Laboratory Testing of Full-Scale Pipes Partially Embedded in Soil to Study Soil-Pipe Interaction of Offshore Seabed Oil and Gas Pipelines: Initial Observations
Bibliographic record
Abstract
The geotechnical aspect of the design of off-shore oil and gas pipelines is a challenge due to inherent uncertainties in predicting soil-pipe interaction behaviour. Physical modeling is often sought after to gain insight into such problems. This is especially true for pipelines laid in deep waters that are partially embedded in the seabed. This paper presents initial observations arising from full-scale laboratory simulations of typical soil-pipe interaction scenarios of partially buried steel pipes. Bare and epoxy-coated NPS18 steel pipes, each measuring 2.5 m in length, were separately tested in a soil chamber by simulating: (i) lateral pipe displacement; and (ii) longitudinal pipe displacement, under partial embedment in two idealized soil bed models, i.e., in a coarse-grained soil bed model with full drainage, and a fully-saturated fine-grained soil bed model with partial drainage.
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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 | 0.001 | 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".