Suppression of coherent noise in seismic data
AssigneeAmoco Corporation
InventorsRodney L. Kirlin, William J. Done
Life of this patent
Estimating the term…
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.
Claims7
A method of suppressing coherent noise in seismic data comprising:
- (a) defining a training region in the seismic data which comprises primarily coherent noise to be operated on;
- (b) determining eigenvectors corresponding to dominant eigenvalues of data within the training region to form a subspace determined by a set of the eigenvectors;
- (c) defining a target region comprising a portion of or all of the seismic data within which coherent noise is to be suppressed;
- (d) projecting target region data onto the subspace determined by step (b) to define reconstructed target region data;
- and
- (e) subtracting the reconstructed target region data from the target region data of step (c) to suppress coherent noise in the target region.
Dependencies are inferred from the claim text.