Design Challenges for Large Arctic Crude Oil Tanker
Bibliographic record
Abstract
The largest icebreaking tanker built so far, Vasily Dinkov was delivered by Samsung Heavy Industries shipyard to Russian ship-owner SOVCOMFLOT. The vessel was designed and built for the transport of crude oil from the Varandey offshore terminal in east-southern part of the Barents Sea to a transshipment location near Murmansk. The vessel is under long-term charter for NARYANMARNEFTEGAS (NMNG), a joint venture of LUKOIL and ConocoPhillips. The new ship was constructed strictly to the requirements, specification, and concept design provided by the charterer as a basis for final design, building contract, and time-charter agreement. That approach was driven by time constrain, challenges of the project, and uncertainty about experienced icebreaker builder shipyard availability. The ConocoPhillips-LUKOIL marine technical group led the efforts for the feasibility design study at the early vessel design stage and contributed arctic design expertise and oversight of the final design and construction.
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".