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Surface-Consistent Processing of a Full-azimuth Dataset - The Challenges and SolutionsNormal access

Authors: G. Poulain, K. Garceran, M. Grimshaw, D. Le Meur, E. Murray, M. Kowalczyk-Kedzierska, S. Cooper and A. Ourabah
Event name: 76th EAGE Conference and Exhibition 2014
Session: Wide/Multi-azimuth Acquisition Processing
Publication date: 16 June 2014
DOI: 10.3997/2214-4609.20141113
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 1.11Mb )
Price: € 20

Summary:
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 ISSĀ® 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.


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