Posted by asefunc on Aug 11, 2015 in RSA | 2 comments
I am doing my research for Fluvial Reservoir Characterization. But, I can’t rely on similarity, because they are not giving good results regarding the geomorphic features visualization.
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Coherence Cube is a registered trademark of Core Labs. Therefore, IHS Kingdom uses the name “Similarity” for the same type of seismic attribute. The principal behind calculating these geometric attributes are same.
I agree that IHS Kingdom’s Similarity attribute may not be very sharp to depict small scale seismic events. However, the reason could be related with the quality of your seismic data, scale of the geological features, etc. There are still several things you may do to improve the result. First of all, I suggest you to consider spectrally decompose your seismic data. Here is the link on how to do it:
– After generating and selecting a spectrally decomposed sub-volume to work with, run Rock Solid Attributes (RSA)
– Select the survey and seismic data type
– You can even select a subset on the fly on the sub-volume for quick tests
– Click Next and Select “Geometry Attributes” from the pull-down menu which are the most useful for understanding the geological features, in your case fluvial system
– Select all the geometric attributes on the list if you do not have any disc space problem on your computer
– Give either a Prefix or a Suffix for the new seismic data type
Have a look at the below link for selecting RSA input parameters:
– Click Next
– Select 32-bit as the storage format if you do not have any disc space problem
– Click Next to run it
After generating those attributes, you can closely examine them at your zone of interest for selecting the best one for your interpretation purpose.
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By the way, the seismic attribute I use most is the “Dip of Maximum Similarity” which give much sharper images for fault detection, etc.
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