Coupled Geomechanical Modeling for Underground Coal Gasification
Bibliographic record
Abstract
Abstract Simulation of underground coal gasification (UCG) is an integrated approach involving a Thermo-Hydro-Chemical-Mechanical process (THCM). The key is to understand the surface subsidence in the UCG process associated with the cavity growth and roof rock collapse during the coal seam combustion. However, the interaction between the mass transports and thermal-mechanical induced cavity and spalling cannot be fully captured by a conventional flow simulator without coupling geomechanics. The literature has documented numerous methods of modeling the coupled Thermal-Chemical-Geomechanical process for UCG. The objective of this paper is to summarize the current research status and future developments of coupled geomechanical modeling approach for the UCG process, followed by a case study. Geochemistry and chemical reactions are modeled in the thermal reservoir simulator with a well-defined Controlled Retraction Injection Point (CRIP) configuration. A modular coupling approach is utilized in which geomechanical module calculates the changing of the stress and strain due to the changing of pressure and temperature, updating the porosity and permeability simultaneously. Finally, surface subsidence is investigated and limitations are also identified for future development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".