Double Shoulder Connection Technology Enables Exploration and Production of Ultra-Deep Prospects – Case Histories and Lessons Learned in Xinjiang, China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract China oil and gas operators are more and more engaged in the exploration and production of much deeper oil and gas prospects that are pushing the boundaries and limits of the traditional drill stem. A high number of ultra-deep wells (above 7 000 meters) are being drilled in the Xinjiang area. In this part of China, there is a need to improve the hydraulic and mechanical performances of the drilling tubulars used in both large and slim hole size intervals. A key feature in these products’ performances is the rotary shouldered connection (RSC). API RSC typically requires larger profiled tool joints to provide acceptable torque and tension capacity. However, this increase s pressure losses and restricts fishability. Double shoulder connection (DSC) technology has been successfully used to address this mutually exclusive need for both torque and hydraulics. CNPC has greatly benefited from their decision to use a first generation double shoulder connection (1st gen DSC) on various sizes of drilling tubulars to successfully drill the deepest exploration well in the Jungar basin as well as numerous exploration and production wells in the Tarim basin. This paper will first describe the DSC technology, how it contributes to the improved drilling performance, and will present supportive case histories. The 1st gen DSC performed very successfully. Looking ahead, deeper prospects are on the horizon and further enhancements in drill pipe and DSC technology will be necessary. Prospective future options will also be discussed in this paper.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it