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Visualization of Geological Features Using Seismic Volume Rendering, RGB Blending and Geobody Extraction

Chaves, Michelle U.1
 Oliver, Previous HitFlavioTop1

1SIS, Schlumberger, Rio de Janeiro, Brazil.

Visualization and extraction of 3D objects from seismic is critical for improving reservoir understanding, detecting anomalies, and defining facies. The objective of this work is identify geological features of the reservoir using seismic volume rendering; RGB blending, if applying transparency on regional 3D seismic volumes do not provide a clear identification; and geobody extraction for future reservoir characterization. The Seismic Volume Rendering process is a display of all data within a seismic volume at the same time. By rendering a seismic volume, making it partly opaque (high amplitudes) and partly transparent (crossover amplitudes), you can identify hidden structural or depositional features. Even through volume rendering, sometimes is difficult to identify areas of interest. The RGB method is the best option in that situations because allows the blending of seismic attributes and its opacity scales using the primary colors (Red, Green and Blue) which enables a better visualization of geological features. After visualized the 3D object through seismic volume rendering or RGB blending, the body is extracted. The geobody extraction is based on its opacity threshold value. By default, the threshold value is set to 20%. If a cell of the 3D model has an opacity threshold of less than 20%, it will not be included in the geobody however, this value can be edited by changing the Voxel connectivity opacity threshold value. Once extracted, volumetrics can be calculated or it can be directly sampled into a geological model as a discrete object to condition the petrophysical modeling. Existing geobodies can be included or excluded from further volume extraction for improved classification of facies. The resulting property can then be used in much the same way as a facies model to condition petrophysical property models.

AAPG Search and Discover Article #90100©2009 AAPG International Conference and Exhibition 15-18 November 2009, Rio de Janeiro, Brazil