Processing methodology for full-waveform sonic wavefield separation

Abstract

A method for full-waveform sonic (FWS) wavefield separation includes receiving FWS data; performing an anti-aliasing linear Radon transform on the received FWS data; extracting Radon-transformed FWS data corresponding to a wave component using a slanted window; and determining signals of the wave component by performing an inverse Radon transform on the extracted Radon-transformed FWS data.

Description

[0001] priority statement [0002] This application claims priority to US Patent Application No. 15 / 592,979, filed May 11, 2017, the entire contents of which are incorporated herein by reference. technical field [0003] The present disclosure relates to full waveform acoustic wave (FWS) data processing. Background technique [0004] Full Waveform Sonic (FWS) equipment may be used in the borehole to collect FWS data, which may be processed to provide information about the lithological and fluid properties of the formation. Unlike other geophysical surveys, such as earthquakes and vertical seismic profiling (VSP), FWS data are usually measured using a small sampling time interval but a large offset spacing (offsetspacing), so in the FWS data will produce Aliasing effect. Existing FWS processing methods ignore this aliasing effect and simply apply processing techniques developed in other fields to FWS data, resulting in uncertainty and inaccuracy in FWS wavefield separation ...

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Problems solved by technology

Existing FWS processing methods ignore this aliasing effect and simply apply processing techniques developed in other fields to FWS data, resulting in uncertainty and inaccuracy in FWS wavefield separation results

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