Rapid Rheogram Prediction for Mechanically Degraded Hydrolyzed Polyacrylamide Solutions via Standard 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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Publication Details

Journal
SPE Journal
Published
2025-09-19
DOI
https://doi.org/10.2118/230289-pa
Citations
1
Primary Topic
Rheology and Fluid Dynamics Studies
Type
article
Field-Weighted Citation Impact
0.72
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article

Rapid Rheogram Prediction for Mechanically Degraded Hydrolyzed Polyacrylamide Solutions via Standard Viscosity Measurements

Eduardo Manrique, Guillermo Artana, Vladimir Alvarado, Horacio P. Burbridge et al.
1 citations
SPE Journal
Rheology and Fluid Dynamics Studies
0.72
article

Rapid Rheogram Prediction for Mechanically Degraded Hydrolyzed Polyacrylamide Solutions via Standard Viscosity Measurements

Eduardo Manrique, Guillermo Artana, Vladimir Alvarado, Horacio P. Burbridge, Dario Alviso
article en
1 citations

Abstract

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.

SPE JournalVol. 30(11)
University of Wyoming (US), Universidad de Buenos Aires (AR), Ministerio de Producción, Ciencia y Tecnología (AR), Oil and Gas Center (CN), Universidad Nacional de Asunción (PY)
Openalex Percentile: Top 28%
Rheology and Fluid Dynamics Studies
0.72
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