Optimization method of the injection-production parameters for SP flooding based on the response surface methodology-A case study of Ng41-51 submember in the west of the 7th block of Gudong oilfield
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TE357.43

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    Abstract:

    Response surface methodology is an optimization method which selects main controlling factors by PB experiment and determines the optimization program based on the method of steepest ascent. On this basis,an optimization method of injection-production parameters for SP flooding was established. This method overcomes the disadvantages of some traditional optimization methods. So this method has the advantage of obtaining the optimization design in a fast and precise way. Ng41-51 submember of the 7th block of Gudong oilfield was selected as the typical unit of the research for the SP flooding. Then main controlling factors of the effect of the SP flooding were selected by PB experiment after the history matching.Next,the optimized value and effect of these main controlling factors on development results were determined according to BBD experiment. The optimized value of the main controlling factors was used as the production factors in the calculation using Eclipse simulation software. The calculated value of enhanced oil production per ton polymer is 21.894 m3/t with a relative error of 2.01% compared with the result of response surface methodology. The well agreement indicates the effectiveness of this method. The optimization results of the orthogonal design were compared with that of the response surface methodology. It shows that the best value of enhanced oil production per ton polymer was improved by 5.9% using the response surface methodology,which highlighted the superiority of this method.

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Ming Yukun. Optimization method of the injection-production parameters for SP flooding based on the response surface methodology-A case study of Ng41-51 submember in the west of the 7th block of Gudong oilfield[J]. Petroleum Geology and Recovery Efficiency,2017,24(3):91~97

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  • Online: March 29,2017
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