Semi-Automatic Detection of Subsurface Seismic Bodies of Relevant Stratigraphic Interest

Abstract

SummaryExtensive 3D seismic volumes Erom around the world have started to show geometry and facies textures of geobodies, which traditionally interpreted through conventional 2D vertical sections, following a time-consuming seismic stratigraphic approach . This method is too labor-intensive and error-prove to be cost-effective . This paper will describe a methodology for the semi-automatie identification of seismic 3D geobodies using single or multiple attribute approaches . Two different approaches have been studied to provide a methodology for a classification of seismic objects (single or multiple seismic reflections) through the analysis of seismic attributen . The operabons of single-attribute approach, like segmentation and threshold cutoffs, are designed to generate a facies volume . The multi-attribute approach maken a classification based on the analysis of a set of cross-plots of couples of attributen ; the methodology allows the generation of facies volumes through the definition of "polygons" on those cross-plots which are more suitable for identifying interenting 3D seismic objects . The last step of the methodology provider the extraction of the surface enveloping the classified seinmie objects . In this paper we present the usage of unconventional seinmie attributen, but in general the same methodology may be used witti any type of seismic attributen .