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Record W2967132386 · doi:10.1142/s0218625x19501592

THE DIFFERENCE OF THE MOLECULAR STRUCTURES BETWEEN DEFORMED SOFT AND HARD COAL AND THEIR INFLUENCES ON THE CHARACTERISTICS OF ADSORPTION METHANE

2019· article· en· W2967132386 on OpenAlexaff
Yanwei Liu, Peibo Li, Zhiming Lu, Weiqin Zuo, Hani S. Mitri

Bibliographic record

VenueSurface Review and Letters · 2019
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsMcGill University
FundersNational Natural Science Foundation of China
KeywordsAdsorptionCoalMethaneIsothermal processMolecular dynamicsDeformation (meteorology)Materials scienceThermodynamicsChemistryCrystallographyPhysicsComputational chemistryComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

This paper aims to study the influence of molecular structural difference between deformed soft and hard coal on methane adsorption and obtains the quantitative indexes that reflect the above influence degree. In this paper, XRD and FTIR experiments were adopted to determine the molecular structure of typical deformed soft and hard coals with different ranks. The molecules structural parameters of deformed soft and hard coal were compared and analyzed. Based on the above structural difference characteristic, four corresponding physical models of macromolecular structure are established. A simulation for deformed soft and hard coals was established to test out the behavior difference of adsorption and its mechanism; by using Materials Studio (MS) software, same scenario is also applied on the other four physical models listed above. Then, the isothermal adsorption methane experiments of four kinds coal samples were carried out to verify the above simulation results. The results show that the molecular structure of deformed soft and hard coals has significant differences, i.e. comparing with hard coal, deformed soft coal has smaller interlayer spacing [Formula: see text]; greater lateral sizes [Formula: see text]a, stacking heights [Formula: see text]c and the crystal nuclei sizes [Formula: see text]a/[Formula: see text]c. Deformed soft coal had a more orderly structure crystal nuclei, bigger crystal volume, the larger basic structure unit (BSU) and more flattened. Deformed soft coal has less oxygen-containing functional groups, lower fatty hydrocarbon content and more [Formula: see text]. These findings verified that dynamic metamorphism promotes aromatization and large molecular polycondensation of the coal, thus improving the aromatic degrees of the crystal nucleus. Due to the increasing of the lateral sizes being beneficial and the stacking heights being not conducive to the adsorption of the coal, the [Formula: see text]a/[Formula: see text]c was proposed as an indicator of the coal adsorption methane ability. The isothermal adsorption experiments show that the adsorption capacity of deformed soft coal with the same rank is greater than that of hard coal, which is in good consistency with the above research results. Also, the above experimental results provide a theoretical basis for the determination of coalbed methane content and the estimation of CBM.

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)0.001
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.213
Teacher spread0.203 · 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".

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Citations3
Published2019
Admission routes1
Has abstractyes

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