No abstract

No abstract

No abstract

No abstract

A radical approach to 3-D acquisition in country with large sand dunes was developed to improve seismic data quality. A methodology was devised which allowed accurate removal of near-surface statics and transmission effects giving enhanced depth prognosis. An adaptive noise-attenuation technique, based upon an image-processing procedure, was developed to improve the signal-to-noise ratio of 3-D data that were contaminated with ‘acquisition footprint’. Finally, parallel survey geometries were devised that reduced the noise contamination of the next generation of 3-D surveys in the Berkine Basin. Most of the 3-D surveys acquired in the Berkine Basin are now designed with parallel templates rather than cross-spreads. This survey technique has been shown to provide better spatially sampled data, despite the interference caused by the huge sand dunes, which, in turn, respond more positively to standard pre-stack noise-attenuation processing. Attribute and coherency analysis, as well as stratigraphic interpretation, is now possible on these datasets with a much greater degree of confidence.