FULL SCALE IMPLEMENTATION OF STATE-OF-THE-ART MECHANICAL OIL SPILL RESPONSE TECHNOLOGY ON THE NORWEGIAN CONTINENTAL SHELF
Bibliographic record
Abstract
ABSTRACT The Norwegian Clean Seas Association for Operating Companies (NOFO) has recently completed a comprehensive Research & Development (R&D) program. The main objective of this program was to provide a basis for decisions regarding selection of equipment in the next generation of NOFO's oil spill response. The R&D program was initiated in 2000 and the results from the preliminary phase of the program were presented at the 2003 IOSC in Vancouver. In the summer of 2003, NOFO successfully carried out an Oil-on-water exercise. This exercise encompassed a full scale testing of new equipment developed in the second phase of the program. A series of experiments were performed where oil was released to the sea and subsequently recovered. In total, 170 cubic meters of oil emulsion was released, and approximately 80 % recovered. Based on the experiences from the Oil-on-water exercise, NOFO implemented Phase 3 of the R&D program. This phase comprised of redesign and modifications to two types of booms, and of a high capacity skimmer. Final testing of the Phase 3 results was completed in the first quarter of 2004, and concluded that the design criteria were met. Concurrently, NOFO has embarked on a three-year replacement plan, in which existing booms and skimmers are replaced by the new equipment types. Phase 2 included a feasibility study on enhanced detection of oil spills under conditions of low light and reduced visibility. Based on results from this study, a project has been initiated to develop and implement a ship based radar system for detection of oil spills. This project is considered the first step towards the goal of achieving an oil spill response that is independent of light and visibility. This paper outlines the conclusions of the R&D program and the 2003 Oil-on-water exercise, as well as the results from the final performance tests of the new equipment. Further, the new oil spill response is comprehensive, in terms of total capability and geographical coverage.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".