Channel system characterization using Wigner-Ville distribution-based spectral decomposition
Yandong Li, Jinsong Li, Xiaodong Zheng · 2010
Fluvial channel reservoirs constitute one of the most important stratigraphic exploration plays. Spectral decomposition is an effective method for channel delineation due to its sensitive to thin-bed thickness. The commonly used spectral decomposition methods are Short time Fourier transform (STFT) and wavelet transform (WT). However, these two methods have limited time-frequency resolution owing to the use of predetermined bases functions. In contrast, Wigner-Ville distribution possesses superior time-frequency resolution for its not using window function in calculating time-frequency spectrum. We apply the Wigner-Ville distribution based spectral decomposition to a fluvial channel system characterization in an area at South Turgay Basin, Kazakhstan. The stratal slice technique is employed to characterize the evolution of channel deposition with time. To combine different iso-frequency components, we employed the RGB display scheme which shows the low, middle and high frequency component as the red, green and blue component of a color image. Through integration of these techniques, we successfully delineated the Upper Jurassic channel system in the studied area.