Case History: Efficient Coiled-Tubing Sand Cleanout in a High-Angle Well Using a Complete Integrated Cleaning System
Bibliographic record
Abstract
Abstract As in many oil fields, the primary coiled-tubing (CT) operation in the Kuparuk River Unit on the North Slope of Alaska is a wellbore cleanout. These cleanouts remove produced fines, fracturing sands, scales, and paraffin. As drilling technology advances and wells become longer and more deviated, the process required to clean out these highly deviated wells becomes more complicated. One such case, West Sak Well, is an undulating horizontal well in unconsolidated West Sak sands with a low bottomhole pressure (BHP). During previous attempts with standard cleanout methods, returns were lost during the job and the final results were less than optimal. Post-job reviews of the unsuccessful conventional cleanouts illustrated where previous approaches were insufficient. This paper describes the use of an integrated cleanout system that efficiently addressed all the challenges of the West Sak Well, which resulted in a successful cleanout returning the well to production. This integrated system approach to wellbore cleanouts was recently commercialized, and this well was the first job using the system in Alaska.
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How this classification was reachedexpand
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) | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".