Arctic Zone of the Siberian Platform - Resource Base and Development Potential
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The interest of oil and gas companies in the Arctic region of the Earth, despite the difficulties in the geological exploration, the development and the exploitation of discovered fields, in access to markets for the produced hydrocarbons is quite high. According to the US Geological survey, the subsoil of the Arctic zones of five coastal States – the United States, Canada, Russia, Denmark and Norway – contains at least 525 billion BBOE (barrels of oil equivalent) or 75 billion tons, including the subsoil of the Arctic zone of Russia – 315.4 billion BBOE (26). The Arctic zone of the Eastern Siberia is characterized by a harsh climate (in winter the temperature drops below −60 °C on land and to −40 °C at sea), the presence of the permafrost, the lack or remoteness of the infrastructure for the delivery of the necessary equipment and materials, the transportation of produced hydrocarbons, short periods of the field work from November to April on land, from July to September at sea (6, 7, 25). The basic concepts of the geological and tectonic structure and the oil and gas content of the land and the adjacent shelf of the Arctic zone of the Siberian platform are based on the seismic data, tied to the existing deep parametric and exploratory wells. To date, five regional seismostratigraphic complexes have been identified and described: the Mesozoic-Cenozoic, the Permian-Lower Triassic, the Upper-Middle Paleozoic, the Upper Proterozoic-Cambrian and the surface of the basement. The evaluation of the potential hydrocarbon resources was carried out in the Yenisei-Khatanga, the Anabaro-Khatanga, the Anabar-Lena and part on the Laptev Sea oil and gas regions.
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.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it