Carey Marcinkovich

A robust and accurate seismic attenuation tomography algorithm

Summary We developed a seismic-attenuation-tomography algorithm for improving image amplitude fidelity and other geophysical applications. This algorithm is based upon the centroid-frequency-shift method. However, compared with the conventional centroid-frequency-shift method, our algorithm has been significantly improved through the

Noise suppression by beam migration with local dip filtering

We have developed a technique that incorporates local dip filtering into beam migration in order to remove coherent noise by differentiating the reflection dip angles of signal from noise. With the estimated upper and lower bounds of the reflection dip angles of the signal (or noise) in a target zone, the method is able to remove the noise (or signal) out of these bounds, so that only signal (or noise) within the bounds is preserved in the target zone. The migrated section, with local dip filtering in the target zone, is subsequently merged with the whole migration section with proper tapers.