Automatic fracture hit detection in low-frequency distributed acoustic sensing using a computer vision workflow
Why this work is in the frame
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Bibliographic record
Abstract
Distributed acoustic sensing (DAS) is increasingly used in hydraulic fracturing operations. The low-frequency band of DAS (LFDAS) contains high-resolution information of the far-field strain perturbations that can be used to constrain fracture geometry. Nevertheless, the interpretation of fracture hits (frachits) in LFDAS is mostly made using simple cumulative strain maps, which can be subjective and inefficient. We introduce a computer vision workflow to automate the detection and extraction of frac-hits. The workflow is applied to a real LFDAS dataset from Western Canada, and results demonstrate the effectiveness of the proposed methodology for automating the detection of fracture hits.
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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