Bibliographic record
Abstract
Abstract The LNG market is expanding, and development plans exists for LNG processing plants in Arctic Russia. This paper discusses a possible transport chain for LNG produced at shore-based terminals on the Yamal Peninsula. The recent disagreement between Russia and Ukraine on gas export to Europe has demonstrated the vulnerability of the present overland export system for natural gas. The planned North Stream will increase energy security for several European countries. However, a sea transport system may create a win - win situation for Russian gas producers and world-wide customers of natural gas. The first part of the paper describes the individual legs of the proposed transport chain. The second part discusses ship-to-ship transfer of gas in general, followed by a review of LNG ship-to-ship transfer, and ends with a specific case, of which high-seas ship-to-ship transfer in Arctic waters is a critical element. The final part of the paper describes necessary developments in cargo-handling equipment and operational procedures for LNG transfer between two large LNG vessels in Arctic waters. Ship-to-ship transfer of oil and gas is a routine operation in many parts of the world. A cost-effective transport system from Arctic LNG plants in the western part of the Russia to markets in Western Europe and east coast US/Canada could be achieved through the use of dedicated icebreaking LNG tankers transloading their cargo to conventional LNG carriers in ice-free waters in the Barents Sea. 1 Introduction With the expected increase in demand for oil and decrease in production in certain areas in 2010 - 2020, pressure to develop the Arctic region is growing. The extreme conditions with ice and very low temperatures will make even more stringent demands of the ships, equipment and crew than normal. The Arctic is particularly sensitive and vulnerable, and the vision of zero harmful discharges is now generally accepted. A sharper focus on the part of IMO, EU and Arctic organizations, on environmental issues and safe operations will influence vessel operation. There will be a focus on new and innovative costeffective solutions to satisfy the strict requirements for ships and equipment from ship-owners, class societies, operators, the authorities and other stakeholders. The development of the Snøhvit gas field with its Melkøya LNG terminal has moved offshore gas production far north. Much larger offshore and onshore fields exist in the Russian sector of the Barents Sea and on the Yamal Peninsula. The recent problems with Russian gas export to Europe may increase pressure to develop an independent sea export route from the Russian European Arctic in addition to the planned North Stream pipeline. Current plans for development of LNG plants include a plant in Teriberka, where the Shtokman gas will be landed, and a facility on the Yamal Peninsula. Ship-based export from these plants will give the Russian gas company Gazprom access to both the European and North American markets.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".