Debris Management System for Pressure-Controlled Wellbore Drilling and Intervention Operations
Bibliographic record
Abstract
Abstract In shale gas horizontal wells with multiple intervals completed, the predominant completions method has been multistage fracturing while plugging with drillable bridge plugs and jet perforating the cemented casing. Typically the bridge plugs are drilled out under pressure with coiled tubing. The ability to optimize drilling/milling parameters while drilling out with pressurized coiled tubing has been hampered by the lack of information in the coiled tubing cab about the speed that debris is generated, the size of debris generated, and whether the circulation fluid properties and rate are sufficient to remove the debris from the hole. In response to dealing with challenges of drilling out bridge plugs and performing other pressurized intervention work in long horizontals, a new surface debris management system was developed and successfully tested. Using the new system, a clearer picture emerges regarding the conditions being created down hole. This system has aided in optimizing drilling and circulating parameters and has resulted in faster bridge plug drill outs, cleaner casing and fewer drilling and intervention problems.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".