Numerical Techniques Used for Predicting Subsidence Due to Gas Extraction in the North Adriatic Sea
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Bibliographic record
Abstract
Abstract This article describes the assessment and application of numerical techniques required for predicting gas production induced subsidence in the North Adriatic. Due to the complexity of the reservoir description and compaction mechanisms, the subsidence modeling required the combined use of reservoir and geomechanical simulators. Extensive validation of the modeling techniques was undertaken, including the level of coupling between the fluid flow and geomechanical solution. It was shown that a fully coupled solution impacted only the aquifer area, and accurate results could be obtained by an explicitly coupled technique. Other issues of importance discussed include quality control of the mesh generation, mesh compatibility, and correct interpolation of variables between the two modules. Finally, we discuss the impact that small overconsolidation (threshold) effects may have on the extent of the subsidence bowl.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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