Scale Risk Management during CO2 WAG in Carbonate Formations
Bibliographic record
Abstract
Summary In this work we have used commercial software to perform reactive transport simulations of CO2 WAG injection in an oil reservoir, with the objective of assessing the scaling risk associated with CO2 EOR in carbonate formations. Higher WAG ratio promotes faster mineral reactions and severe scale deposition at earlier times. Injection of cooler fluids also enhances calcite and CO2 dissolution in water near the injector wellbore. Finally, the mass of calcite around the producer wellbore changes due to three different mechanisms: (a) brief dissolution caused by arrival of the CO2-rich front, (b) re-precipitation caused by mixing between high HCO3 injected water with high Ca formation water and (c) continuous precipitation caused by evolution of CO2 along the flow path, which occurs continuously after CO2 breakthrough. The results of these calculations allow the critical location where scale damage could occur within a production system to be identified, and a mitigation strategy developed to control its formation, for example via continual injection of scale inhibitor down to the production packer in early field life, reducing the need for batch inhibitor (squeeze) treatments into the reservoir in later field life, thereby significantly reducing OPEX.
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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 | 0.001 |
| 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".