Explaining Clusters to Interpreters Using Opacity Modulation
Thang Ha and Kurt Marfurt
The University of Oklahoma, Norman, OK, USA
Unsupervised classification techniques such as self-organizing map (SOM) and generative topographic maps (GTM) extract geologic features that have similar expression in attribute space. Then, through the use of well control, principals of seismic stratigraphy and seismic geomorphology, or microseismic event location, the interpreter assigns meaning to the clusters. Unfortunately, it is very difficult to understand the relationships between clusters and the original seismic amplitude data using conventional co-rendering method. The purpose of this paper is to demonstrate the advantages of a novel implementation of opacity modulation technique regarding cluster interpretation.
AAPG Search and Discovery Article #90206 © AAPG Hedberg Conference, Interpretation Visualization in the Petroleum Industry, Houston, Texas, June 1-4, 2014