1887

Abstract

Summary

The use of sophisticated seismic attributes is becoming increasingly more common with the objective of delineating finer details of the subsurface and improving reservoir characterisation ( ). However, some of these attributes can be disappointing when extracted on seismic data collected using a standard acquisition density. In this decimation study, we are using the ultra-high density Risha ISS® survey to extract 20 different grid (node style) and linear (cable style) geometries to reveal the impact of decimation not only on migrated stacks and gathers but also on an extensive range of AVO/AVOA attributes and other products used for imaging and interpreting fine details of the subsurface.

By analysing and comparing these products, using the densest geometry dataset as a quality reference, we show how trace density stands as an important quality indicator regardless of the type of geometry used (cable style or nodal style) and how resolution is in fact a tight combination between sampling and S/N.

We also show how different AVO/AVOA attributes display different sensitivities to decimation and how this sensitivity varies with the strength of the target horizon.

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/content/papers/10.3997/2214-4609.201413301
2015-06-01
2020-03-29
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