Application of Statistical Analysis Methods to Optimize Fracturing Measures of Polymer Flooding in Sub-Layers

Abstract:

Article Preview

At present, fracturing is one of the most important stimulation measures during polymer flooding process, but the selection of well is mainly given by qualitative analysis. Deep researches are needed to provide optimal design based on the quantitative analysis. In this paper, combined with statistical analysis method and static data, using cluster analysis method to classify single wells into groups. Using single dependent variable multi-factor variance analysis method to realize the individual design of single well program of polymer flooding in Sub-layers. The results of this paper will provide technical supports for the quantitative analysis influenced by multiple factors, and also offer references to further enhanced oil recovery of Sub-layers in Sazhong development area.

Info:

Periodical:

Advanced Materials Research (Volumes 225-226)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1196-1199

DOI:

10.4028/www.scientific.net/AMR.225-226.1196

Citation:

E. L. Yang and J. F. Deng, "Application of Statistical Analysis Methods to Optimize Fracturing Measures of Polymer Flooding in Sub-Layers", Advanced Materials Research, Vols. 225-226, pp. 1196-1199, 2011

Online since:

April 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.