A Mineral-Composition Dependent Fracture Numerical Model of Thermally Treated Shale Gas Reservoirs
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Thermal treatment of shale gas reservoirs can vaporize water, accelerate gas desorption, and induce micro-fractures in shale matrix, which is a potential method to enhance shale gas productivity. However, few studies are focused on the thermal micro-cracking behavior of shale, especially at the mineral-scale. Furthermore, the effect of mineral composition on micro-fracture generation and shale permeability alternations are not fully understood in the current research results. In this work, a mineral-dependent fracture numerical model of thermally treated shale gas reservoirs is proposed. This model couples thermally induced stress in minerals, permeability enhancement, fluids flow and energy conservations in shale. A novel constitutive model based on volumetric constraint to relate stress and strain of minerals in shale is applied in the numerical simulation process. Comparison to experimental results demonstrates the reliability and robustness of the presented computation model. The proposed simulation method in this work is a powerful tool to link the macro-scale characteristics and thermally induced micro-fracture of shale.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it