Field Development using Semisubmersible Floating Production System with Steel Catenary Risers in Western Australia Harsh Environment
Bibliographic record
Abstract
Abstract Semisubmersible Floating Production System (Semi-FPS) with Steel Catenary Risers (SCRs) is an attractive field development solution worldwide, and especially so in deeper water of Western Australia. However, SCR design is challenging in the offshore Western Australia environment due to severe cyclonic environments and persistent swells. This paper presents a comparison of three different field development alternatives that use Semi-FPS with SCRs in deepwater Western Australia. These alternative solutions are conventional semisubmersible hull design with Steel Lazy Wave Riser (SLWR), deep draft semisubmersible hull design with conventional SCRs and a novel semisubmersible hull design with conventional SCRs. The study considers a typical wet tree development for a gas field with a new build Semi-FPS host facility in 4,000 ft (1,220 m) water depth. 10-inch production and 16-inch export SCRs are considered in this study. Feasible riser designs are developed for each alternative solution. Numerical results are presented to compare the performance of the three hull designs. Project Execution Plan (PEP) and the identified risks and risk mitigations associated with the novel hull design have been addressed in this paper. Finally, differences in the hull, mooring and SCR total installed cost (TIC) as well as project execution schedule for the three alternative solutions are summarized and presented. The paper concludes with a comparison of the three Semi-FPS hull- riser choices along with a summary of the relative benefits and risks.
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 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 | 0.000 |
| 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".