Estimating and correcting perturbations on seismic particle motion sensors employing seismic source signals

• US 9,229,128 B2
• Filed: 08/17/2008
• Issued: 01/05/2016
• Est. Priority Date: 08/17/2008
• Status: Active Grant

• Current Assignee: WesternGeco LLC
• Original Assignee: WesternGeco LLC
• Inventors: Ozdemir, Ahmet Kemal, Goujon, Nicolas, Borgen, Lars
• Primary Examiner(s): Murphy, Daniel L
• Application Number:
  US12/193,040
• Publication Number:
  US 20100039888A1
• Time in Patent Office: 2,697 Days
• Field of Search: 364/421, 367/13, 367/21, 367/24
• US Class Current: 1/1
• 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 1/3808 Seismic data acquisition, e.g. survey design
• CPC Class Codes: G01V 13/00 Manufacturing, calibrating, cleaning, or repairing instruments or devices covered by groups G01V1/00 – G01V11/00
• CPC Class Codes: G01V 2210/32 Noise reduction

Abstract

A computer-implemented method includes accessing a set of multicomponent marine noise data exhibiting a plurality of polarization vectors at each of a plurality of co-located pressure and particle motion data points on a marine seismic survey apparatus; and determining a set of perturbation noise data for the marine seismic survey apparatus from the polarization vectors. Computer readable program storage media are encoded with instructions that, when executed by a processor, perform the computer-implemented method. A computing apparatus is programmed to perform the computer-implemented method.

Claims

1. A computer-implemented method, comprising:

accessing a set of multicomponent calibration data exhibiting a plurality of polarization vectors in y and z directions at each of a plurality of paired pressure and particle motion data points on a marine seismic survey apparatus;

determining a set of perturbations for the marine seismic survey apparatus from the polarization vectors, wherein the perturbations comprise orientation alignment perturbation errors in the y and z directions; and

determining a set of calibration values corresponding to the perturbations.

2. The computer-implemented method of claim 1, wherein accessing the multicomponent calibration data includes accessing a set of acquired multicomponent calibration data.

3. The computer-implemented method of claim 1, wherein accessing the multicomponent calibration data includes accessing a set of acquired and interpolated multicomponent calibration data.

4. The computer-implemented method of claim 1, further comprising interpolating data from measurements acquired through paired sensors to generate a plurality of data points to generate at least a portion of the calibration data.

5. The computer-implemented method of claim 1, wherein determining the set of perturbations comprises relating the polarization vectors to physical model parameter errors.

6. The computer-implemented method of claim 5, wherein relating the polarization vectors to physical model parameter errors comprises relating the polarization vectors to sensor orientation misalignment, sensor sensitivity, or both sensor orientation and sensor sensitivity.

7. The computer-implemented method of claim 5, wherein relating the polarization vectors to physical model parameter errors includes relating the polarization vectors to sensor misalignment angles relative to cable axes.

8. The computer-implemented method of claim 1, further comprising mitigating the determined perturbations in a set of marine seismic survey data.

9. The computer-implemented method of claim 8, wherein mitigating the determined perturbations in the seismic survey data comprises removing the determined perturbations from the seismic survey data.

10. The computer-implemented method of claim 9, wherein removing the determined perturbations from the seismic survey data includes calibrating the seismic survey data to correct a deviation of a response of a sensor from a nominal response.

11. The computer-implemented method of claim 8, wherein mitigating the determined perturbations in the seismic survey data includes calibrating the seismic survey data to correct a deviation of a response of a sensor from a nominal response.

12. The computer-implemented method of claim 1, wherein the paired pressure and particle motion data points are co-located.

13. The computer-implemented method of claim 1, wherein the orientation alignment perturbation errors are caused by a misaligned sensor relative to a corresponding streamer in the marine seismic survey apparatus.

14. The computer-implemented method of claim 13, wherein at least one of the sensor'"'"'s x, y, or z axes is out of alignment with a corresponding in-line, cross-line, or depth axes of the corresponding streamer.

