Load cell system test experience: Measuring the vibrator ground force on land seismic acquisition
Bibliographic record
Abstract
Many methods have been developed in an attempt to expand the recorded bandwidth associated with Vibroseis surveys, particularly to boost the signal at high frequencies for improving seismic image resolution. However, the dominant frequency band still remains in the range of 10–60Hz and no significant improvement has been achieved at high frequencies in conventional 3D seismic surveys. Ground attenuation is one of possible limitations, and another is that during the course of the seismic acquisition, the vibrator may not actually be generating as much energy at high frequencies as expected. In this paper the letter possibility is addressed by using a Load Cell System to measure the force actually being generated by the servo hydraulic vibrator. We find that these measurements are not consistent with the drive signal from the vibrator electronic controller (weighted‐sum ground force estimate) therefore the conventional weighted‐sum ground force signal is deemed questionable.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 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".