Application of supergrouping to land seismic data in desert environment [Электронный ресурс]


тезисы
Авторы: Bakulin A.     Golikov P.     Dmitriev M.     Dolgov V.     Leger P.     Neklyudov D.   (ИНГГ СО РАН)  
дата публикации: 2017
реферат:
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)
том:
страницы: 4649-4653
ISBN:
ISSN:
внешние ссылки:
DOI  
Scopus  

 Видео