Application of supergrouping to land seismic data in desert environment [Электронный ресурс]
(ИНГГ СО РАН)
дата публикации: 2017
We apply supergrouping of land data after moveout corrections and prove that it can address noise issues caused by extreme near-surface scattering present in a desert environment. We demonstrate how supergrouping enhances pre-stack single-sensor data as well as data previously group-formed in the field. Improved statics, velocity estimation, and deconvolution operators obtained with supergrouping all lead to better images. Imaging of supergrouped data also has a clear advantage at least in simple structural settings.
первоисточник: SEG Technical Program Expanded Abstracts (Dallas, 16-21 october 2016)