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Record W2523814944

Development of Carbon Sequestration Options by Studying Carbon Dioxide-Methane Exchange in Hydrates

2015· article· en· W2523814944 on OpenAlexaboutno aff
Kristine Horvat

Bibliographic record

VenueAcademic Commons (Stony Brook University) · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsMethaneCarbon dioxideCarbon sequestrationEnvironmental scienceCarbon fibersCarbon dioxide reformingChemistryEnvironmental chemistrySyngasMaterials scienceOrganic chemistryHydrogen
DOInot available

Abstract

fetched live from OpenAlex

Gas hydrates form naturally at high pressures (>4 MPa) and low temperatures (<4 oC) when a set number of water molecules form a cage in which small gas molecules can be entrapped as guests. It is estimated that about 700,000 trillion cubic feet (tcf) of methane (CH4) exist naturally as hydrates in marine and permafrost environments, which is more than any other natural sources combined as CH4 hydrates contain about 14 wt% CH4. However, a vast amount of gas hydrates exist in marine environments, which makes gas extraction an environmental challenge, both for potential gas losses during extraction and the potential impact of CH4 extraction on seafloor stability. From the climate change point of view, a 100 ppm increase in atmospheric carbon dioxide (CO2) levels over the past century is of urgent concern. A potential solution to both of these issues is to simultaneously exchange CH4 with CO2 in natural hydrate reserves by forming more stable CO2 hydrates. This approach would minimize disturbances to the host sediment matrix of the seafloor while sequestering CO2. Understanding hydrate growth over time is imperative to prepare for large scale CH4 extraction coupled with CO2 sequestration. In this study, we performed macroscale experiments in a 200 mL high-pressure Jerguson cell that mimicked the pressure-temperature conditions of the seafloor. A total of 13 runs were performed under varying conditions. These included the formation of CH4 hydrates, followed by a CO2 gas injection and CO2 hydrate formation followed by a CH4 gas injection. Results demonstrated that once gas hydrates formed, they show “memory effect†in subsequent charges, irrespective of the two gases injected. This was borne out by the induction time data for hydrate formation that reduced from 96 hours for CH4 and 24 hours for CO2 to instant hydrate formation in both cases upon injection of a secondary gas. During the study of CH4-CO2 exchange where CH4 hydrates were first formed and CO2 gas was injected into the system, gas chromatographic (GC) analysis of the cell indicated a pure CH4 gas phase, i.e. | all injected CO2 gas entered the hydrate phase and remained trapped in hydrate cages for several hours, though over time some CO2 did enter the gas phase. Alternatively, during the CH4-CO2 exchange study where CO2 hydrates were first formed, the injected CH4 initially entered the hydrate phase, but quickly gaseous CO2 exchanged with CH4 in hydrates to form more stable CO2 hydrates. These results are consistent with the better thermodynamic stability of CO2 hydrates, and this appears to be a promising method to sequester CO2 in natural CH4 hydrate matrices. The macroscale study described above was complemented by a microscale study to visualize hydrate growth. This first-of-its-kind in-situ study utilized the x-ray computed microtomography (CMT) technique to visualize microscale CO2, CH4, and mixed CH4-CO2 hydrate growth phenomenon in salt solutions in the presence or absence of porous media. The data showed that under the experimental conditions used, pure CH4 formed CH4 hydrates as mostly spheres, while pure CO2 hydrates were more dendritic branches. Additionally, varying ratios of mixed CH4-CO2 hydrates were also formed that had needle-like growth. In porous media, CO2 hydrates grew, consistent with known growth models in which the solution was the sediment wetting phase. When glass beads and Ottawa sand were used as a host, the system exhibited pore-filling hydrate growth, while the presence of liquid CO2 and possible CO2 hydrates in Ottawa sand initially were pore-filling that over time transformed into a grain-displacing morphology. The data appears promising to develop a method that would supplant our energy supply by extracting CH4 from naturally occurring hydrates while CO2 is sequestered in the same formations. | 303 pages

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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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.350
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.233
Teacher spread0.200 · 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.

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
Published2015
Admission routes1
Has abstractyes

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