Automatic detection of interfering seismic wavelets using fractal methods (original) (raw)

Interfering wavelets significantly impact seismic interpretation by complicating the identification of geological interfaces. This work evaluates the effectiveness of various fractal dimension methods—specifically the divider, Hurst, spectral, and variance fractal dimension methods—at automatically detecting and resolving thin layers in seismic sections characterized by significant wavelet interference and random noise. Utilizing synthetic two-dimensional seismic models, the study determines optimal methodologies and window sizes for fractal analysis, ultimately proposing a preferred method for interpreting seismic data effectively.