Profile Control Optimization and Application Analysis of Nanbao 35-2 Oilfield——Use the BP Neural Network Prediction Method Based on Core Flooding Parameters Sample
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TE357.46

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    Abstract:

    Nanbao 35-2 was characteristic of the high viscosity,high permeability,serious heterogeneity,etc.During water flooding process,because of the serious fingering phenomenon,it was difficult to obtain high water fllooding recovery.In the paper,the profile control agents were optimized by the methods of the instrument testing and core flooding tests.And then the average concentration and slug size were optimized by using the BP neural network prediction method based on core flooding parameters sample and economic evaluation.Compared with laboratory analysis data and optimization results,for A21 well,the best slug size and average concentration were 0.1 PV and 2200 mg/L,respectively.During the profile control process,injection pressure increased significantly.In the case without considering the natural decline rate,the oil wells incremental oil production was 27639.59 m3.The measurements achieved an obvious oil increment and water reduction.And economic benefits are very obvious.

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LIU Wen-Chao, LU Xiang-Guo, CUI Jing-Sheng, LIU Jin-Xiang. Profile Control Optimization and Application Analysis of Nanbao 35-2 Oilfield——Use the BP Neural Network Prediction Method Based on Core Flooding Parameters Sample[J]. OILFIELD CHEMISTRY,2012,29(2):206-211.

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  • Online: April 16,2013
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