A new method is raised for judging the grade of the watered-out zone with the aid of neural network technique using log and geochemical information.

借助神经网络技术，提出了利用测井、地球化学资料判别水淹层级别的新方法。

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Experimental results indicate that the response of spontaneous potential logs in watered-out zone is different from that in the zone not watered-out.

结果表明，水淹层的自然电位测井响应出现了异常。

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But, as time goes on, great amounts of injected water flows along the high permeable zone, which results in early watered-out producers and declining yield.

但是，随着开发年限的延长，大量的注入水沿水洗强度较高的高渗透带窜流，导致油井过早水淹，产油量下降。

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