The Liwan Gas Project: A Case Study of South China Sea Deepwater Drilling Campaign
Bibliographic record
Abstract
Abstract In September 2006, Husky Energy discovered the Liwan gas reservoir in its South China Sea Block 29/26. A 6th generation, deep water semi-submersible was contracted and subsequently drilled 26 deep water wells (700 - 1600 m water depth) consisting of 10 exploration, 10 appraisal and 6 development wells, tested 6 wells between November 2008 and November 2011. The exploration program discovered several additional sandstone, gas-bearing reservoirs two of which will also be commercialized. During the 1,011 days of drilling and testing activity, the rig and supporting onshore teams did not incur a lost time accident. The rig team drilled 61,593 m of hole below the mudline and ran the associated strings of casing. Non-productive time consumed 265 days (26.2%) consisting of 65 days waiting on weather, 147 days of rig repair, and 53 days of other unscheduled events.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".