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Updated: Jul 22, 2026

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
Published on: February 25, 2015
Analysis and Simulation of Polymer Injectivity Test in a High Temperature High Salinity Carbonate Reservoir
Mohamed Adel Alzaabi1, Juan Manuel Leon2, Arne Skauge1,3
1Deptartment of Chemistry, University of Bergen (UiB), 5007 Bergen, Norway.
Predicting polymer injectivity in oil recovery is crucial. This study analyzed bottom-hole pressure data, revealing complex rheology including shear thickening and thinning, essential for accurate field predictions.
Area of Science:
- Petroleum Engineering
- Chemical Enhanced Oil Recovery (CEOR)
- Reservoir Engineering
Background:
- Polymer flooding is a successful CEOR method, but predicting polymer injectivity in porous media is challenging due to non-Newtonian fluid behavior.
- In-situ rheology can exhibit complex shear-dependent behavior, including shear thickening and thinning, which is difficult to ascertain from field data alone.
- Field applications typically provide limited data, primarily well bottom-hole pressure (BHP).
Purpose of the Study:
- To analyze BHP data from a field polymer injectivity test in a Middle Eastern heterogeneous carbonate reservoir.
- To investigate the impact of flow rate and polymer concentration on injectivity under high-temperature and high-salinity (HTHS) conditions.
- To model and simulate the injectivity test using a single-well model incorporating complex rheology.
Main Methods:
- Analysis of BHP data from a field polymer injectivity test.
- Development of a single-well model to simulate the injectivity test.
- Sensitivity analysis of injection flow rate and polymer concentration.
- Incorporation of complex rheology (shear thickening and thinning) into the model.
Main Results:
- Polymer injection showed a non-linear pressure increase and longer transient behavior compared to water injection.
- Water injection exhibited a linear pressure response to rate variations and quick stabilization.
- The best match between simulation and field data was achieved using a complex rheology model, combining shear thickening near the well and shear thinning further away.
Conclusions:
- Complex rheology, including shear thickening and thinning, is critical for accurately modeling polymer injectivity in HTHS reservoirs.
- BHP data analysis combined with appropriate rheological models can improve the prediction of polymer flooding performance.
- Understanding in-situ rheology is key to optimizing polymer flooding strategies in challenging reservoir conditions.
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