Experiments of Water Flooded Longitudinal State on Offshore Thick Reservoir
Bibliographic record
Abstract
Reservoir sedimentary rhythmic is an important geological factors influencing the dynamic characteristics of the reservoir development and residual oil distribution. Bohai LD oil field is a typical thick reservoir, large well spacing multilayer commingled production in offshore oil field conditions, the gravity effect is more apparent, the remaining oil in the middle and high water period is comparatively complicated. For further study the remaining oil distribution of reservoir after water flooding, the research of indoor core displacement experiment was carried out. Combine the reservoir properties, design parameters according to similar principle, in this paper, the distribution of remaining oil and the production dynamics characteristics under different rhythm is researched. The research results indicate that: Due to gravitational differentiation, the reservoir is submerged at the bottom under homogeneous rhythm. The higher the core permeability, the stronger the gravity differentiation act, the smaller water flooded vertical thickness is, and remaining oil concentrate at the top. Gravity makes positive rhythm formation longitudinal contradictions become more prominent, after water flooding breakthrough, water cut rise fast, core recovery is low, the remaining oil is concentrated in the upper part of the low permeable formation; Gravitational differentiation can play a role in reverse rhythm, water drive is relatively uniform, core recovery is high. Under composite rhythm, the displacement situation of water drive is similar to the single rhythm.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".