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水平井流线数值试井解释模型及应用
引用本文:吴明录,姚军,贾维霞,张凯.水平井流线数值试井解释模型及应用[J].新疆石油地质,2010,31(4):408-412.
作者姓名:吴明录  姚军  贾维霞  张凯
作者单位:中国石油大学 石油工程学院,山东 青岛 266555
摘    要:考虑水平井渗流特征建立了水平井流线数值试井解释模型,包括生产阶段的渗流数学模型和测试阶段的流线数学模型,两个阶段的数学模型不仅都能够考虑油藏非均质性、生产历史、油水两相流、复杂井网及复杂边界等因素的影响,还能考虑水平井不同的井筒流动形态。采用流线方法求解该模型和遗传算法进行试井自动拟合解释得到油藏参数,形成了适用于中高含水期油藏的水平井流线数值试井解释新方法。通过对反五点井网水平井典型模型的求解,结合其流线分布形态分析,得到了水平井流线数值试井解释模型的压力响应特征。编制了流线数值试井解释软件,并结合油田应用实例,证明了软件及模型的实用性。

关 键 词:水平井  流线  试井  压力  遗传算法  
收稿时间:2010-01-18

Streamline Numerical Well-Testing Interpretation Model for Horizontal Wells and Its Application
WU Ming-lu,YAO Jun,JIA Wei-xia,ZHANG Kai.Streamline Numerical Well-Testing Interpretation Model for Horizontal Wells and Its Application[J].Xinjiang Petroleum Geology,2010,31(4):408-412.
Authors:WU Ming-lu  YAO Jun  JIA Wei-xia  ZHANG Kai
Affiliation:School of Petroleum Engineering, China University of Petroleum, Qingdao, ShanDONG 266555, China
Abstract:A streamline numerical well-testing interpretation model for horizontal wells is developed based on the percolation characteristics of horizontal wells, including two mathematical models, one is the percolation mathematical model for the production period and the other is streamline mathematical model for the testing period. In both of the models, the different flow shapes in wellbores of horizontal wells can be taken into consideration besides the influence of factors such as reservoir heterogeneity, production history, wateroil two-phase flow, complex well pattern and complex boundary, etc. Reservoir parameters can be obtained by solving the model with streamline method and using well test auto-matching method based on genetic algorithm. A new well test interpretation method for horizontal wells is formed suitable for medium-high water cut stage reservoirs. The pressure response characteristics of streamline numerical well-testing interpretation model for horizontal wells is achieved by calculating an ideal inverted five-spot horizontal well reservoirs model associating with the streamline distribution configuration analysis. Streamline numerical well testing interpretation software is developed. The case study indicates the practicability of the software and the model.
Keywords:horizontal well  streamline  well test  pressure  genetic algorithm  
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