Propagation, breaking and interaction of regular and irregular waves over a complex bathymetry with an oil rig
Bibliographic record
Abstract
The oil and gas platform in the nearshore and offshore region are sometimes vulnerable due to the extremely high waves approaching the structure. The bathymetry of such a region plays a vibrant role in modifying the incoming wave fields. Depending on the changes of bathymetry, the deepwater wave can change into a shallow water wave and could cause wave shoaling, modification in wavelength, and in many cases leads to wave breaking. After breaking the leftover wave energy is reformed and keeps propagating. A 3D dispersive numerical model is developed and utilized for the prediction of the wave reflection, diffraction, breaking, and propagation in the presence of varying water depth and an offshore oil rig. A finite difference method has been employed for the numerical computation that uses ADI (Alternating Direction Implicit) algorithm. In this work, a sea bottom of varying bathymetry is utilized extended from a deeper region to a shallower region may be treated as a natural or an artificial submerged obstacle or sea bottom. A square shaft of an oil and gas platform is located in the shallower region. In the simulation, a set of relevant regular and irregular waves are studied. Limited field data of irregular waves are used for model validation.
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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 | 0.000 |
| 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) | 0.001 | 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".