Multilateral Technology Coupled with an Intelligent Completion System Provides Increased Recovery in a Mature Field at BP Wytch Farm, UK
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Exploiting proven technology, improving functionality and adding intelligent completions, create an intelligent level 4 multilateral junction ideal for offering commingled, isolated, or deferred production. The junction offers re-entry access to the lateral and a low risk installation. This intelligent multilateral installation should pay for the completion and drilling of lateral to new target zone in estimated "saved" revenue from the mainbore, which is normally lost in a traditional sidetrack. The TAML level 4 junction was built around the proven concept of a hollow whipstock. The hollow whipstock technology has been significantly improved allowing for high-pressure capability before and after milling the window. An innovative concave geometry protects the concave face from milling process. After drilling the lateral, the liner is installed and cemented across the junction. The hollow whipstock and liner are perforated to regain production. Selective isolation is then achieved through an intelligent sliding sleeve completion system. The all-hydraulic intelligent completion system combines several new and existing technologies. A downhole hydraulic logic unit was run which minimized the number of surface control lines whilst allowing individual flow control devices to be addressed from surface. The logic unit also controlled the setting of the production packers. Hydraulic flow controls were included to allow selective isolation without intervention of the producing intervals. Shortly after the completion installation the flow control devices were activated resulting in the avoidance of a probable ESP workover. Results: This is the case history of the first intelligent TAML Level 4 multilateral installation at Wytch Farm. It will highlight the drivers that led to selecting multilateral and completion configurations, illustrate the installation sequences, and comment on continuous improvement efforts to ensure future successful installations of this technology.
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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 | 0.000 | 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 | 0.000 |
| 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