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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
ABSTRACT: Integrated Seismic Texture Segmentation and SOM
Cluster
Analysis
for Channel Delineation
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In recent years, 3D volumetric attributes have gained wide acceptance by seismic interpreters. The early introduction of the single-trace
complex trace attribute was quickly followed by seismic sequence
attribute mapping workflows. Three-dimensional geometric attributes
such as coherence and curvature are also widely used. Most of these attributes correspond to very simple, easy-to-understand measures
of a waveform or surface morphology. However, not all geologic features can be so easily quantified. For this reason, simple statistical
measures of the seismic waveform such as rms amplitude and texture
analysis
techniques prove to be quite valuable in delineating more
chaotic stratigraphy.
I coupled structure-oriented texture analysis
based on the gray-level co-occurrence matrix with self-organizing maps (SOM) clustering
technology and applied it to classify seismic textures. By this way, I expect that this workflow should be more sensitive to lateral changes,
rather than vertical changes, in reflectivity. I applied the methodology to a 3D seismic survey acquired over Osage County, Oklahoma,
USA. The results indicate that this method can be used to delineate meandering channels as
well
as to characterize chert reservoirs.