Shear Wave Anisotropy Measurement from Azimuthally Focused LWD Sonic Tool
Why this work is in the frame
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Bibliographic record
Abstract
Abstract A new logging-while-drilling (LWD) logging tool has been developed to measure shear wave anisotropy and provide a wellbore acoustic image. The tool consists of a focused transmitter and six focused receivers. The transmitter fires rapidly and waveforms are acquired in the six receivers as the tool rotates in the borehole. Sixteen azimuthal waveforms are acquired for each receiver and processed to produce compressional and shear velocities of the formation as a function of azimuth. Anisotropy ratio and maximum/minimum stress directions are determined from the velocity images. Borehole images of the compressional and shear velocities of the formation are also obtained from the azimuthal velocities. This paper shows modeling data of the tool response in different anisotropic formations to assess the accuracy and viability of the measurement. The ability of the measurement to determine formation anisotropy at different borehole inclinations and the sensitivity of the borehole image to the formation acoustic properties are also discussed. Field examples of the anisotropy measurement and the borehole images obtained in vertical, deviated, and horizontal wells are presented.
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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 | 0.000 | 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) | 0.024 | 0.001 |
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