Method and system for wavefield separation of sonic data using cross-correlation
A method for wavefield separation of sonic data is provided. The method comprises estimating direct phases of waveforms of sonic data observed with two or more sensors by using cross-correlation of waveform traces at adjacent sensor locations, removing the direct phases from the observed waveforms, and extracting event signals from the waveforms after removing the direct phases.
1. A method for wavefield separation of sonic data, the method comprising:
estimating direct phases of waveforms of sonic data observed with two or more sensors by using cross-correlation of waveform traces at adjacent sensor locations;
removing the direct phases from the observed waveforms; and
extracting event signals from the waveforms after removing the direct phases;
wherein the direct phases of waveforms are approximated by polynomial fitting.
2. The method according to claim 1 , further comprising:
estimating time differences of phase arrivals to a reference time using cross-correlation of the waveform traces; and
estimating the direct phases of waveforms based on the time differences of phase arrivals.
3. The method according to claim 2 , wherein the time differences of phase arrivals are estimated by successively applying time shift to the waveform traces and computing cross-correlation for the time shifted waveform traces.
4. The method according to claim 1 , further comprising applying a k-f filter to remove unwanted signals from the waveforms.
5. The method according to claim 1 , further comprising applying a k-f filter to select up-going or down-going waves from the waveforms.
6. The method according to claim 1 , further comprising analyzing a subterranean structure near a borehole by processing the event signals.
7. A system for wavefield separation of sonic data, the system comprising:
a memory to record sonic data and a processor used to:
estimate direct phases of waveforms of sonic data observed with two or more sensors by using cross-correlation of waveform traces at adjacent sensor locations;
remove the direct phases from the observed waveforms; and
extract event signals from the waveforms after removing the direct phases;
wherein the direct phases of waveforms are approximated by polynomial fitting.
8. The system according to claim 7 , wherein the processor is used further to:
estimate time differences of phase arrivals to a reference time using cross-correlation of the waveform traces; and
estimate the direct phases of waveforms based on the time differences of phase arrivals.
9. The system according to claim 8 , wherein the time differences of phase arrivals are estimated by successively applying time shift to the waveform traces and computing cross-correlation for the time shifted waveform traces.
10. The system according to claim 7 , wherein the processor is further used to apply a k-f filter to remove unwanted signals from the waveforms.
11. The system according to claim 7 , wherein the processor is further used to apply a k-f filter to select up-going or down-going waves from the waveforms.
12. The system according to claim 9 , wherein the processor is further used to analyze a subterranean structure near a borehole by processing the event signals.