15. The computer-implemented method of claim 13, wherein the misaligned sensor is a particle motion sensor.

16. The computer-implemented method of claim 1, wherein determining the set of perturbations for the marine seismic survey apparatus further comprises computing an alignment perturbation.

17. The computer-implemented method of claim 16, wherein computing the alignment perturbation comprises using a direction of a source-to-receiver azimuth vector to compute the alignment perturbation.

18. The computer-implemented method of claim 1, wherein the marine seismic survey apparatus comprises a particle motion sensor, and further comprising using the calibration values to correct an alignment perturbation of the particle motion sensor.

19. The computer-implemented method of claim 1, wherein the calibration data is acquired separately from seismic data acquired using the marine seismic survey apparatus.

20. The computer-implemented method of claim 1, wherein the perturbations further comprise orientation alignment perturbation errors in the x direction.

21. The computer-implemented method of claim 1, wherein accessing the set of multicomponent calibration data comprises accessing multicomponent calibration data that had been received from a first sensor corresponding to a y direction and a second sensor corresponding to a z direction.

22. The computer-implemented method of claim 21, wherein the first sensor is a particle motion sensor, and wherein the second sensor is an orientation sensor.

23. The computer-implemented method of claim 22, wherein the orientation sensor is configured to detect orientation of the particle motion sensor.

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

accessing a set of multicomponent calibration data exhibiting a plurality of polarization vectors in y and z directions at each of a plurality of paired pressure and particle motion data points on a marine seismic survey apparatus;

determining a set of perturbations for the marine seismic survey apparatus from the polarization vectors, wherein the perturbations comprise orientation alignment perturbation errors in the y and z directions; and

determining a set of calibration values corresponding to the perturbations.

25. The program storage medium of claim 24, wherein accessing the multicomponent calibration data includes accessing a set of acquired multicomponent calibration data.

26. The program storage medium of claim 24, wherein accessing the multicomponent calibration data includes accessing a set of acquired and interpolated multicomponent calibration data.

27. The program storage medium of claim 24, wherein the method further comprises interpolating data from measurements acquired through paired sensors to generate a plurality of data points to generate at least a portion of the calibration data.

28. The program storage medium of claim 24, wherein determining the perturbations includes relating the polarization vectors to physical model parameter errors.

29. The program storage medium of claim 24, wherein the method further comprises mitigating the determined perturbations in a set of marine seismic survey data.

30. The program storage medium of claim 24, wherein the paired pressure and particle motion data points are co-located.

31. The program storage medium of claim 24, wherein the multicomponent calibration data are acquired by imparting seismic signals at a plurality of depths.

32. A programmed computing apparatus, comprising:

a processor;

a bus system;

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

a software component that, when invoked by the processor, performs a method including;

accessing a set of multicomponent calibration data exhibiting a plurality of polarization vectors in y and z directions at each of a plurality of paired pressure and particle motion data points on a marine seismic survey apparatus;

determining a set of perturbations for the marine seismic survey apparatus from the polarization vectors, wherein the perturbations comprise orientation alignment perturbation errors in the v and z directions; and

determining a set of calibration values corresponding to the perturbations.

33. The programmed computing apparatus of claim 32, wherein accessing the multicomponent calibration data includes accessing a set of acquired multicomponent calibration data.

34. The programmed computing apparatus of claim 32, wherein accessing the multicomponent calibration data includes accessing a set of acquired and interpolated multicomponent calibration data.

35. The programmed computing apparatus of claim 32, wherein the method further comprises interpolating data from measurements acquired through paired sensors to generate a plurality of data points to generate at least a portion of the calibration data.

36. The programmed computing apparatus of claim 32, wherein determining the perturbations comprises relating the polarization vectors to physical model parameter errors.

37. The programmed computing apparatus of claim 32, wherein the method further comprises mitigating the determined perturbations in a set of marine seismic survey data.

38. The programmed computing apparatus of claim 32, wherein the paired pressure and particle motion data points are co-located.

39. The programmed computing apparatus of claim 32, wherein the multicomponent calibration data are acquired by imparting seismic signals at a plurality of depths.