Multilateral Wells Reduce CAPEX of Offshore, subsea Development in Australia’s Northwest Shelf
Bibliographic record
Abstract
Abstract Multilateral technology reduces the number of production well slots required to effectively drain a reservoir, resulting in time and cost savings. Having fewer discrete subsea wellheads translates into a major reduction of investment capital in offshore environments. Reducing the cost of the subsea infrastructure is the primary benefit of multilateral well architecture, but additional benefits include reduced top-hole drilling costs, reduced project execution time, accelerated production, increased productivity index and fewer rig moves. To take advantage of the benefits, the appropriate multilateral technology must be selected to avoid introducing additional risk and non-productive time (NPT) to the project. The multilateral junction system that meets the requirements of the wells on the Northwest Shelf of Australia has a proven track record in subsea installations. For this application, a TAML Level 5 system is required to provide hydraulic and mechanical isolation of the connected wellbores. Over the past 10 years, TAML Level 5 multilateral technology has been used extensively in the North Sea, whereas the Northwest Shelf of western Australia saw its inauguration in the southern hemisphere. This paper discusses the lessons learned from nine horizontal TAML Level 5 dual-lateral wells drilled offshore in the Van Gogh field. The Van Gogh field provides an excellent example of a field that was developed from start to finish with multilateral technology as the enabler. The project was successfully completed in the second quarter of 2009 with a significantly lower capital investment than would have been required to develop the field with single horizontal wells.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".