Extension of Gauge Length to Reduce Vibrations and Improve Drilling Performance
Bibliographic record
Abstract
Abstract During extended reach drilling operations at the Hibernia Platform, operated by Hibernia Management and Development Company Ltd. utilizing ExxonMobil Canada Ltd. resources, bit gauge length and profile have been systematically varied to improve drilling performance while using a standard bottomhole assembly (BHA) and bit design. Prior to developing the standard BHA design and implementing a global performance management process, the ExxonMobil Fast Drill Process, multiple bit runs were required to drill a typical high angle, 10,000-ft interval of 12¼-in. hole. Tool failure and bit damage caused by vibration resulted in multiple bit runs. In order to reduce vibrations and improve drilling performance, bit gauge length has been systematically increased in 1-in. increments while utilizing a standard BHA. Partially tapered gauge was used in conjunction with the increased gauge length to allow directional control. This paper presents the results of progressing from a 4-in. non-tapered gauge bit to a 5-, 6-, and 7-in. partially tapered gauge bit from 2005 to 2009. Mechanical specific energy (MSE), vibration, rotary steerable wear, and directional response data is presented to show the impact of the incremental changes in gauge length over a group of seven wells. The tapered profile and increased gauge length provided comparable directional response with significantly improved drilling performance, resulting in multiple field record rates of penetration (ROPs) and bit run lengths.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".