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Surface-Consistent Processing of a Full-azimuth Dataset - The Challenges and Solutions
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 76th EAGE Conference and Exhibition 2014, Jun 2014, Volume 2014, p.1 - 5
Abstract
Efficient surface-consistent algorithms are required to fully benefit from ultra high density full-azimuth acquisitions. Innovative solutions for amplitude, deconvolution and residual statics have been implemented and tested on ISS® BP Risha dataset acquired in 2010–2011. High Performance Computing techniques coupled with a new class of algorithms (joint and/or stochastic inversion) allow us to properly process the whole survey in a single pass without chunking the dataset. Obvious improvements on the surface-consistent attributes and seismic images have been obtained when the densest acquisition is processed. This study confirms the benefits of ultra-high density acquisitions and the utility of more reliable surface-consistent processing resulting in better attributes and seismic analysis.