MétaCan
Menu
Back to cohort
Record W2911993598 · doi:10.1061/40860(192)33

The Geomechanical Behavior of Australian Black Coal under the Effects of CO <sub>2</sub> Injection: Uniaxial Testing

2006· article· en· W2911993598 on OpenAlexaboutno aff
M. Mehic, P.G. Ranjith, S.K. Choi, Asadul Haque

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsnot available
Fundersnot available
KeywordsCoalSofteningCarbon sequestrationPetroleum engineeringPermeability (electromagnetism)Acoustic emissionCoal miningEnvironmental scienceMining engineeringMethaneGeotechnical engineeringGeologyMaterials scienceCarbon dioxideWaste managementEngineeringComposite materialChemistry

Abstract

fetched live from OpenAlex

In recent times sequestration of carbon dioxide (CO2) into unmineable coal seams has been investigated extensively, including field trials in USA, Canada, Japan and Poland. Economic feasibility studies have indicated that the cost of sequestration can be offset to some extent by harvesting the methane (CH4) in the coal seam. Besides issues with injectivity of low permeability coals, the long term safety, such as potential leakage of the sequestered gas, needs to be assessed. This requires an understanding of the geomechanical behavior of black coal. Some initial studies suggested that CO2 may have a softening effect on coal. This paper outlines some experimental results obtained in the investigation of the effects of CO2 on the strength and deformation properties of black coal. Preliminary laboratory results obtained from acoustic emission and standard stress strain plots indicate a softening effect of CO2 on black coal under uniaxial compression test conditions.

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)0.000
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 score0.062
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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

Citations19
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicRock Mechanics and ModelingFrench-language works237,207