利用深度序列分析法的基础原理建立多口井的泥质岩储集层裂缝密度模型，可使定量预测储集层裂缝密度具有更高的精度。高家涯油田实例表明，用该模型作出的解释裂缝密度与岩心裂缝密度曲线随深度的变化其趋势基本一致，且平均相对误差为13．5％，较回归分析、BP网络模型进行裂缝预测的平均相对误差（分别为38．7％、17．9％）的精度要高。通过运用该方法反演油田工区多口井的储集层裂缝密度，看出该油田在纵向上有随时代变老、深度加深，裂缝密度呈降低趋势。即从上新统中部（N22）、上新统下部（N12）到中新统（N1），平均裂缝密度从0．78条／m、0．5条／m、降低到0．3条／m；在平面上，沿构造轴部裂缝最发育，平均裂缝密度N22、N12、N1层分别为0．58条／m、0．6条／m、0．3条／m。在实用中，通过实际资料的解释，指明了油田中、南区沿构造轴部为进一步部署钻井的有利地带。图4表2参2（李建国摘） Using the basic principle of depth sequence analysis to establish the fracture density model of multi-well shale reservoirs, it is possible to quantitatively predict the fracture density of reservoirs with higher accuracy. The example of Gaojiazhai oilfield shows that the interpretation of the crack density and the trend of the core crack density curve with the depth changes basically consistent with the model, and the average relative error is 13.5%. Compared with the regression analysis and the BP network model, the fracture prediction The average relative error (38.7%, 17.9%, respectively) was higher. By using this method to inverse the fracture density of the reservoirs in many wells in the oilfield, we can see that the oil field ages with age and deepens in the vertical direction, and the fracture density decreases. From the middle of the Upper Pliocene (N22) to the Lower Pliocene (N12) to the Miocene (N1), the average fracture density decreased from 0.78 / m and 0.5 / m to 0.3 / m; in the plane, along the axis of the structure of the most developed cracks, the average crack density N22, N12, N1 layer were 0.58 / m, 0.6 / m, 0.3 / m. In practice, through the interpretation of actual data, it is indicated that the shafts along the structural axis along the southern and southern oil fields are favorable areas for further drilling deployment. Figure 4 Table 2 Reference 2 (Li Jianguo picks)