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2013 (Vol. 5, Issue: 16)
Article Information:

Study on the Determination of Separated Layer Water Injection Based on Grey Correlation Analysis Method

Junting Zhang, Hongjun Yin, Ye Zhang, Huanhuan Zhang and Jiafeng Teng
Corresponding Author:  Hongjun Yin 

Key words:  Dividing coefficient, grey correlation, separated layer water injection, weight, , ,
Vol. 5 , (16): 4077-4081
Submitted Accepted Published
March 23, 2012 December 13, 2012 April 30, 2013
Abstract:

How to determine the separated layer water injection is a problem which reservoir engineers concern in flood development oil field. These various influential factors of dividing coefficient method are analyzed in this study. Grey correlation analysis method is used to determine the dominant influential factors. And the weight of different dominant influential factors is determined, which realizes the quantitative comparison among them in dividing coefficient formula. This method considers the impact of these factors which are consist of the measure transformation coefficient, perforation thickness, injector producer distance, location coefficient and the number of injector and producer. The separated layer water injection formula is determined. The scientific and reasonable injection allocation is realized. The problem which the contradiction exists in the same layer or between the layer and the layer is obvious in the S block through combining with the current water injection development. The separated layer water injection method is proposed necessarily. The formula for water injection is determined by grey correlation analysis method in Block S. These factors considered are more with the actual situation. And the reasonable injection allocation is realized. It is directive and referenced for other oil field or block.
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  Cite this Reference:
Junting Zhang, Hongjun Yin, Ye Zhang, Huanhuan Zhang and Jiafeng Teng, 2013. Study on the Determination of Separated Layer Water Injection Based on Grey Correlation Analysis Method.  Research Journal of Applied Sciences, Engineering and Technology, 5(16): 4077-4081.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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