Interpolation and extrapolation method for seismic recordings

• US 7,791,980 B2
• Filed: 07/07/2006
• Issued: 09/07/2010
• Est. Priority Date: 05/21/2004
• Status: Active Grant

• Current Assignee: WesternGeco LLC (Schlumberger NV)
• Original Assignee: WesternGeco LLC (Schlumberger NV)
• Inventors: Morley, Lawrence C., Robertsson, Johan Olof Anders
• Primary Examiner(s): Hellner; Mark
• Application Number:
  US11/456,103
• Publication Number:
  US 20060291328A1
• Time in Patent Office: 1,523 Days
• Field of Search: 367/24, 367/43
• US Class Current: 367/24
• CPC Class Codes: G01V 1/36 Effecting static or dynamic corrections on records, e.g. correcting spread; Correlating seismic signals; Eliminating effects of unwanted energy
• CPC Class Codes: G01V 1/364 Seismic filtering G01V1/37 takes precedence
• CPC Class Codes: G01V 1/38 specially adapted for water-covered areas G01V1/28 takes precedence
• CPC Class Codes: G01V 1/3808 Seismic data acquisition, e.g. survey design
• CPC Class Codes: G01V 2210/56 De-ghosting; Reverberation compensation
• CPC Class Codes: G01V 2210/57 Trace interpolation or extrapolation, e.g. for virtual receiver; Anti-aliasing for missing receivers

Abstract

A method includes: interpolating a set of crossline seismic data from a set of acquired multicomponent seismic data; predicting a multiple in the interpolated and acquired seismic data from the combined interpolated and acquired multicomponent seismic data; and suppressing the predicted multiple. Other aspects include a program storage medium encoded with instructions that, when executed by a computing device, perform such a method and a computing apparatus programmed to perform such a method.

Claims

1. A computer-implemented method, comprising:

interpolating a set of crossline seismic data from a set of acquired multicomponent seismic data;

predicting a multiple in the interpolated and acquired seismic data from the combined interpolated and acquired multicomponent seismic data; and

suppressing the predicted multiple;

wherein the interpoloating, predicting, and suppressing are performed on a computing apparatus.

2. The computer-implemented method of claim 1, wherein interpolating the crossline seismic data includes intrapolating or extrapolating the crossline seismic data.

3. The computer-implemented method of claim 1, wherein interpolating the crossline seismic data includes interpolating and extrapolating the crossline seismic data.

4. The computer-implemented method of claim 1, wherein the acquired multicomponent seismic data includes pressure data and particle motion related data.

5. The computer-implemented method of claim 1, wherein interpolating the set of crossline seismic data includes employing functions of in-line measurements of wavefield quantities or derivatives of measurements of wavefield quantities in the interpolating filter.

6. The computer-implemented method of claim 1, wherein interpolating the set of crossline seismic data includes employing functions of in-line measurements of wavefield quantities and derivatives of measurements of wavefield quantities in the interpolating filter.

7. The computer-implemented method of claim 1, wherein predicting the multiple includes performing a surface related multiple elimination.

8. The computer-implemented method of claim 1, wherein performing the surface related multiple elimination includes performing one of surface multiple prediction, fast surface multiple prediction, generalized surface multiple prediction, or 3D Amundsen demultiple prediction.

9. The computer-implemented method of claim 1, further comprising interpolating a set of inline multicomponent seismic data from the acquired multicomponent seismic data.

10. The computer-implemented method of claim 1, wherein predicting the multiple includes predicting the multiple using one of surface related multiple elimination, wave equation multiple attenuation, Amundsen multiple prediction, move-out based multiple suppression, and Lochtanov multiple prediction.

11. A program storage medium, encoded with instructions that, when executed by a computing device, perform a method comprising:

interpolating a set of crossline seismic data from a set of acquired multicomponent seismic data;

predicting a multiple in the interpolated and acquired seismic data from the combined interpolated and acquired multicomponent seismic data; and

suppressing the predicted multiple.

12. The program storage medium of claim 11, wherein interpolating the crossline seismic data in the method includes intrapolating or extrapolating the crossline seismic data.

13. The program storage medium of claim 11, wherein interpolating the crossline seismic data in the method includes interpolating and extrapolating the crossline seismic data.

14. The program storage medium of claim 11, wherein the acquired multicomponent seismic data in the method includes pressure data and particle motion related data.

15. The program storage medium of claim 11, wherein interpolating the set of crossline seismic data includes employing functions of in-line measurements of wavefield quantities or derivatives of measurements of wavefield quantities in the interpolating filter.

16. The program storage medium of claim 11, wherein interpolating the set of crossline seismic data includes employing functions of in-line measurements of wavefield quantities and derivatives of measurements of wavefield quantities in the interpolating filter.

17. The program storage medium of claim 11, wherein predicting the multiple in the method includes performing a surface related multiple elimination.

18. The program storage medium of claim 11, wherein performing the surface related multiple elimination in the method includes performing one of surface multiple prediction, fast surface multiple prediction, generalized surface multiple prediction, or 3D Amundsen demultiple prediction.

19. The program storage medium of claim 11, wherein the method further comprises interpolating a set of inline multicomponent seismic data from the acquired multicomponent seismic data.

20. The program storage medium of claim 11, wherein predicting the multiple in the method includes predicting the multiple using one of surface related multiple elimination, wave equation multiple attenuation, Amundsen multiple prediction, move-out based multiple suppression, and Lochtanov multiple prediction.

21. A computing apparatus, comprising:

a processor;

a bus system;

a storage communicating with the processor over the bus system; and

a software application residing on the storage that, when executed by the processor, performs a method comprising;

interpolating a set of crossline seismic data from a set of acquired multicomponent seismic data;

predicting a multiple in the interpolated and acquired seismic data from the combined interpolated and acquired multicomponent seismic data; and

suppressing the predicted multiple.

22. The computing apparatus of claim 21, wherein interpolating the crossline seismic data in the method includes intrapolating or extrapolating the crossline seismic data.

23. The computing apparatus of claim 21, wherein interpolating the crossline seismic data in the method includes interpolating and extrapolating the crossline seismic data.

24. The computing apparatus of claim 21, wherein the acquired multicomponent seismic data in the method includes pressure data and particle motion related data.

25. The computing apparatus of claim 21, wherein interpolating the set of crossline seismic data includes employing functions of in-line measurements of wavefield quantities or derivatives of measurements of wavefield quantities in the interpolating filter.

26. The computing apparatus of claim 21, wherein interpolating the set of crossline seismic data includes employing functions of in-line measurements of wavefield quantities and derivatives of measurements of wavefield quantities in the interpolating filter.

27. The computing apparatus of claim 21, wherein predicting the multiple in the method includes performing a surface related multiple elimination.

28. The computing apparatus of claim 21, wherein performing the surface related multiple elimination in the method includes performing one of surface multiple prediction, fast surface multiple prediction, generalized surface multiple prediction, or 3D Amundsen demultiple prediction.

29. The computing apparatus of claim 21, wherein the method further comprises interpolating a set of inline multicomponent seismic data from the acquired multicomponent seismic data.

30. The computing apparatus of claim 21, wherein predicting the multiple in the method includes predicting the multiple using one of surface related multiple elimination, wave equation multiple attenuation, Amundsen multiple prediction, move-out based multiple suppression, and Lochtanov multiple prediction.