Enhanced oil recovery (EOR) processes are regarded as important methods to recovery remaining oil after primary and secondary recovery. It is significant to select the most appropriate EOR process among the possible techniques for a candidate reservoir. EOR screening criteria has been created using available EOR datasets and served as the first step to compare the suitability of each EOR method for a particular reservoir. Most of these datasets are collected from EOR surveys published by Oil & Gas Journal. This study proposes a comprehensive study of a dataset including 55 pilot and field polymer flooding applications in China. Statistical analysis has been used to analyze the data collected. Histograms and box plots combined with violin plots are used to show the distribution of each parameter and present the range of the data. Scatter plots are constructed to compare relationships between different polymer properties and reservoir properties. Screening criteria for polymer flooding has been updated by real pilot and field polymer flooding data. Multiple imputation method is also proposed and implemented on the original dataset and a predicting model to predict incremental oil recovery using reservoir and polymer properties is constructed in steps --Abstract, page iii
