IP Library Granted Patent US 10,401,519
Granted Patent B2
US 10,401,519 · App. 15/035,084 · Granted Sep 3, 2019

Noise removal for distributed acoustic sensing data

Inventors: Mark Elliott Willis (Katy, TX); Oscar Augusto Barrios (Conroe, TX); Victor K. Leung (Houston, TX); Andreas Ellmauthaler (Rio de Janeiro, BR)
Assignee: Halliburton Energy Services, Inc.
G01V1/364G01H9/004G01V1/42G01V2210/1295G01V2210/1429G01V2210/322G01V2210/3246
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Quick Facts
Patent No.
US 10,401,519
App. No.
15/035,084
Granted
Sep 3, 2019
Kind
B2
Abstract

An example system for noise removal in distributed acoustic sensing data may include a distributed acoustic sensing (DAS) data collection system and an information handling system coupled thereto. The information handling system may receive seismic information from the DAS data collection system. The seismic information may include seismic traces associated with a plurality of depths in the wellbore. The information handling system may also generate a noise pilot trace by stacking one or more of the seismic traces, and subtract the noise pilot trace from the seismic information received from the DAS data collection system.

Claims (50)

1. A system, comprising:

a distributed acoustic sensing (DAS) data collection system coupled to at least one optical fiber at least partially positioned within a wellbore; and

an information handling system coupled to the DAS data collection system, the information handling system comprising a processor and a memory device coupled to the processor, the memory device containing a set of instruction that, when executed by the processor, cause the processor to:

receive seismic information from the DAS data collection system, the seismic information comprising seismic traces associated with a plurality of depths in the wellbore, wherein the seismic traces comprise infinite or near infinite velocity noise events inherent to the DAS data collection system;

collect a selection of traces, wherein the selection of traces comprises one or more of the seismic traces that represent a trace-to-trace consistent noise;

generate a noise pilot trace by stacking the selection of traces, wherein the noise pilot trace is an estimate of the infinite or near infinite velocity noise events;

subtract the noise pilot trace from the seismic information received from the DAS data collection system; and

provide a reduced noise seismic information based on the subtraction.

2. The system of claim 1 , wherein the set of instructions, when executed by the processor, further cause the processor to apply a noise suppression operation to the one or more seismic traces.

3. The system of claim 2 , wherein the noise suppression operation comprises a frequency-space deconvolution filter operation.

4. The system of claim 2 , wherein the noise suppression operation comprises a notch filter operation.

5. The system of claim 2 , wherein the noise suppression operation comprises a band pass filter operation.

6. The system of claim 2 , wherein the noise suppression operation comprises correlating the seismic traces with a vibroseis reference sweep.

7. The system of claim 1 , wherein stacking one or more of the seismic traces comprises stacking a subset of the seismic traces.

8. The system of claim 1 , wherein stacking one or more of the seismic traces comprises mean stacking one or more of the seismic traces.

9. The system of claim 1 , wherein stacking one or more of the seismic traces comprises median stacking one or more of the seismic traces.

10. The system of claim 1 , wherein stacking one or more of the seismic traces comprises applying weighting factors to one or more of the seismic traces.

11. The system of claim 1 , wherein the seismic information is received by the DAS data collection system in response to vibrations being produced in a formation.

12. A method, comprising:

receiving seismic information from a distributed acoustic sensing (DAS) data collection system coupled to at least one optical fiber that is at least partially positioned within a wellbore, the seismic information comprising seismic traces associated with a plurality of depths in the wellbore, wherein the seismic traces comprise infinite or near infinite velocity noise events inherent to the DAS data collection system;

collecting a selection of traces, wherein the selection of traces comprises one or more of the seismic traces that represent a trace-to-trace consistent noise;

generating a noise pilot trace by stacking the selection of traces, wherein the noise pilot trace is an estimate of the infinite or near infinite velocity noise events;

subtracting the noise pilot trace from the seismic information received from the DAS data collection system; and

providing a reduced noise seismic information based on the subtraction.

