Improving pre-stack land data using smart supergrouping [Электронный ресурс]
(ИНГГ СО РАН)
дата публикации: 2018
3D land seismic data acquired in arid environments is often challenging for data processing and interpretation, due to low signal-to-noise ratio and the presence of various types of noise. Traditionally, large source and receiver arrays have been utilized for noise suppression and signal enhancement. A trend in modern seismic data acquisition is to reduce the size of the source and receiver arrays, aiming to record broadband signals for imaging and inversion purposes. For many processing steps and velocity model building, achieving good pre-stack signal-to-noise ratio may be more important. We propose a simple but effective supergrouping technique that significantly enhances prestack data quality. We demonstrate our approach on two 3D onshore datasets from Saudi Arabia.
первоисточник: SEG Technical Program Expanded Abstracts (New Orleans, Louisiana, USA, 18-23 October, 2015)