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        1. [1]冯春珍,林伟川,成志刚,等.低渗透储层测井分类和产能预测技术[J].测井技术,2012,36(03):308-313.
           FENG Chunzhen,LIN Weichuan,CHENG Zhigang,et al.Reservoir Classification and Productivity Forecasting Method for Low Prorosity and Permeability Reservoir with Log Data[J].WELL LOGGING TECHNOLOGY,2012,36(03):308-313.
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          低渗透储层测井分类和产能预测技术()
          分享到:

          《测井技术》[ISSN:1004-1338/CN:61-1223/TE]

          卷:
          第36卷
          期数:
          2012年03期
          页码:
          308-313
          栏目:
          综合应用
          出版日期:
          2012-06-29

          文章信息/Info

          Title:
          Reservoir Classification and Productivity Forecasting Method for Low Prorosity and Permeability Reservoir with Log Data
          作者:
          冯春珍 林伟川 成志刚 张伟杰 侯亚平 井素娟
          中国石油集团测井有限公司长庆事业部, 陕西 高陵 710201
          Author(s):
          FENG ChunzhenLIN Weichuan CHENG Zhigang ZHANG Weijie HOU YapingJING Sujuan
          Changqing Division, China Petroleum Logging CO.LTD., Xi’an, Shaanxi 710201, China
          关键词:
          测井评价 低孔隙度 低渗透率 产能预测 解释模型 参数 储层分类
          Keywords:
          log evaluation low porosity low permeability productivity forecast interpretation model parameter reservoir classification
          分类号:
          P631.84
          文献标志码:
          A
          摘要:
          依据储层特点和生产的需求,在流体性质识别的基础上,采用大量的测井 和投产初期测试资料,利用统计学原理,提出储层参数厚度加权平均值概念,建立含油层测井储层参数与井投产产量之间关系,研究综合评价指 数储层产能等级分类法,符?#19979;?#36798;900%以上。在储层分类的基础上,分析储层产能的影响因素,利用平面径向稳态渗流原理,建立低孔隙度低 渗透率储层压裂后产能预测模型及其参数计算方法,注重不同类别储层对井产能的贡献率,解决了低渗透储层压裂后投产产能测井预测难题,及 其预测符?#19979;?#36798;800%以上,形成低渗透储层产能预测技术。
          Abstract:
          Based on the identification of fluid properties, reservoir characteristics and production needs, we analyzed a mass of log data, test data in initial production and general theory of statistics, based on which proposed is the concept of reservoir thickness weighted average and established is relationship between reservoir parameters of oilbearing formation and production rate. In this way, proposed is the classification of reservoir productivitycomprehensive evaluation index method, the forecasted productivity is 90% coincidence rate with the practical reservoir productivity. On the basis of reservoir classification, analyzed are the influencing factors on reservoir productivity. The theory of plane radial stable percolation is used to establish a model for postfrac low porosity & permeability reservoir productivity prediction and parameters algorithm, in which the contributions of different reservoirs to each well productivity are considered, and with which the productivity of the above postfrac reservoirs is successfully predicted, its forecasted productivity rate is up to 80%. The productivity prediction technology improves the log interpretation precision, and provides technical support for LWD data analyses, welllocation distribution and adjustment, therefore, being less geologic risk for large well groups developments with lower cost and higher single well production.

          参考文献/References:

          [1]崔彦力. 吐哈探井压前测试与压后产能关系研究[J]. 油气井测试, 2000, 9(2): 6063.
          [2]鞠江惠, 王建功. 二连油田低孔隙度低孔渗低渗透率储层压裂后产能预测[J]. 测井技术,2005,29(4): 379381.
          [3]蒋廷学,单文文,杨艳丽. 垂直裂缝井稳态产能的计算[J]. 石油勘探与开发,2001,28(2):6163.
          [4]封立香. 胜利基山地区压?#20122;?#21518;产能预测方法研究[Z].2008.
          [5]Mcguire M J. The Effect of Vertical Fractures on Well Productivity[C]∥SPE001618GP.

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          备注/Memo

          备注/Memo:
          作者简介: 冯春珍,女,1967年生,高级工程师,从事测井资料解释研究及技术管理工作。
          更新日期/Last Update: 2012-06-20
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