Schlumberger

Technical Paper: Seismic DNA: A Novel Visually Guided Search Method Using Nonlocal Search and Multiattribute Data Sets

Society: SEG
Paper Number: 2012-589
Presentation Date: 2012
 

Abstract

We present a new approach to extract features from seismic data using a non-local and multi-attribute search method. By transforming seismic reflection data and attributes derived from seismic data into characters we can search for complex features in the seismic data volumes using a textbased search technology. The method presented here allows for feature patterns with a varying vertical extent, varying attribute values and a varying number of sub-features in the feature signature. We describe the method and give two examples of how it can be used. The first one shows how the number of sub-features can vary in a feature. The second one shows how we can combine different attributes in one search.

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