Bibliographic record
Abstract
Abstract Faults and fault zones commonly represent key geological factors in determining migration fairways and assessing the retention and leakage history for hydrocarbons in the subsurface. Although formation pressure data are sparsely acquired from within fault zones themselves, hydrodynamic analysis of faulted aquifers can be used as an indirect indicator of the fault zone hydraulic properties. Case studies from the foothills of Western Canada and the North West Shelf of Australia are used to define a workflow for hydrodynamic analysis in faulted strata and to identify the manifestation of fault zone hydraulic properties on adjacent aquifer pressure systems for various tectonic settings. Faults with significant displacement can form hydraulic barriers. In this case, fluid flow in the aquifer next to the fault is predominantly parallel to the structural grain, and a discontinuity occurs in the potentiometric surface for the aquifer being crosscut. Localized hydraulic communication (leakage), either across a fault in an aquifer or vertically along a fault zone between aquifers, tends to occur (1) where the fault zone bends out of plane from the dominant stress field; (2) where the main structural grain is crosscut by steeply dipping high-angle faults; or (3) where deformation is transferred from one fault zone to another through a relay zone or transfer fault. These are manifest by chemical or thermal anomalies and potentiometric highs or lows closed against the fault trace. Although conditions of fault zone conductivity tend to be localized, they can limit the trapping potential of structural closures by allowing the leakage and further migration of hydrocarbons.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".