Development of Low Risk, High Level TAML Level 5 Multilaterals in the South China Sea
Bibliographic record
Abstract
Abstract The ConocoPhillips Xijiang field in the South China Sea requires multilaterals to increase oil production from a limited number of available platform slots. Further development in this area depends heavily on slot recovery to maximize production and minimize hole collisions caused by frequent sidetracking in cluster wells. This paper discusses a novel method used to install low-risk multilaterals on these wells. This method reduced the risk and time associated with TAML (Technology Advancement of Multilaterals) Level 5 multilateral completions. By definition, a TAML Level 5 multilateral provides hydraulic isolation at the junction by using straddle tubular run as part of the final completion. In the past, constructing Level 5 junctions required the lateral liner to be cemented and later washed over in order to remove the portion of lateral liner left in the mainbore. This complex and time consuming process created additional debris, which had to be managed, along with potentially unstable junctions. The method discussed in this paper eliminates the need for this risky washover operation, resulting in lower risk and less installation time. This new Level 5 multilateral installation method is based on proven tools and techniques currently used to create Level 3 multilaterals. This further reduces the potential risk and specialized equipment requirements of the multilateral system. This new type of Level 5 multilateral was designed to allow for maximum flexibility of the final completion assembly. The completion design provides for control of the laterals via slickline by making the Level 5 system compatible with the 2 7/8-in. bypass tubing around an electrical submersible pump.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".