A Disconnectable Dry Tree Semisubmersible Design Exposed to Iceberg and Harsh Environment
Bibliographic record
Abstract
Abstract This paper presents an innovative design for a disconnectable dry tree semisubmersible floater for use in harsh environments and which could be exposed to the threat of iceberg impact. The use of dry tree Top Tensioned Risers (TTRs) in well completion has its advantage in allowing direct vertical access to production wells, which enables the use of dry-trees, drilling programs, and well work-over when required. Semisubmersible floaters offer significant execution and operational advantages over other types of floaters such as the quayside integration, and high flexibility on the payload and topsides area requirements. However, with the existing qualified tensioner technology, conventional semisubmersibles do not offer motion response suitable for dry tree applications. The free hanging solid ballast semi (FHSB Semi) is an enhanced semisubmersible design that maintains the advantages of the semisubmersibles while offering a very low motion response suitable for dry tree applications. The design and characteristics of the FHSB Semi is widely published elsewhere. In an area where floating platforms are exposed to icebergs and harsh environment, it is essential to design a system where the floater can be disconnected from the moorings and top-tensioned risers and be moved away from the iceberg's path. After the event the system should be designed to reconnect moorings and risers with minimal disruption to production and reasonable restriction on the reconnection environment. In this study, the FHSB Semi design has been further developed to enable disconnect/reconnect of the TTR and mooring systems. Detailed description of the disconnectable TTR and mooring systems is presented in this paper. A case study is also presented to illustrate the performance and the disconnection/reconnection of a FHSB Semi located offshore Newfoundland in a harsh environment area subject to icebergs.
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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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".