3D prestack land data enhancement based on nonlinear beamforming in cross-spread domain [Электронный ресурс]

Авторы: Bakulin A.     Silvestrov I.     Dmitriev M.     Neklyudov D.   (ИНГГ СО РАН)   Protasov M.   (ИНГГ СО РАН)   Gadylshin K.   (ИНГГ СО РАН)   Dolgov V.    
дата публикации: 2019
We present nonlinear beamforming (NLBF), a new method for enhancing 3D prestack land seismic data corrupted by challenging near-surface or overburden scattering. The method is based on the ideas of multidimensional stacking techniques such as common-reflection surface and multifocusing, but is designed specifically for modern 3D land seismic data. NLBF searches for local coherent nonlinear events in the data in the cross-spread domain and then performs beamforming along the estimated trajectories. We present details of the nonlinear beamforming algorithm and real-data examples showing the capabilities of the method. We expect NLBF to significantly streamline seismic processing of modern high-channel count and single-sensor data, and lead to improved images as well as better prestack data for estimation of reservoir properties.
первоисточник: 81st EAGE Conference and Exhibition 2019 Embrace Change - Creativity for the Future (London, United Kingdom, 3-6 June 2019)
страницы: Tu_R06_07
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