【摘要】 隔夹层影响流体渗流，控制油水及剩余油分布，深层取心成本高，常规测井曲线分辨率低且薄互层信号模糊，深部隔夹层识别难度大。通过对关键井岩心研究，得出了隔夹层敏感测井曲线及其响应特征，采用小波分解和重构，对常规敏感测井曲线进行了高分辨率处理，降低了邻层平滑效应，突出了薄层界面测井响应特征，薄层识别分辨率提高了近1倍。综合利用隔夹层地层倾角矢量模式和伪成像特征，确立了深部隔夹层判识划分方法，应用实例表明，该方法可精细识别隔夹层，相比常规方法，隔夹层辨识能力显著提升，井间小层对比精度提高38%，解释了油水界面倾斜问题，得出了剩余油分布规律。更多还原

【Abstract】 Barrier/interlayer is a key factor that significantly affects fluid flow and controls the distribution of oil and water, and it serves as a crucial evidence for understanding the distribution of remaining oil. Barrier/interlayer in deep strata is difficult to identify due to the high coring cost, large depth error in logging data, low resolution of conventional logging curves, and ambiguous signals from thin interbeds.Through core analysis of key wells, the logging curves sensitive to barrier/interlayer and their response characteristics were identified. By employing wavelet decomposition and reconstruction, the conventional sensitive logging curves were processed with high resolution, which reduced the smoothing effect of adjacent layers and highlighted the logging response characteristics of thin layer interfaces, making thin layer identification resolution enhanced by nearly 100%. By integrating the vector pattern of formation dip and pseudo-imaging characteristics of barrier/interlayer, a method for identifying and dividing deep barrier/interlayer was established. Actual applications demonstrate that this method allows for precise identification of barrier/interlayer, with a much higher capability than conventional methods. This method yields an accuracy of layer correlation between wells increased by 38%, elucidating the issue of inclined oil-water contact and providing remaining oil distribution.更多还原