Digital seismic processing transforms raw data into computer-generated images of the subsurface, and each processing method is based on a specific model that explains the propagation of seismic waves. The wavelet is a basic building block of these seismic models, and wavelet estimation plays a fundamental role in geophysics.
A most useful approach is the convolutional model, which appears in one form or another in many processing and interpretation methods. The convolutional model has three components—the wavelet as input, the unit-impulse response function, and the trace as output. The trace is equal to the convolution of the wavelet with the...
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