industrial condition optimization to carry out the heterogeneous catalytic oxidation of H2S within high-pressure CO2.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.037
GPT teacher head0.311
Teacher spread0.273 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueOpen MINDSame topicIndustrial Gas Emission ControlFrench-language works237,207