Study of Mechanisms of Enhanced Oil Recovery by Multi-Thermal Fluids
Bibliographic record
Abstract
A new process using multi-thermal fluids as an innovative technique for recovery of offshore heavy oil has been used in Bohai oilfield pilot tests. However, the mechanisms of its enhanced oil recovery and reservoir adaptability (sensitivity) have not been studied in depth. Through theoretical, numerical simulation and experimental analyses, the stimulation mechanisms of various components in this process and the coupling effects between these components in terms of enhanced oil recovery are studied and analyzed in detail. In addition, using oil viscosity, rock permeability and heterogeneity parameters of heavy oil reservoirs in the Bohai oilfield, production results and adaptability to reservoir conditions between the standard steam stimulation process and the stimulation process of multi-thermal fluids are compared. The results indicate that the latter process can enlarge the radius of a thermally swept volume, increase formation energy, and reduce heat loss, but the total enthalpy carried by this process drops slightly. Consequently, the process of multi-thermal fluids stimulation is more suitable to heavy oil reservoirs whose oil viscosity is not too high, heterogeneity is relatively weak, oil formation is thin and natural energy is low. Key words: Offshore heavy oil reservoirs; Multi-thermal fluids; Cyclic steam stimulation; Stimulation mechanism; Production efficiency; Reservoir adaptability; Bohai oilfield
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 | 0.001 |
| 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".