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研究了 3种利用测井资料确定剩余油饱和度的方法 ,一是通过自然电位曲线的综合校正求取混合液电阻率 ,进而求得剩余油饱和度的常规测井解释方法 ;二是利用深度延迟技术通过网络的训练与学习来确定剩余油饱和度的深度延迟人工神经网络法 ;三是研究碳氧比资料在消除高矿化度地层水的影响后确定剩余油饱和度的方法。将 3种方法有效结合起来 ,综合分析评价中原油田层间剩余油饱和度的分布 ,取得了较好的应用效果
Three methods for determining the remaining oil saturation by using well logging data are studied. The first method is to calculate the resistivity of the mixed solution by comprehensive correction of the natural potential curve, and then the conventional logging interpretation method of remaining oil saturation is obtained. Second, Delay technology through network training and learning to determine the residual oil saturation of the deep delay artificial neural network method; Third is to study the carbon and oxygen ratio data to eliminate high salinity formation water after the method of determining the remaining oil saturation. Combining the three methods effectively, the distribution of remaining oil saturation between layers in Zhongyuan oilfield is comprehensively analyzed and evaluated, and the better application effect is obtained