Seismic Enhancement Processing Method Based on Frequency Division Anisotropic Diffusion Filtering and Its Application in the Design of High Angle Deviated Wells for Shale Oil

The geological conditions of Shengli Oilfield are complex, with fault-developed areas accounting for more than 60% of the shale oil area. Typically, high angle deviated wells are utilized for the effective development of shale oil in complex fault-block regions. During the deployment of these high angle deviated well locations, it is essential to meticulously characterize the fault system in the study area. The detailed characterization of fault systems requires high-quality seismic data. The relatively low quality of existing post-stack seismic data, it is necessary to conduct enhanced processing of post-stack seismic data to improve the signal-to-noise ratio and resolution. To achieve this, wavelet frequency division and anisotropic diffusion filtering methods are optimized and integrated, forming a frequency division anisotropic diffusion fault enhancement processing technique. The practical application results demonstrate that after the post-stack seismic data undergoes frequency-division diffusion filtering, both the dominant frequency and the signal-to-noise ratio are enhanced to a certain extent, leading to an overall improvement in the quality of the seismic data.