Enabling Real-time Estimation of Borehole Parameters in Deep Drilling
Why this work is in the frame
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Bibliographic record
Abstract
In this work, the evolution of friction factors across the depth of a horizontal wellbore, downhole rpm and downhole torque are obtained using a distributed drillstring model. The model has been field validated for the off-bottom dynamics and is used to estimate along-drillstring friction factors. This model was later extended to include a bit-rock interaction (BRI) law to obtain the downhole rpm and downhole torque while drilling and has been validated against the field data. The advantage of the model used in this work is that it employs an adaptive soft sensor, robust to capture the disturbances occurring at the downhole. Only the top-drive measurements are used to estimate friction factors (static and kinetic friction coefficients) and the downhole parameters using the soft sensor. Once the bit engages, the BRI takes precedence, and the model stops estimating the friction factors. The model is used to generate estimates for friction factors, the downhole rpm and BRI for a well located in North America. It was observed that in both the cases, the estimates match closely with that of the data considered.
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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 | 0.000 |
| 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 it