Fluid pressure fluctuations and the seismic signature of a fault-controlled fluid migration pulse
Bibliographic record
Abstract
Fluids in the crust may build pressure through a variety of mechanisms. This buildup can activate nearby faults, which then serve as conduits for fluid flow and as valves for pressure release. The rapid pressure drop promotes mineral precipitation and fault sealing, allowing the cycle to restart. While evidence of this cyclical interplay between faults and fluids is abundant in exhumed faults, whether these processes can be identified in the seismological record remains unknown. Here, we have detected a complete sequence of fluid pressure build-up, fluid migration through local faults, and pressure release by means of a joint magnetotelluric and seismicity survey in the Southern Andes. We identified intense seismicity along a previously unmapped WNW-striking fault, with seismic swarm activity concentrated at the edge of a low-resistivity crustal zone, interpreted as a fluid reservoir. Hypocenters delineate two fault planes from the reservoir toward higher-resistivity crust. We linked distinct seismicity patterns to each sequence stage: fluid pressure buildup is marked by relatively high b -values (1.2–1.4) and low magnitudes ( M L < 1.5 ), while fluid migration and pressure release are characterized by a sudden drop in b -values (<1). Our findings capture the seismic signature of a fluid migration pulse along faults, linking active fault-fluid interactions with long-term geological evidence of fluid compartmentalization and cyclical along-fault fluid flow.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".