The reservoir distribution of block X in Ordos Basin is mainly controlled by the lake level change. The frequent rise and fall of lake level results in the thin interbedded reservoir. Because the seismic data is not sensitive to tight sandstone and it is difficult to predict thin reservoir, this paper uses the Sedimentary Simulation Technology Based on the principle of sequence stratigraphy to predict thin reservoir in the study area. In the process of sediment simulation, the key to this study is to obtain the accurately high-frequency lake level change curve (The frequency of curve is consistent with that of logging, which depends on the number of vertical grids in the process of sedimentary simulation) and reflect it in the model. Because there is only one well in the study area and the data is relatively scarce, the conventional analysis and test data are difficult to provide the characteristics of lake level change. Therefore, this paper uses the INPEFA (Integrated Prediction Error Filter Analysis) technology to analyze the high frequency lake level change. Through the INPEFA processing of GR curve, the obtained lake level change has a clear trend of change, which can directly see the macro change of lake level and the secondary change of lake level in the stratum. On the premise of obtaining the high frequency lake level change curve, in order to ensure that the simulation results can reflect the characteristics of thin layer, combined with the formation thickness and the high frequency lake level change curve, the vertical step size is refined (refined to 60), and the sedimentary simulation is carried out. The simulation results show the characteristics of high resolution, the thin layer is in good agreement with the logging results, and the change of sandstone caused by the secondary rise and fall of lake level is also well reflected in the model. According to the characteristics of tight sandstone reservoir, the high-quality reservoir prediction is carried out by using the simulation results, which provides a new idea for tight sandstone exploration in this area.

鄂尔多斯盆地X区块的储层分布主要受湖泊水位变化控制。湖泊水位的频繁上升和下降导致夹层水库稀薄。由于地震资料对致密砂岩不敏感，难以预测薄储层，本文采用基于层序地层学原理的沉积模拟技术对研究区的薄储层进行了预测。在沉积物模拟过程中，这项研究的关键是获得准确的高频湖水位变化曲线（曲线的频率与测井的频率一致，这取决于沉积物模拟过程中垂直网格的数量）。 ）并将其反映在模型中。由于研究区域只有一口井，而且数据相对稀缺，传统的分析和测试数据很难提供湖泊水位变化的特征。因此，本文使用INPEFA（集成预测误差滤波器分析）技术来分析高频湖泊水位变化。通过GR曲线的INPEFA处理，得到的湖水位变化具有明显的变化趋势，可以直接看到地层中湖水位的宏观变化和湖水位的二次变化。在获取高频湖水位变化曲线的前提下，为确保模拟结果能反映薄层特征，结合地层厚度和高频湖水位变化曲线，对垂直步长进行细化（精确到60），并进行了沉积模拟。模拟结果表明，该模型具有高分辨率，薄层与测井结果吻合的特点，并能较好地反映出湖面二次上升和下降引起的砂岩变化。根据致密砂岩储层特征，利用模拟结果进行了优质储层预测，为该地区致密砂岩勘探提供了新思路。