Ultradeep Extended-Reach Stimulations
Bibliographic record
Abstract
Abstract Recent advances in drilling technology have resulted in longer horizontal wells being drilled to more efficiently exploit reservoirs. However, these long open hole horizontals are often problematic when using coiled tubing as the well intervention conveyance system during stimulation. Coiled tubing, a commonly used intervention tool for open hole horizontals, is considerably less stiff than jointed drill pipe and cannot reach TD on many wells due to friction. Assistance from friction reducers, well tractors or other devices have helped, but can be potentially damaging, expensive and/or high risk. This poster details the use of a simple agitation tool placed in the coiled tubing bottom hole assembly during the stimulation. This results in decreased friction which in turn increases reach for coiled tubing thereby allowing full horizontal open hole stimulation treatment. The case study that is presented on the performance of the agitation tool used in coiled tubing stimulations in long horizontal open hole sections of a hot, sour reservoir with a total measured depth up to 7 kilometers. Suncor Energy has utilized this process in the development of its Panther River reservoirs in the Western Canadian Sedimentary Basin with excellent results. Benefits discussed include reduced completion cost and reduced environmental impact.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".