Fairfield Industries, Inc.

University of Tulsa

Adam Gersztenkorn

The present disclosure relates to a method of processing seismic signals comprising: receiving a set of seismic signals, applying a wavelet transformation to the set of signals and generating transformed signals across a plurality of scales. Then for each scale determining coherence information indicative of the transformed signals and generating a comparison matrix comparing the transformed signals, then outputting seismic attribute information based on combined coherence information.

Detecting structural and stratigraphic information from seismic data

The present invention relates to a method of processing seismic signals comprising: receiving a set of seismic signals, applying a wavelet transformation to the set of signals and generating transformed signals across a plurality of scales. Then for each scale determining coherence information indicative of the transformed signals and generating a comparison matrix comparing the transformed signals, then outputting seismic attribute information based on combined coherence information.

A wavelet-based method for improving the quality of seismic data utilizing the intercept determined by applying least squares regression to the wavelet transform of a seismic trace. The intercept is calculated for every time point of the wavelet transform for each seismic trace. The intercepts are then plotted versus time or depth. These plots are used in place of seismic traces themselves to create two dimensional and three dimensional seismic section images. In one embodiment, the real and imaginary portions of the selected wavelet transform are weighted to generate a finer representation of the intercept. In another embodiment, a minimum amplitude value is utilized to establish a noise floor, thus stabilizing the regression calculation. In yet another embodiment, a taper of the amplitude is applied to wavelet enhance the resolving power of the wavelet.

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Sugar Land, TX, United States of America

Adam Gersztenkorn