High-resolution channel identification method based on WVD-MEM

As important oil and gas reservoirs, channel sandbody sedimentary has long been a hot research object in the field of oil and gas exploration and development. In recent years, as oil and gas exploration and development continue, channels at greater buried depth with smaller width and lesser thickness have gradually been brought into the focus of attention. However, restrained by factors such as buried depth, complex vertical and horizontal distribution, and low dominant frequency, narrow frequency band, and low spatial resolution of seismic data, it is difficult to identify the channels with high precision. Traditional identification methods including seismic attribute interpretation and time-frequency analysis are often not effective. In this paper, the non-stationary signal analysis method which combine the Wigner-Ville distribution (WVD) and the maximum entropy method (MEM) together (WVD-MEM method for short) was studied. The kernel function of the WVD was extended by the MEM, which not only eliminated the cross terms in WVD signal analysis but also delivered high time-frequency concentration and a high resolution. Furthermore, the maximum entropy power spectrum, instantaneous amplitude, and other seismic attributes of WVD were calculated, which was aimed at highlighting the channel response characteristics and resolution of seismic data from the perspective of improving the resolution of instantaneous amplitudes and power spectra. This method has achieved good results in the application of seismic data channel identification in western Sichuan area. © 2021, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.