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Abstract

3D seismic classification is a breakthrough technology to determine 3D distribution of pore fluid and lithology from multiple seismic attribute volumes. A supervised classification method was used to define classes of fluid and lithofacies based on knowledge of well production, lithology and seismic amplitude. Using cross-plot discriminant analysis, extra classes were defined based on their cluster distribution, separating classes based on their degree of risk. The generated class cubes provide the location of prospective targets and the associated probability cubes provide quantitative estimation of risk. 3D visualization techniques vividly display the distribution of fluid and lithofacies and also provide the volume-percentages of different classes, which is important for quality control. Multiple attribute 3D seismic classification analysis identifies top drilling targets in a matter of weeks instead of months.

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/content/papers/10.3997/2214-4609-pdb.38.F066
2003-09-01
2020-09-21
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.38.F066
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