North Tech Breakfast: VSP and DAS Data Noise Attenuation using Complex Wavelet Transform*-Oct 3rd

Northside Tech Breakfast
Sponsored by Anadarko and Lumina Reservoir, Inc.

Meeting Location:

Anadarko Petroleum
1201 Lake Robbins Drive
The Woodlands, TX  77380

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Speaker: Zhou Yu, BP
We have developed an iterative processing flow that uses a complex wavelet transform to perform noise attenuation and separation of up- and down-going waves in Vertical Seismic Profiles (VSP) data. It is also used to address the noise problem in Distributed Acoustic Sensing (DAS) data. The objective is to improve the signal-to-noise ratio without compromising the high frequency signal or data bandwidth. This approach is adaptive to the geometry of VSP and DAS data acquisitions, where the limited aperture poses a challenge to conventional methods because of the aliased energy and localized unwanted waves. Another advantage of the methodology is efficiency and ease of use since it asks for very few parameters in the localized representation of data in the complex wavelet transform domain. Significant time reductions were obtained in multiple field data processing projects when compared to processing times using the conventional Fourier transform based method. VSP and DAS field data are used to demonstrate the method’s effectiveness and efficiency. 

Speaker Biography: Zhou Yu, BP
Zhou received a B.S. (1983) in marine geophysics from Ocean University of China, an M.S. (1996) in geophysics from MIT, USA and a Ph.D. (2001) in geophysics from University Texas at Dallas, USA. Zhou joined BP in 2001 and has been working in BP’s Advanced Seismic Imaging group in the Upstream Technology organization.  Zhou’s interests are innovative solutions to various signal process and analysis problems. They include Kirchhoff migration operator anti-aliasing, land data process, deconvolution, conditioning data for AVO analysis, ocean bottom seismic data process, inverse-Q process and seismic attribute estimation.
Breakfast will be available starting at 7:00 AM
Technical Talk will start at 7:30
Event will end by 8:30


10/3/2017 7:30 AM - 8:30 AM

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