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首页> 外文期刊>Journal of Zhejiang University SCIENCE A >Identification of waterflooded zones and the impact of waterflooding on reservoir properties of the Funing Formation in the Subei Basin, China
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Identification of waterflooded zones and the impact of waterflooding on reservoir properties of the Funing Formation in the Subei Basin, China

机译：苏北盆地阜宁组水淹带识别及注水对储层物性的影响

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摘要

This paper describes the identification of waterflooded zones and the impact of waterflooding on reservoir properties of sandstones of the Funing Formation at the Gao 6 Fault-block of the Gaoji Oilfield, in the Subei Basin, east China. This work presents a new approach based on a back-propagation neural network using well log data to train the network, and then generating a cross-plot plate to identify waterflooded zones. A neural network was designed and trained, and the results show that the new method is better than traditional methods. For a comparative study, two representative wells at the Gao 6 Fault-block were chosen for analysis: one from a waterflooded zone, and the other from a zone without waterflooding. Results from this analysis were used to develop a better understanding of the impact of waterflooding on reservoir properties. A range of changes are shown to have taken place in the waterflooded zone, including changes in microscopic pore structure, fluids, and minerals.
机译：本文介绍了苏北盆地高集油田高6断块阜宁组富宁组砂岩水淹带的识别及其对储层物性的影响。这项工作提出了一种基于反向传播神经网络的新方法，该方法使用测井数据训练网络，然后生成交叉图板以识别注水区。设计并训练了神经网络，结果表明该新方法优于传统方法。为了进行比较研究，选择了高6断块处的两个有代表性的井进行分析：一个是水淹区，另一个是没有水淹区。该分析的结果用于更好地理解注水对储层物性的影响。已显示出水淹区发生了一系列变化，包括微观孔隙结构，流体和矿物质的变化。

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  • 来源
    《Journal of Zhejiang University SCIENCE A》 |2013年第2期|147-154|共8页
  • 作者

    Peng-hui Zhang; Jin-liang Zhang; Wei-wei Ren; Jun Xie; Ming Li; Jing-zhe Li; Fang Ding; Jin-kai Wang; Zi-rui Dong;

  • 作者单位

    College of Resources Science and Technology Beijing Normal University">(1);

    College of Resources Science and Technology Beijing Normal University">(1);

    College of Resources Science and Technology Beijing Normal University">(1);

    College of Geological Science and Engineering Shandong University of Science and Technology">(2);

    Henan Oilfield Research Institute">(3);

    College of Marine Geosciences Ocean University of China">(4);

    College of Resources Science and Technology Beijing Normal University">(1);

    College of Geological Science and Engineering Shandong University of Science and Technology">(2);

    Schlumberger China">(5);

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