The water cutting rate is recorded dynamically during the production process of a well. If the remaining oil saturation of the reservoir can be deduced based on the water cutting rate, it will give guidance to improve the reservoir recovery and can save expensive drilling costs. In the oil–water two-phase seepage experiment on core samples, the oil and water relative permeability reflects the relationship between the water cutting rate and water saturation, that is, percolating saturation formula. The relative permeability test data of 17 rock samples from six seal coring wells in Daqing Changyuan were used to optimize and construct the coefficients of the index percolating saturation formula that vary with the pore structure parameters of reservoirs, to form an index percolating saturation formula with variable coefficients that is more consistent with the regional geological characteristics of the reservoir. Based on this, the formula of water saturation calculated by the water cutting rate is deduced. And the high-precision formula for calculating the irreducible water saturation and residual oil saturation by effective porosity, absolute permeability, and shale content is given. The derivative formula of water saturation on the water cutting rate was established, and the parameters of 17 rock samples were calculated. It was found that the variation velocity of water saturation of each sample with the water cutting rate presented a “U” shape, which was consistent with the actual characteristics that the variation velocity of the water saturation in the early, middle, and late stages of oilfield development first decreased, then stabilized, and finally increased rapidly. The research results were applied to the prediction of remaining oil saturation in the research area, and the water saturation about six producing wells was calculated by using their present water cutting rates, and the remaining oil distribution profile was predicted effectively. The analysis of four layers of two newly drilled infill wells and reasonable oil recovery suggestions were given to achieve good results.

在井的生产过程中动态记录含水率。如果能够根据含水率推导储层的剩余油饱和度，将为提高储层采收率提供指导，并可以节省昂贵的钻井成本。在岩心油水两相渗流实验中，油水相对渗透率反映了含水率与含水饱和度之间的关系，即渗流饱和度公式。利用大庆长​​垣6个封闭取心井的17个岩石样品的相对渗透率测试数据，优化并建立了随储层孔隙结构参数变化的渗滤饱和指数公式系数，形成一个变系数的指数渗流饱和度公式，该公式与储层的区域地质特征更加一致。在此基础上，推导了由含水率计算出的含水饱和度公式。给出了通过有效孔隙率，绝对渗透率和页岩含量计算出不可约水饱和度和剩余油饱和度的高精度公式。建立了含水饱和度对含水率的推导公式，并计算了17个岩石样品的参数。结果表明，各样品含水率随含水率的变化速度呈“ U”形，这与早期，中期，后期的含水率变化速度的实际特征相吻合。油田开发的后期先减少后稳定，最后迅速增加。将研究结果应用于研究区的剩余油饱和度预测，并利用其目前的含水率计算出六口生产井的含水饱和度，并有效预测了剩余油分布曲线。分析了两个新钻的填充井的四层，并提出了合理的采油建议，以取得良好的效果。有效地预测了剩余的油分布。分析了两个新钻的填充井的四层，并提出了合理的采油建议，以取得良好的效果。有效地预测了剩余的油分布。分析了两个新钻的填充井的四层，并提出了合理的采油建议，以取得良好的效果。