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    Your Position :Home->Past Journals Catalog->2022 Vol.5

    Research on prediction model of foam resistance factor and residual resistance factor
    Author of the article:ZHOU Xinyu1,HUANG Jia1,HAN Lu1,LIU Zhang1,2,CAI Hongyan1,JIA Ninghong1,HU Jinghong2
    Author's Workplace:1. State Key Laboratory of Enhanced Oil Recovery, Research Institute of Petroleum Exploration and Development, CNPC, Beijing, 100083, China; 2. School of Energy and Resources, China University of Geosciences-Beijing, Beijing, 100083, China
    Key Words:Foam flooding; Foam resistance factor; Residual resistance factor; Permeability; Porosity; Injection volume
    Abstract:

    Foam resistance factor and residual resistance factor are important parameters to characterize the profile control and plugging effect of foam flooding, but they may be affected by many factors such as core permeability, porosity, and foam injection amount. A large number of indoor evaluation experiments are required to obtain the effective foam resistance factor and residual resistance factor. Through SPSS software, the relationship between foam resistance factor and residual resistance factor and each factor is fitted using stepwise regression method. The influence rule of each factor on foam seepage resistance factor is obtained, and the interaction between each factor is analyzed. At last, the prediction model, with an accuracy of more than 80%, was obtained by combining the experimental data. The study provides a reference for the calculation of the foam resistance factor and the residual resistance factor in the indoor evaluation experiment.

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