UNIVERSITY OF CALGARY New Measurement-While-Drilling Surveying Technique Utilizing Sets of Fiber Optic Rotation Sensors
Bibliographic record
Abstract
Horizontal drilling processes in the oil industry utilize directional measurementwhile-drilling (MWD) instruments to monitor the position and the orientation of the bottom hole assembly (BHA). The present directional monitoring equipment includes three accelerometers and three magnetometers mounted in three mutually orthogonal directions. At some predetermined surveying stations, the accelerometers measure the Earth gravity components to determine the BHA inclination and tool face angles while the magnetometers measure the Earth’s magnetic field to determine the BHA azimuth. The massive amount of ferrous and steel materials around the drilling rig, the presence of downhole ore deposits, the drill string-induced interference and the geomagnetic influences can all have a deleterious impact on the magnetometer measurements. Therefore, this research proposes the use of fiber optic gyroscopes (FOGs) to replace the magnetometers. A quantitative feasibility study has shown that the FOG has excellent immunity to the severe downhole shock and vibration forces. This thesis aims at developing new MWD surveying methodologies based on the
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.011 |
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".