Experimental evaluation of a DP thruster - near and far wake momentum effects
Bibliographic record
Abstract
Over the past few years, Dynamic Positioning (DP) systems have seen increasing use in the offshore oil and gas and marine industries. As operations move into more hostile and deeper waters, the need for DP systems has become almost mandatory. Therefore, an understanding of the interaction between the DP thruster wake and structures (production lines, moorings and any submerged structure members) in the slipstream is of great practical interest. There is increasing demand for such information from the offshore oil and gas, and marine industries, to increase the reliability and safety of applying DP systems. In this paper, a detailed momentum analysis of a DP thruster near and far wake using experimental measurements is presented. The wake measurements were performed on a DP thruster model using Stereoscopic Particle Image Velocimetry (SPIV), with and without a nozzle and over a range of advance coefficient values including the bollard pull condition. The aim of this paper is to provide a comprehensive and systematic momentum analysis of the flow produced from the operation of a DP thruster with and without a nozzle under varied operating conditions.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".