Residual gas saturation investigation of a carbonate reservoir from Western Canada
Bibliographic record
Abstract
The value of residual gas saturation to water influx is a key factor for estimating recoverable reserves in gas reservoirs overlaying active aquifers or natural gas storage reservoirs. Most of our previous work investigated the determination of residual gas saturation for sandstone reservoirs with high values of porosity and permeability. However, vast gas resources are trapped in low porosity and permeability carbonate reservoirs. A number of cores from a Western Canada carbonate reservoir were tested as part of an experimental program to determine the residual gas saturation at ambient conditions. Primary and secondary spontaneous imbibition tests were performed on each core plug. Different initial water saturation conditions were used and the obtained results were compared. The centrifuge technique was used to set the initial water saturation. The initial imbibition rate was found to be the key for residual gas saturation. The effects of core plug properties were addressed. Our work also addressed the prediction of field scale recovery by application of simple scale-up laws. Different simple predictive models, which were used to fit sandstone reservoirs successfully, were tested as part of this work. The laboratory experimental results were also compared with log data to predict gas production and gas recovery of reservoir under different matrix block sizes.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".