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As the oilfield enters the ultra-high water cut stage, the development situation of water flooding is becoming increasingly severe, facing problems such as increasing natural decline, rapid water cut rise, and serious low and non-effective circulation. How to accurately identify low and non-effective circulation layers, effectively adjust them, and alleviate the interlayer contradiction, is an important subject of water control and efficiency improvement project. In recent years, in view of the difficulty in identifying low and non-effective circulation layers in water flooding and the unsatisfactory control effect, a platform of preferential seepage channels identification has been developed, to achieve accurate identification of low and non-effective circulation layers. A classification and evaluation of low and non-effective circulation layers use the recognition results combined with the dynamic and static data has been carried out. The personalized plan has been carried on the field application. It achieved good effect for improving producing reservoir effectively, controlling water cut rising, providing reference basis for determining control low and non-efficient circulation layers.