--> Imaging Techniques in Seismic Geomorphology
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AAPG Southwest Section

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Imaging Techniques in Previous HitSeismicNext Hit Geomorphology

Abstract

Pattern recognition has long been a key to our understanding of geologic landforms and depositional regimes. Channels, dunes, reefs, debris flows, and karst regions all exhibit various geomorphic patterns that provide insight into their origins. In fact, much of the success or failure associated with a geologic investigation depends on our ability to identify and classify various depositional and/or erosional patterns.

Reconstructing ancient landforms hidden within 3D Previous HitseismicNext Hit Previous HitdataNext Hit has many challenges that need to be addressed in order to accurately image the associated patterns. To begin with, the frequency content of traditional Previous HitseismicNext Hit Previous HitdataNext Hit may not be appropriate for resolving certain geologic features. Subtle lithologic changes are not always apparent to the interpreter with traditional Previous HitseismicNext Hit Previous HitdataNext Hit. And variably dipping Previous HitseismicNext Hit reflectors can often obscure the original depositional patterns required for in-depth analysis.

The purpose of this discussion is to highlight and discuss various imaging techniques exercised in Previous HitseismicNext Hit geomorphology to detect depositional events and geological features. Different Previous HitseismicNext Hit attributes and spectral decomposition techniques are often able to enhance and bring out subtle features and/or lithologic changes that are hidden within a traditional Previous HitseismicNext Hit amplitude Previous HitdisplayTop. Flattening and various slicing techniques can be used to help unravel complexities related to non-uniform horizons. Volume co-rendering of differing attributes can provide additional insights as compared to a single attribute. Finally, voxel body picking allows the interpreter to focus in on a specific range of attribute values which are useful in defining geobodies.