Visualization of irregularly sampled seismic data with AVS

Carmen B. Mora, Robert G. Clapp, and Biondo Biondi

cmora@intevep.pdv.com, bob@sep.stanford.edu, biondo@sep.stanford.edu

ABSTRACT

We present a visualizer for multi-dimensional irregularly sampled data sets using SEPlib90 (SEP's library to handle irregularly sampled data) data access routines and AVS's (Application Visualization System) visualization environment. We developed two AVS modules that read, stack and regularize irregularly sampled data sets, and two modules that extract 2-D slices from n-dimensional data and generate the corresponding surface in 3-D space. These modules can be combined with standard AVS modules to display the data. Information on the reliability of interpolated data is also generated and displayed simultaneously with the seismic data for improved interpretation.