Model predicts rheological changes in polymer solutions, improving recovery efficiency through viscosity measurements.
Summary Reliable models predicting polymer solution rheology are crucial for chemical enhanced oil recovery (EOR). A primary challenge in polymer flooding is assessing mechanical degradation, which reduces oil recovery efficiency due to rheological changes. By measuring viscosity at 7.3 s−1 for both undegraded and degraded solutions, we derive expressions for the degraded volume fraction and Carreau-Yasuda model coefficients. This enables modeling rheological curves from 0.001 to 1,000 s−1 for both solution types. Comparison of model results with experimental and literature data shows satisfactory agreement. The model achieves a mean absolute percentage error (MAPE) below 10% for rheological curve estimation using standard field instruments, streamlining on-site decision-making.
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Pérez et al. (2025) studied this question.
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