The responses of logging-while-drilling (LWD) electromagnetic resistivity logging in horizontal wells are usually complex due to the effect of the strong heterogeneity and anisotropy of the shale oil reservoir. Therefore, the qualitative interpretation and quantitative evaluation of such data are still challenging. To this end, a correction method is developed for the LWD resistivity logging data acquired from a horizontal well for the shale oil reservoir. First, the electrical interpretation model, which considers the formation resistivity properties and various mud types, is established to accommodate the shale oil formation and horizontal well environment. The effects of the borehole on the measured signals, that is, phase shift and attenuation ratio, are simulated. The relationship between the complicated tool and point source responses in a homogeneous medium is established to suppress these effects. The point-by-point real-time anisotropy correction method is developed for the LWD resistivity data from thick beds based on this borehole correction process and the analytical algorithm. The boundary positions and relative dipping information for the thin formations should be obtained from the mapping logging data. Finally, the horizontal and vertical resistivities of each layer are extracted using the one-dimensional (1D) formation model in association with the gradient optimization algorithm. Numerical results show that the LWD resistivity data after the borehole correction can be simplified to 1D, laying the foundations for the fast data process. Moreover, the horizontal and vertical resistivities of shale oil beds are accurately determined using the anisotropy correction of LWD resistivity data from horizontal wells, thereby providing reliable electrical parameters for the interpretation and quantitative evaluation of the shale oil reservoir.

由于页岩油储层强非均质性和各向异性的影响，水平井随钻测井（LWD）电磁电阻率测井响应通常较为复杂。因此，对此类数据的定性解释和定量评估仍然具有挑战性。为此，针对页岩油藏水平井随钻电阻率测井数据，开发了一种校正方法。首先，建立考虑地层电阻率特性和各种泥浆类型的电学解释模型，以适应页岩油地层和水平井环境。模拟了钻孔对测量信号的影响，即相移和衰减比。建立均匀介质中复杂工具和点源响应之间的关系以抑制这些影响。基于该钻孔校正过程和解析算法，开发了厚层随钻测井电阻率数据逐点实时各向异性校正方法。薄层的边界位置和相对倾角信息应从成图测井资料中获取。最后，使用一维 (1D) 地层模型结合梯度优化算法提取每层的水平和垂直电阻率。数值结果表明，井眼校正后的LWD电阻率数据可以简化为一维，为数据的快速处理奠定了基础。而且，