Influence of infiltration regimes on hydrocarbon accumulation processes in Northern part of West Siberia
Bibliographic record
Abstract
Background. Hydrogeological analysis is necessary for a comprehensive forecast of oil and gas deposits in any region. Early in the development of petroleum hydrogeology in the 1940–1970s, conditions for hydrocarbon (HC) accumulation were actively examined at depths of about 1–2 km, where meteoric waters often occur. However, for a long time, there was no interest in exploring petroleum basin infiltration systems despite the colossal hydrocarbon resources in West Siberia, Alberta (Canada), the Norwegian-Danish oil and gas basin (Norway) and Jungar Banner (China), which are associated with an infiltration hydrodynamic regime (IHR). The resumption of research into hydrocarbon systems controlled by IHR is advisable for theoretical and advanced applications in the exploration of hydrocarbon deposits, including non-structural hydrocarbon accumulation. This is essential for oil and gas fields with a long well production history, where the resources of hydrocarbon deposits associated with anticline structures have largely been exhausted.Aim. To elaborate on the influence of IHR on the HC accumulation processes, the evolution and preservation of these accumulations in the Northern part of West Siberia.Results. The authors discussed features of the infiltration system of the Northern part of the West Siberian hydrogeological basin and proved its unity within the onshore and offshore regions. It was shown that a specific feature of this basin consists in an internal discharge zone associated with the Gulf of Ob in modern plans. Based on analysis of hydrodynamic potentials within the Albian-Cenomanian complex, local accumulations of hydrocarbons, formed in the absence of control from the structural factor, were revealed.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".