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1. WO2004099819 - METHOD FOR COMPUTING AND USING TIMING ERRORS THAT OCCUR IN MULTIPLES PREDICTED BY MULTIPLE PREDICTION ALGORITHM

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[ EN ]

What Is Claimed Is:
1. A method for computing one or more timing errors that occur in one or more multiple reflections predicted by a multiple prediction algorithm, comprising: generating one or more actual three-dimensional primary travel times and one or more actual three-dimensional multiple travel times;
applying the multiple prediction algorithm to the actual three-dimensional primary travel times to generate one or more travel times for the multiple reflections predicted by the multiple prediction algorithm; and
subtracting the actual three-dimensional multiple travel times from the travel times for the multiple reflections predicted by the multiple prediction algorithm.

2. The method of claim 1 , wherein the multiple prediction algorithm is one of a one-dimensional multiple prediction algorithm, a two-dimensional multiple prediction algorithm and a three-dimensional multiple prediction algorithm.

3. The method of claim 1 , wherein generating the actual three-dimensional travel times comprises applying a ray tracing method to a three-dimensional earth model.

4. The method of claim 3, wherein the three-dimensional earth model includes cross-line dip information.

5. The method of claim 3, wherein the three-dimensional earth model includes planar reflective information.

6. The method of claim 3, wherein the three-dimensional earth model includes diffractive surface information.

7. The method of claim 1 , wherein generating the actual three-dimensional travel times comprises applying a ray tracing method to a three-dimensional earth model and one or more data acquisition geometry parameters.

8. The method of claim 7, wherein the data acquisition geometry includes cable-feathering information.

9. The method of claim 1, wherein the multiple reflections are one of surface multiple reflections and interbed multiple reflections.

10. The method of claim 1 , wherein applying the multiple prediction algorithm to the actual three-dimensional primary travel times comprises regularizing the actual three-dimensional primary travel times.

11. The method of claim 1 , wherein applying the multiple prediction algorithm to the actual three-dimensional primary travel times comprises extrapolating the actual three-dimensional primary travel times to fill in one or more travel times associated with one or more missing data traces.

12. The method of claim 1 , wherein applying the multiple prediction algorithm to the actual three-dimensional primary travel times comprises interpolating the actual three-dimensional primary travel times.

13. The method of claim 1 , wherein applying the multiple prediction algorithm to the actual three-dimensional primary travel times comprises generating a set of reciprocal travel times for the actual three-dimensional primary travel times.

14. The method of claim 1 , further comprising using the timing errors to optimize a marine survey design.

15. The method of claim 14, wherein using the timing errors to optimize the marine survey design comprises modifying one or more data acquisition geometry control parameters to minimize a cross line aperture.

16. The method of claim 15, wherein the data acquisition geometry control parameters comprise streamer cable feathering control parameters.

17. The method of claim 14, wherein using the timing errors to optimize the marine survey design comprises modifying a receiver cross line spread width to encompass the cross line aperture.

18. The method of claim 14, wherein the marine survey design is optimized during a line change.

19. The method of claim 1 , further comprising using the timing errors to adjust one or more matching filters in an adaptive subtraction algorithm configured to subtract one or more predicted multiple reflections from a plurality of seismic data traces.

20. The method of claim 1 , further comprising using the timing errors to adjust one or more multiple reflections predicted by the multiple prediction algorithm.

21. The method of claim 20, wherein using the timing errors to adjust the multiple reflections comprises applying a static time shift to a plurality of seismic data traces.

22. The method of claim 20, wherein using the timing errors to adjust the multiple reflections comprises splitting the multiple reflections produced by the multiple prediction algorithm into a plurality of segments; and using the timing errors to adjust the plurality of segments.

23. The method of claim 1 , further comprising using the timing errors to adjust the multiple reflections predicted by the multiple prediction algorithm, thereby creating a plurality of possible multiple reflection models; and using a multidimensional adaptive subtraction algorithm to optimally filter and subtract the possible multiple reflection models from a plurality of seismic data traces.

24. A method for optimizing a marine survey design, comprising:
generating a cross line aperture for one or more multiple reflections;
comparing the cross line aperture with a previous cross line aperture; and modifying one or more data acquisition geometry based on a result of the comparison between the cross line aperture with the previous cross line aperture.

25. The method of claim 24, wherein generating the cross line aperture for the multiple reflections comprises applying a ray tracing method to a three-dimensional earth model to generate the cross line aperture.

26. The method of claim 24, wherein the data acquisition geometry comprises cable feathering.

27. The method of claim 24, wherein modifying the data acquisition geometry comprises modifying one or more streamers for controlling cable feathering.

28. An apparatus for computing one or more timing errors that occur in one or more multiple reflections predicted by a multiple prediction algorithm, comprising: means for generating one or more actual three-dimensional primary travel times and one or more actual three-dimensional multiple travel times;
means for applying the multiple prediction algorithm to the actual three-dimensional primary travel times to generate one or more travel times for the multiple reflections predicted by the multiple prediction algorithm; and
means for subtracting the actual three-dimensional multiple travel times from the travel times for the multiple reflections predicted by the multiple prediction algorithm.