SYSTEMS AND METHODS FOR FREQUENCY-DOMAIN FILTERING AND SPACE-TIME DOMAIN DISCRIMINATION OF SEISMIC DATA

摘要

Computational systems and methods that combine global frequency-wavenumber-domain (“f-k domain”) filters with localized eigenimage based event selection to generate a resulting wavefield with reduced filter imprints on gather edges, reduced noise, and correct treatment of aliased energy are disclosed. The methods are executed by applying filters to the full set of seismic gather data in the f-k domain in order to obtain a resulting wavefield from recorded pressure and/or particle velocity data. The output of the filter is iteratively decomposed according to local dip values using eigenimage processing based on singular value decomposition (“SVD”). The same sample locations are extracted using SVD from the input in addition to generating input for a subsequent iteration with already processed data removed. Eigenimage processing methods allow for correct treatment of spatially aliased energy in f-k domain filtering.

主权项

1. A method for filtering seismic data using one or more programmable computers programmed to at least perform the operations of:
receiving pressure data and velocity data generated by one or more multi-component sensors of one or more streamers towed by a survey vessel; initializing a filtered wavefield; for a number of iterations,
applying one or more filters to the pressure data and velocity data to generate a first filtered wavefield;applying singular value decomposition (“SVD”) to the first filtered wavefield to generate an extracted wavefield;updating the filtered wavefield based on the extracted wavefield;adjusting the pressure and velocity data based on extracted pressure data and extracted velocity data produced by SVD applied to the pressure and velocity data; and storing the filtered wavefield in one or more computer-readable media.