13. The method of claim 12 , further comprising applying a noise suppression operation to the one or more seismic traces.

14. The method of claim 13 , wherein the noise suppression operation comprises a frequency-space deconvolution filter operation.

15. The method of claim 13 , wherein the noise suppression operation comprises a notch filter operation.

16. The method of claim 13 , wherein the noise suppression operation comprises a band pass filter operation.

17. The method of claim 13 , wherein the noise suppression operation comprises correlating the seismic traces with a vibroseis reference sweep.

18. The method of claim 12 , wherein stacking one or more of the seismic traces comprises stacking a subset of the seismic traces.

19. The method of claim 12 , wherein stacking one or more of the seismic traces comprises mean stacking one or more of the seismic traces.

20. The method of claim 12 , wherein stacking one or more of the seismic traces comprises median stacking one or more of the seismic traces.

21. The method of claim 12 , wherein stacking one or more of the seismic traces comprises applying weighting factors to one or more of the seismic traces.

22. The method of claim 12 , wherein the seismic information is received by the DAS data collection system in response to vibrations being produced in a formation.

23. A non-transitory computer-readable medium comprising instructions that, when executed by a processor, cause a processor to:

receive seismic information from a distributed acoustic sensing (DAS) data collection system coupled to at least one optical fiber that is at least partially positioned within a wellbore, the seismic information comprising seismic traces associated with a plurality of depths in the wellbore, wherein the seismic traces comprise infinite or near infinite velocity noise events inherent to the DAS data collection system;

collect a selection of traces, wherein the selection of traces comprises one or more of the seismic traces that represent a trace-to-trace consistent noise;

generate a noise pilot trace by stacking the selection of traces, wherein the noise pilot trace is an estimate of the infinite or near infinite velocity noise events;

subtract the noise pilot trace from the seismic information received from the DAS data collection system; and

provide a reduced noise seismic information based on the subtraction.

24. The non-transitory computer-readable medium of claim 23 , wherein the instructions, when executed, further cause the processor to apply a noise suppression operation to the one or more seismic traces.

25. The non-transitory computer-readable medium of claim 24 , wherein the noise suppression operation comprises a frequency-space deconvolution filter operation.

26. The non-transitory computer-readable medium of claim 24 , wherein the noise suppression operation comprises a notch filter operation.

27. The non-transitory computer-readable medium of claim 24 , wherein the noise suppression operation comprises a band pass filter operation.

28. The non-transitory computer-readable medium of claim 24 , wherein the noise suppression operation comprises correlating the seismic traces with a vibroseis reference sweep.

29. The non-transitory computer-readable medium of claim 23 , wherein stacking one or more of the seismic traces comprises stacking a subset of the seismic traces.

30. The non-transitory computer-readable medium of claim 23 , wherein stacking one or more of the seismic traces comprises mean stacking one or more of the seismic traces.

31. The non-transitory computer-readable medium of claim 23 , wherein stacking one or more of the seismic traces comprises median stacking one or more of the seismic traces.

32. The non-transitory computer-readable medium of claim 23 , wherein stacking one or more of the seismic traces comprises applying weighting factors to one or more of the seismic traces.

33. The non-transitory computer-readable medium of claim 23 , wherein the seismic information is received by the DAS data collection system in response to vibrations being produced in a formation.

Assignments (1)
NUNC PRO TUNC ASSIGNMENT Recorded May 6, 2016
From: WILLIS, MARK ELLIOTT; BARRIOS, OSCAR AUGUSTO; LEUNG, VICTOR K.; ELLMAUTHALER, ANDREAS
To: HALLIBURTON ENERGY SERVICES, INC.
Reel/Frame 038488/0221 →
Continuity (2)
Provisional Application 62025740 · Jul 17, 2014
Related Publication 20170090054A1 · Mar 30, 2017
Cited By (4)
US 12,196,074 US 12,493,805 US 12,571,301 US 12,663,307