Fracture has a vital effect on the storage and seepage ability of oil and gas in shale reservoirs, and its effective identification and evaluation is of great significance for shale oil and gas development. To analyze and evaluate fracture development characteristics in the lower sub-member of the third member of the Eocene Shahejie Formation (Es₃^L) and the upper sub-member of the fourth member of the Eocene Shahejie Formation (Es₄^U) in the Jiyang Depression, Bohai Bay Basin, core observations, thin sections, field emission scanning electron microscopy (FE-SEM), and well logging were performed. After data analysis, fracture types in the study area were characterized, relationships between shale oil types and shale oil production were discussed, and a new method was proposed to identify fractures using only conventional logging curves by combining discrete wavelet transform (DWT) and box fractal dimension with sliding window approach (SW box fractal dimension). Our results indicated that the fracture types according to geologic genesis are structural fractures (structural tension fractures, structural shear fractures, and structural tension-shear fractures), non-structural fractures (abnormal pressure fractures, diagenetic contraction fractures, bedding fractures, and dissolution fractures), and organic matter-related fractures. A close relationship occurs involving the types of shale oil and shale oil production, and fractured shale oil usually has the highest initial production. The fracture identification method using the DWT and SW box fractal dimension has good effects, and its accuracy is verified by Fullbore Formation MicroImager (FMI) logging in L69 well. Two high-production wells of shale oil in the study area (wells FY1 and Y187) were used to identify fracture development sections using the DWT and SW box fractal dimension, and excellent application results were obtained. In general, it is an efficient way to fully evaluate fracture development sections in shale reservoirs in logging profiles, and also provides new ideas for the fracture identification method using conventional logging curves in other shale oil regions.

裂缝对页岩储层油气的储渗能力具有重要影响，其有效识别和评价对页岩油气开发具有重要意义。分析评价始新统沙河街组_三段下亚段(Es ₃ ^L )和始新统沙河街组四段上亚段(Es ₄ ^U )裂缝发育特征) 在渤海湾盆地济阳坳陷，进行了岩心观察、薄片、场发射扫描电子显微镜 (FE-SEM) 和测井。通过数据分析，表征了研究区的裂缝类型，探讨了页岩油类型与页岩油产量之间的关系，提出了一种结合离散小波变换（DWT）和箱形分形，仅利用常规测井曲线识别裂缝的新方法。滑动窗口方法的维度（SW 盒分形维数）。我们的研究结果表明，裂缝类型按地质成因分为构造裂缝（构造拉张裂缝、构造剪切裂缝、构造拉剪裂缝）、非构造裂缝（异常压力裂缝、成岩收缩裂缝、顺层裂缝、和溶解裂缝），以及与有机质有关的裂缝。页岩油类型与页岩油产量关系密切，通常以压裂页岩油初始产量最高。使用DWT和SW盒分形维数的裂缝识别方法效果良好，其准确性通过L69井全孔地层显微成像（FMI）测井验证。利用研究区2口页岩油高产井（FY1井和Y187井）利用DWT和SW箱形维数识别裂缝发育剖面，取得了良好的应用效果。总的来说，它是在测井剖面中全面评价页岩储层裂缝发育剖面的有效方法，