Oct 12th-West Side Tech Breakfast: Wavelet denoise for seismic noise attenuation*

May 11th - West Side Tech Breakfast
Sponsored by Schlumberger
Meeting Location:
Schlumberger Facility
10001 Richmond Ave.
Houston, TX  77042

Speaker: Dr. Zhou Yu, BP

Delivering high-resolution seismic images is an important objective for both land as well as marine data processing. Often, we tend to compromise bandwidth in return for better signal-to-noise ratio, however, this has a direct negative impact on the resolution of the final seismic image. In this abstract, we develop and discuss a new approach using wavelet denoise for noise attenuation that delivers a better signal-to-noise ratio without compromising the bandwidth. Our approach is adaptive, automatic, non-stationary and exploits the signal characteristics in a complete 3D sense. We use forward and inverse normal move-out (NMO) in conjunction with a wavelet transform to effectively distinguish signal from noise and subsequently remove the undesired components.  Our approach is well suited for dealing with high amplitude scattered noise such as ground roll and other forms of noise that may be spatially aliased. We demonstrate the effectiveness of our algorithm using multiple examples from various land data-sets acquired around the world in different geological settings.

Speaker Biography: Dr. 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

THANK YOU TO OUR GENEROUS SPONSOR:

When
10/12/2016 7:00 AM - 8:30 AM
Central Daylight Time

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