A three-dimensional microseismic downhole noise suppression based on polarization filtering method in Shearlet transform

Microseismic noise suppression is widely used in the exploration of unconventional oil and gas resources. The effective microseismic downhole signals have extremely weak energy are contaminated by strong interference, making data processing interpretation difficult. need for high-frequency signal reservation presents a basic problem design methods. represent as continuous reflection event more concentrated features transform domain, which can be to tell from irregular noise. However, complex bring difficulty accurately separating them single threshold. In this study, we propose novel denoising method called Shearlet-polarization filtering effectively suppress general, combination polarization conventional Shearlet transform. Specifically, decompose into multi-directional multi-scale information, providing solid foundation separation background From basis, achieves attenuation full use three-dimensional information. To evaluate performance, also compare proposed with threshold filtering. Experimental results both synthetic field indicate that superior competing methods because it significantly improve continuity smoothness events, even low SNR conditions.