Nonlinear Regression Analysis of Binary Flooding Recovery Influence Factors

Abstract:

To better reveal the laws of binary (SP) oil flooding, based on the physical simulative experimental results of Berea core (400mD), the nonlinear regression method of the probability statistics theory and SPSS software was applied to conduct a weight analysis for the main influence factors of the binary oil flooding. The results show that the three factors of the viscosity of binary system, the composite emulsifying index and the interfacial tension affect the chemical flooding recovery and the total recovery significantly. The results of the forced introduction method show that the reliability of the effect of the three factors on y1, namely the chemical flooding recovery, is higher than 99%. The stepwise introduction method and the backward elimination method prove that the reliability of the effect of the three factors on y2, namely the total recovery, is higher than 95%. The results also indicate that emulsification affects the binary chemical flooding recovery of moderately and highly penetrated sandstone cores more significantly.Introduction

• Periodical: Advanced Materials Research (Volumes 881-883)
• Pages: 1696-1705
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.881-883.1696
• Online since: January 2014
• Authors: Yi Zhang, Chun Ru Fu, You Yi Zhu, Qun Zhang, Jie Wu
• Keywords: Binary Flooding, Influence Factor, Nonlinear, Recovery Ratio, Regression Analysis

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