Flow Assurance Study for a Subsea Production System with a Large-Scale Seabed Storage
Bibliographic record
Abstract
Abstract This study suggests a new concept of the subsea production system based on a large-scale seabed storage tank that stores the well fluid temporarily and later transfers it to the shuttle tanker through the riser. This concept was assessed to have advantages of reduction in the floater size, freedom from transportation distance, insensitivity to sea depth, and environmentally friendliness over the conventional deepsea solutions. Several flow assurance hazards for this system were expected, and appropriate design measures and operational methods against the hazards were suggested. A feasibility study was performed for an oil field which was located at 2190 m deep producing the well fluid of black oil type. The capacity of the seabed storage tank was considered to be 300,000 m3. Simulation results showed that riser diameter should be 19 inch and the insulation layer should be thicker than 100 mm. Introduction Subsea production systems have been devolving rapidly over last decades. At first, a fixed type platform was developed for shallow water field. At the early stages, the jacket structure platform was used for production. Later follwed the gravity based structure which withstood external force with self-weight and the jack-up rig platform which could regulate own height with hoist. As the sea depth increased, the compliant type platform was developed. At first, the guyed tower was used for production. Continuously, the tension leg platform which was moored by tendons was followed and the spar platform which was a large-diameter, single vertical cylinder bouy developed as an alternative to conventional platforms. Recently, floating type platforms, like semisubmersible platforms and FPSOs were developed for deep water field.
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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 | 0.001 | 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".