A Novel Workflow to Design and Optimize the Parameters of Polymer Flooding Based on OED-PCA-RA Method
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DOI: 10.23977/EECTM2020.043
Author(s)
Hao Wu, Hanqiao Jiang, Qiang Chen, Yu Fuwei, Yan Meng, Yanjun Fang and Junjian Li
Corresponding Author
Junjian Li
ABSTRACT
In this study, a decision-making workflow to design and optimize parameters of polymer flooding is put forward. This technological process is divided into three phases. The first phase is to design five-parameter and five-level orthogonal experiments (OED). The second is to systematically evaluate experiment results by mathematical method principal component analysis (PCA) based on ten subfactors from three aspects, including injection effect, development effect and economic benefits. The third is to analyze sensitivity by range analysis (RA) based on the comprehensive evaluation result and then obtain optimized parameters. Finally, the parameter optimization in Xinjiang reservoir is performed through this workflow.
KEYWORDS
Parameter optimization, comprehensive assessment, sensitivity analysis, polymer flooding, enhanced oil recovery