Investigation of the vertical uplift capacity of deep water mudmats in clay
Bibliographic record
Abstract
Subsea mudmats are used in deep water oil and gas fields to support seabed structures, such as pipelines, manifolds, and well heads. On soft soil, removing mudmats during maintenance or decommissioning may be difficult and costly due to the significant suction that develops at the mudmat–soil interface, considerably increasing the uplift resistance beyond the submerged self-weight of the mudmat. This paper describes a series of centrifuge tests performed to investigate the uplift resistance of plain mudmats resting on lightly overconsolidated clay. The model mudmat invert was instrumented with pore pressure transducers to monitor the suction developing at the mudmat invert at various uplift velocities, uplift eccentricities, and mudmat skirt lengths. The results show an increase in uplift resistance with pull-out velocity and the dominant role played by the uplift eccentricity in reducing suction at the mat invert. Simple predictive methods based on bearing capacity theory and combined loading interaction diagrams are provided.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".