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Record W2038933245 · doi:10.4043/13208-ms

Analysis and Design Consideration of Greenwater Impact on Decks and Topsides of FPSO

2001· article· en· W2038933245 on OpenAlexfundaboutno aff
Mark Wang, John Leitch, Yong Bai

Bibliographic record

VenueOffshore Technology Conference · 2001
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
FundersNational Research Council Canada
KeywordsMarine engineeringHeading (navigation)Submarine pipelineDeckEngineeringNaval architectureStructural engineeringGeotechnical engineeringAerospace engineering

Abstract

fetched live from OpenAlex

Abstract Investigation of greenwater occurrence on the Terra Nova FPSO, included a model test program, extensive analysis as well as a series of numerical simulations. Wave period (spectral peak period), Vessel heading, and Vessel draft were the three most important parameters identified to have significant effect on greenwater occurrence. Their effects on greenwater occurrence frequency and height are extensively analyzed. Variation in greenwater height and the frequency of occurrence along Vessel's longitudinal and transverse direction was also investigated. The findings were used for design and engineering of the Terra Nova FPSO and may be useful for design consideration of greenwater problem for other FPSOs. To further assess the possibility of greenwater occurrence, a simple probability analysis was performed. Such analysis can help decision making in a quantitative way. The analysis effort concentrated on the heading distribution which is a critical part of the probability assessment. A practical procedure is outlined for the design consideration of greenwater. The procedure is based on current industry practice and experience with the Terra Nova FPSO design. Some future possible improvement and development to this procedure is also proposed and discussed. Introduction Greenwater has been recognized by the offshore industry and the offshore research community as a particular problem for FPSOs (References 1 through 5). The damage caused by greenwater includes that to walkway ladders, deck equipment pipe insulation, equipment room, switch room compartments, structures, watertight doors, cable trays, etc (Reference 1). The Terra Nova Alliance has paid great attention to the greenwater problem in the course of design and engineering of the Terra Nova FPSO. This was necessary because of the harshness and complexity of the environment on the Grand Banks of Newfoundland, where the FPSO will be moored for 20 years of her operation life. Details of the environment at the Grand Banks can be found in References 7 and 8. Figures 1 and 2 show pictures of the Terra Nova FPSO and Figure 3 shows an illustration of the Terra Nova field. A procedure for design consideration of greenwater impact on FPSO was developed, which is a combination of model tests, analysis, numerical simulation and probability analysis. This procedure was used for the Terra Nova FPSO project. A condensed version of this procedure is presented in this paper The Model Test Program A series of model tests were carried out at the National Research Council Canada's Institute for Marine Dynamics in the Spring of 1998 with a model at scale of 1:44. The principal dimensions of the FPSO are given in meters in Table 1. The test model is shown in Figures 4 and 5. Like the FPSO, the test model was equipped with a thruster assisted mooring systems, consisting of 5 azimuthing thrusters and a disconnectable turret mooring system with nine lines. A total of 13 flexible risers were also modeled in the model tests. References 9 and 10 present some details of the model test program.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.014
GPT teacher head0.233
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2001
Admission routes2
Has abstractyes

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