New Approach to Improve the Horizontal Drilling Reach
Bibliographic record
Abstract
Abstract In order to improve the cost efficiency of petroleum exploration and production, it is required to develop improved technology. The Reelwell Drilling Method (RDM) is a multi purpose drilling method with a unique arrangement for Extended Reach Drilling and Managed Pressure Drilling. A conventional drill string with a special inner string forms a dual concentric drill string, which is used to remove drill cuttings from the bottom of the well. A separate hydraulic fluid system is used to push the drilling assembly forward using fluid pressure from the surface. The development of RDM started in 2004 and has since then been through several full scale operations in Norway. In 2009 RDM was successfully used to directional drill the 8 ½" section of a land well. The proof of concept and the practical application on conventional drilling rigs has been verified, as well as the features of the system, such as: - Managed Pressure Drilling (MPD) – Unique isolation using a new downhole valve solution. - Very precise well pressure management and flow control (gain/loss). - Efficient hole cleaning and cutting removal from wellbore - Efficient hydraulic traction and WOB control. The RDM is currently planned to be used for drilling horizontal wells in Canada. The potential to increase the reach for horizontal wells is here further discussed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".