Abstract: A method is disclosed to suppress coherent noise in seismic data. Based on the Karhunen-Loeve Transform, this method trains on a region containing undesired coherent noise. Eigenvectors determined from the convariance matrix of that noise are used to reconstruct the noise throughout the data set. Subtracting the reconstruction from the original data leaves a residual in which the coherent noise has been suppressed. Applying this method to a shot record of marine seismic data illustrates that the procedure does suppress noise on actual seismic data.

Abstract: A method is disclosed for estimating the impulse response of the earth from Vibroseis data. Based on a time domain system identification approach, the earth's impulse response is estimated by operating on the seismic trace data and the vibrator pilot. Two implementations are discussed. The first is an adaptive method using a sliding data window and the uncorrelated trace data. Preferably, the process used to control the adaptation is the fast Kalman estimation (FKE) technique. This technique, based on recursive least squares, has a fast convergence rate and desirable computational requirements. The second implementation is non-adaptive. It uses the Levinson recursion technique to compute the Wiener filter solution based on the pilot autocorrelation function and the correlated trace data. Simulations demonstrate the capability of the system identification model to resolve reflection events.