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Record W4409799824 · doi:10.11159/icgre25.193

Numerical Evaluation of Ground Deformation Due To Thermally Stressed Coal Measure Rock in Underground Coal Gasification

2025· article· en· W4409799824 on OpenAlexvenueno aff
Sandeep Panchal, Nikhil Ninad Sirdesai, Abhishek K. Mehadia, Sumant Mohanto

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and Geomechanical Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsUnderground coal gasificationCoalMeasure (data warehouse)Deformation (meteorology)Mining engineeringCoal gasificationGeologyEnvironmental scienceGeotechnical engineeringMaterials scienceWaste managementComposite materialEngineeringComputer science

Abstract

fetched live from OpenAlex

The global energy demand is rising while fossil fuel reserves are decreasing, prompting innovation in resource recovery technologies in the energy sector across the world.Underground coal gasification (UCG) is one such innovation, converting coal into synthetic gas within the earth's crust.However, UCG leaves large cavities, exposing surrounding strata to high temperatures, causing physical and geo-mechanical changes in rock and eventual subsidence.In this paper, a parametric study of UCG reactor cavities of different widths at depths of 100 m, 500 m, and 1000 m with coal seam thicknesses of 1 m, 4 m, 10 m, and 20 m is numerically simulated.Results show that, vertical displacement is directly proportional to the width of the UCG cavity and the thickness of the seam.Highest vertical displacement is found to be 1684.43mm in case of 50 m wide cavity with 20 m thick coal seam at 1000 m depth.The vertical displacement increased by 5.21% to 7.93%, and horizontal displacement by an average of 6.17%.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.756

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 head0.008
GPT teacher head0.199
Teacher spread0.191 · 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 designSimulation or modeling
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
Published2025
Admission routes1
Has abstractyes

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