1887

Abstract

The extraction of structure from seismic data volumes is a challenge, especially when the structure is confined to thin layers and does not follow horizons. Usually, spatial or spectral seismic attributes are used to extract such structural features. A new method that is based on continuous color rendering in red-green-blue (RGB) color space and hue-saturation value allows the extraction of heterogeneities from seismic data cubes that are representative of geological features such as channels and fracture zones. The analysis in continuous color space enhances the dynamic range of the studied data, which allows for image processing to sharpen the heterogeneities representative of geological structures. Simultaneously, it attenuates unwanted noise, which may be present in the seismic data. The structurally sharpened RGB method does not rely on spatial averaging in any direction, which is conventionally required during the generation of seismic spatial attributes. This results in high-resolution imaging of structures that has been demonstrated on channels and fracture zones in a 40-m thick clastic layer package.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.20130030
2013-06-10
2024-03-28
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20130030
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error