Maximizing the Field Value of Edvard Grieg Using 4D Surveillance – The Feasibility Phase
Bibliographic record
Abstract
Summary Time lapse seismic and 4D reservoir surveillance technology is a well-developed and extensively used field monitoring technique in the North Sea. Today, a number of fields use various 4D technologies from repeat streamer seismic surveys (e.g. Norne, Schiehallion, Ringhorne, Gullfaks) to highly advanced trenched permanent reservoir monitoring (PRM) systems (e.g.Valhall, Ekofisk, Clair, Snorre and Grane) in order to extend and extract as much value as possible over the life of the field ( Watts 2013 ). The benefits of 4D seismic in extending field life, complex understanding of the field, reservoir monitoring and increasing field recovery factor are all well understood and well established on many North Sea oil fields ( Fayemendy et al. 2012 ).
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".