An Experimental Investigation of Water Influence on Dry Forward In-situ Combustion
Bibliographic record
Abstract
In-situ combustion (ISC), also known as fire flooding, is not a new thermal enhanced oil recovery (EOR) technique. It is a potential alternative for heavy oil production when other thermal EOR methods are not adequate in certain reservoir conditions. A number of successful ISC application examples have been amply covered in the literature; however, the technique is still not widely used. Additional research on the influence of heterogeneities on ISC performance is required to improve predictability of this promising EOR technique. \n\nTo investigate the influence of initial water saturation on ISC performance, seven combustion tube experiments were conducted. The experimental investigations were performed on a Canadian bitumen sample (7.5 oAPI) from the Peace River region. During the experimental runs, initial bitumen saturation varied between 31.23% and 54.86%. Initial water saturation varied between 0% and 36.87%. \n\nTemperature distribution along the combustion tube and effluent gas composition were recorded for each run and further analyzed. ISC dynamics were also investigated in terms of liquid production and postmortem analysis. Combustion front dynamics were interpreted with a CT scanner and a numerical simulation was used to obtain a chemical reaction scheme for one of the experiments. \n\nThe results showed that initial water saturation is a critical parameter to determine the success of dry forward combustion.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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".