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Analysis of Factors Affecting Polymer Flooding Based on a Response Surface Method.

Jie Hu¹, Aifen Li¹

¹School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China.

|April 19, 2021

Summary

Optimizing polymer flooding in offshore reservoirs requires careful consideration of injection rate and timing. This study developed a model to predict enhanced oil recovery, identifying optimal parameters for improved performance.

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Area of Science:

Petroleum Engineering
Reservoir Engineering
Enhanced Oil Recovery

Background:

Offshore reservoirs have limited service life, making efficient development crucial.
Polymer flooding is a key enhanced oil recovery (EOR) technique.
Injection parameters significantly impact polymer flooding performance.

Purpose of the Study:

To investigate the influence of formation packing sequence, injection rate, and timing on polymer flooding performance.
To develop a predictive model for incremental oil recovery in offshore reservoirs.
To identify optimal conditions for improved polymer flooding efficiency.

Main Methods:

Numerical reservoir simulation based on offshore reservoir properties.
Experimental design using response surface methodology and single-factor analysis.
Statistical analysis and regression modeling to establish a predictive model.

Main Results:

A regression model was established and validated using ANOVA, showing a good fit with experimental data.
Injection rate, formation rhythm, and injection timing were identified as key factors influencing oil recovery.
Optimal performance was achieved with an injection rate of 0.07-0.09 PV/a and injection timing at 30% water cut for positive rhythm formation.

Conclusions:

The developed regression model accurately predicts incremental oil recovery from polymer flooding.
Injection rate is the most influential factor, followed by formation rhythm and injection timing.
Specific injection parameters can significantly enhance polymer flooding performance in offshore reservoirs.